Laura Palagi : Citation Profile

"Sapienza" Università di Roma

6

H index

5

i10 index

148

Citations

RESEARCH PRODUCTION:

16

Articles

12

Papers

RESEARCH ACTIVITY:

   21 years (1999 - 2020). See details.
   Cites by year: 7
   Journals where Laura Palagi has often published
   Relations with other researchers
   Recent citing documents: 30.    Total self citations: 8 (5.13 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/ppa772
   Updated: 2025-12-20    RAS profile: 2021-01-15    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Laura Palagi.

Is cited by:

Dekker, Rommert (2)

Konnov, Igor (1)

Meissner, Joern (1)

Bomze, Immanuel (1)

Silva, Pedro (1)

Cites to:

Lee, Lung-Fei (4)

Pitt, Mark (4)

Kao, Chihwa (4)

Brorsen, B (2)

Bomze, Immanuel (1)

Steininger, Karl (1)

Silva, Pedro (1)

Schmedders, Karl (1)

Mavrotas, George (1)

Main data

Where Laura Palagi has published?

Journals with more than one article published# docs
Energy2
European Journal of Operational Research2
Journal of Global Optimization2

Working Papers Series with more than one paper published# docs
DIAG Technical Reports / Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"8
DIS Technical Reports / Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza"4

Recent works citing Laura Palagi (2025 and 2024)

YearTitle of citing document
2024Network revenue management game in the railway industry: Stackelberg equilibrium, global optimality, and mechanism design. (2024). Robinson, Mark ; Reimann, Marc ; Dong, Jing-Xin ; Li, Dongjun ; Song, Dong-Ping. In: European Journal of Operational Research. RePEc:eee:ejores:v:312:y:2024:i:1:p:240-254.

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2024Piecewise linear trees as surrogate models for system design and planning under high-frequency temporal variability. (2024). Wu, Yaqing ; Maravelias, Christos T. In: European Journal of Operational Research. RePEc:eee:ejores:v:315:y:2024:i:2:p:541-552.

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2024Mathematical optimization modelling for group counterfactual explanations. (2024). Ramirez-Ayerbe, Jasone ; Carrizosa, Emilio ; Morales, Dolores Romero. In: European Journal of Operational Research. RePEc:eee:ejores:v:319:y:2024:i:2:p:399-412.

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2024Experimental and simulation study on a zeotropic ORC system using R1234ze(E)/R245fa as working fluid. (2024). Chen, Ying ; Luo, Xianglong ; Wu, Wei ; Liang, Yingzong. In: Energy. RePEc:eee:energy:v:292:y:2024:i:c:s036054422400224x.

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2024Improved modelling for ammonia-water power cycle coupled with turbine optimization design: A comparison study. (2024). Wu, Weifeng ; Cheng, Shangfang ; Lou, Juwei ; Wang, Jiangfeng ; Hu, Bin. In: Energy. RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002251.

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2024A robust time-varying weight combined model for crude oil price forecasting. (2024). Xu, Yan ; Zhou, Suyu ; Jie, Qian ; Du, Pei ; Liu, Longlong ; Wang, Jianzhou. In: Energy. RePEc:eee:energy:v:299:y:2024:i:c:s0360544224011253.

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2024Fast robust optimization of ORC based on an artificial neural network for waste heat recovery. (2024). Wu, Xialai ; Shan, LU ; Lin, Ling ; Xie, Lei ; Chen, Junghui. In: Energy. RePEc:eee:energy:v:301:y:2024:i:c:s0360544224014257.

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2024Application of ANN control algorithm for optimizing performance of a hybrid ORC power plant. (2024). Podlasek, Szymon ; Figaj, Rafa ; Baazy, Patryk ; Jankowski, Marcin ; Lalik, Krzysztof. In: Energy. RePEc:eee:energy:v:306:y:2024:i:c:s0360544224018565.

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2025Experiment investigation and machine learning prediction of a biomass-fired organic Rankine cycle combined heating and power system under various heat source temperatures and mass flow rates. (2025). He, Zhi-Xia ; Feng, Yong-Qiang ; Wu, Yu-Zhe ; Liu, Zhi-Nan ; Zhang, Qiang ; Wang, Xing-Xing ; Hung, Tzu-Chen ; Yu, Hao-Shui. In: Energy. RePEc:eee:energy:v:324:y:2025:i:c:s0360544225014835.

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2025Integrated train timetable with supply–demand interactions at the Chinese high-speed railway. (2025). Yang, Lin ; Ke, Jiannan ; Gao, Yuan ; Yuan, Jiawei. In: Omega. RePEc:eee:jomega:v:131:y:2025:i:c:s0305048324001506.

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2025Hybridization of wind farms with co-located PV and storage installations. (2025). Chinaris, Periklis P ; Psarros, Georgios N ; Papathanassiou, Stavros A. In: Renewable Energy. RePEc:eee:renene:v:240:y:2025:i:c:s0960148124021256.

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2025A novel ensemble machine learning approach for optimizing sustainability and green hydrogen production in hybrid renewable-based organic Rankine cycle-operated proton exchange membrane electrolyser system. (2025). Sanjay, K ; Karthik, Pavish A ; Kumar, Praveen G ; Prasath, Guru P ; Madhesh, K. In: Renewable Energy. RePEc:eee:renene:v:242:y:2025:i:c:s096014812500031x.

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2025Review on the use of energy storage systems in railway applications. (2025). Pecharromn, R R ; Cucala, A P ; Cortzar, Vadillo I ; Fernndez-Cardador, A ; Domnguez, M ; Fernndez-Rodrguez, A ; Snchez, Urosa P. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:207:y:2025:i:c:s1364032124006300.

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2025Multi-objective optimization of medium-enthalpy geothermal Organic Rankine Cycle plants. (2025). Braimakis, Konstantinos ; Gkousis, Spiros ; Compernolle, Tine ; Karellas, Sotirios ; Nimmegeers, Philippe. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:210:y:2025:i:c:s1364032124008761.

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2024Preference heterogeneity analysis on train choice behaviour of high-speed railway passengers: A case study in China. (2024). Zhang, Xiaoqiang ; Chen, Pengfang ; Gao, Dongsheng. In: Transportation Research Part A: Policy and Practice. RePEc:eee:transa:v:188:y:2024:i:c:s0965856424002465.

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2024Dynamic container slot allocation for a liner shipping service. (2024). Tian, Xuecheng ; Wang, Tingsong ; Meng, Qiang. In: Transportation Research Part B: Methodological. RePEc:eee:transb:v:179:y:2024:i:c:s0191261523001996.

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2024A flexible train composition strategy with extra-long trains for high-speed railway corridors with time-varying demand. (2024). Liu, Wei ; Zhong, Linhuan ; Guo, Jing ; Xu, Guangming. In: Transportation Research Part B: Methodological. RePEc:eee:transb:v:179:y:2024:i:c:s019126152300200x.

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2024Experimental Research and Improved Neural Network Optimization Based on the Ocean Thermal Energy Conversion Experimental Platform. (2024). Chen, Yun ; Yu, Yanni ; Liu, Yanjun ; Tian, Mingqian ; Lu, Beichen. In: Energies. RePEc:gam:jeners:v:17:y:2024:i:17:p:4310-:d:1466111.

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2025Energy Storage Systems for Fluctuating Energy Sources and Fluctuating Loads—Analysis of Selected Cases. (2025). Buciakowski, Mariusz ; Kaniewski, Jacek ; Jarnut, Marcin. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:18:p:4792-:d:1745399.

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2025Optimal PV Sizing and Demand Response in Greek Energy Communities Under the New Virtual Net-Billing Scheme. (2025). Andreou, Georgios T ; Chronis, Alexandros-Georgios ; Papadaskalopoulos, Dimitrios A ; Kitsikopoulos, Dimitrios ; Chatzigeorgiou, Ioanna-Mirto ; Xenaki, Argyro. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:19:p:5082-:d:1757290.

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2025Techno-Economic Feasibility and Optimal Design Approach of Grid-Connected Hybrid Power Generation Systems for Electric Vehicle Battery Swapping Station. (2025). Masisi, Lesedi ; Nyamayoka, Lumbumba Taty-Etienne ; Wang, Shuo ; Dorrell, David. In: Energies. RePEc:gam:jeners:v:18:y:2025:i:5:p:1208-:d:1603308.

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2024Elasticity-integrated pricing and allocation heuristic for airline revenue management. (2024). Luo, Xiaodong ; Amit, R K ; Jayaram, Aparna ; Agarwal, Amit. In: Journal of Revenue and Pricing Management. RePEc:pal:jorapm:v:23:y:2024:i:4:d:10.1057_s41272-023-00454-6.

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2024Dynamic revenue management in a passenger rail network under price and fleet management decisions. (2024). Yakhchali, Siamak Haji ; Tavakkoli-Moghaddam, Reza ; Kamandanipour, Keyvan. In: Annals of Operations Research. RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-023-05296-4.

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2025Extending artificial intelligence research in the clinical domain: a theoretical perspective. (2025). Sabharwal, Renu ; Miah, Shah J ; Wamba, Samuel Fosso. In: Annals of Operations Research. RePEc:spr:annopr:v:348:y:2025:i:3:d:10.1007_s10479-022-05035-1.

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2025Using dual relaxations in multiobjective mixed-integer convex quadratic programming. (2025). Santis, Marianna ; Eichfelder, Gabriele ; Patria, Daniele ; Warnow, Leo. In: Journal of Global Optimization. RePEc:spr:jglopt:v:92:y:2025:i:1:d:10.1007_s10898-024-01440-x.

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2024A test instance generator for multiobjective mixed-integer optimization. (2024). Gerlach, Tobias ; Warnow, Leo ; Eichfelder, Gabriele. In: Mathematical Methods of Operations Research. RePEc:spr:mathme:v:100:y:2024:i:1:d:10.1007_s00186-023-00826-z.

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2024Designing sustainable diet plans by solving triobjective integer programs. (2024). Patria, Daniele ; de Santis, Marianna ; Benvenuti, Luca. In: Mathematical Methods of Operations Research. RePEc:spr:mathme:v:100:y:2024:i:3:d:10.1007_s00186-024-00879-8.

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2025Multi-criteria Optimization Scheduling of Surgical Units: A Case Study at Policlinico Umberto I of Rome. (2025). Croella, Anna Livia ; Tronci, Edoardo Maria ; Nastasi, Alberto ; Palagi, Laura ; Petitti, Federico ; Romano, Ferdinando. In: SN Operations Research Forum. RePEc:spr:snopef:v:6:y:2025:i:2:d:10.1007_s43069-025-00432-1.

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2024Tuning parameters of deep neural network training algorithms pays off: a computational study. (2024). Coppola, Corrado ; Papa, Lorenzo ; Boresta, Marco ; Amerini, Irene ; Palagi, Laura. In: TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. RePEc:spr:topjnl:v:32:y:2024:i:3:d:10.1007_s11750-024-00683-x.

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2025Interpretable Price Bounds Estimation with Shape Constraints in Price Optimization. (2025). Ikeda, Shunnosuke ; Nishimura, Naoki ; Umetani, Shunji. In: The Review of Socionetwork Strategies. RePEc:spr:trosos:v:19:y:2025:i:1:d:10.1007_s12626-024-00176-0.

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Works by Laura Palagi:

YearTitleTypeCited
2014A Class of Convergent Parallel Algorithms for SVMs Training In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2016Revenue Management: a Market-Service decomposition approach for the Sales Based Integer Program model In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2017Global Optimization issues in Supervised Learning. An overview In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2019Branching with Hyperplanes in the Criterion Space:the Frontier Partitioner Algorithm for Biobjective Integer Programming In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper6
2020Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming.(2020) In: European Journal of Operational Research.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 6		article
2019Profit optimization in one-way free float car sharing services: a user based relocation strategy relying on price differentiation and Urban Area Values In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2019The Sales Based Integer Program for Post-Departure Analysis in Airline Revenue Management: model and solution In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper1
2019Online Block Layer Decomposition schemes for training Deep Neural Networks In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2019Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis In: DIAG Technical Reports.
[Full Text][Citation analysis]		paper0
2009An unconstrained approach for solving low rank SDP relaxations of {-1,1} quadratic problems In: DIS Technical Reports.
[Full Text][Citation analysis]		paper0
2010On the convergence of a Jacobi-type algorithm for Singly Linearly-Constrained Problems Subject to simple Bounds In: DIS Technical Reports.
[Full Text][Citation analysis]		paper2
2010Unconstrained formulation of standard quadratic optimization problems In: DIS Technical Reports.
[Full Text][Citation analysis]		paper4
2012Unconstrained formulation of standard quadratic optimization problems.(2012) In: TOP: An Official Journal of the Spanish Society of Statistics and Operations Research.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 4		article
2012An Exact Algorithm for Quadratic Integer Minimization using Nonconvex Relaxations In: DIS Technical Reports.
[Full Text][Citation analysis]		paper1
2019A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications In: Applied Energy.
[Full Text][Citation analysis]		article17
2015Using SVM to combine global heuristics for the Standard Quadratic Problem In: European Journal of Operational Research.
[Full Text][Citation analysis]		article2
2018A MILP methodology to optimize sizing of PV - Wind renewable energy systems In: Energy.
[Full Text][Citation analysis]		article23
2019Machine Learning for the prediction of the dynamic behavior of a small scale ORC system In: Energy.
[Full Text][Citation analysis]		article13
2020Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line In: Energies.
[Full Text][Citation analysis]		article7
2019Case Article—Production and Distribution Optimization of Beach Equipment for the Marinero Company In: INFORMS Transactions on Education.
[Full Text][Citation analysis]		article1
2019Case—Production and Distribution Optimization of Beach Equipment for the Marinero Company In: INFORMS Transactions on Education.
[Full Text][Citation analysis]		article1
2005Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming In: Mathematics of Operations Research.
[Full Text][Citation analysis]		article6
1999A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem In: Transportation Science.
[Full Text][Citation analysis]		article40
2020Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis In: PLOS ONE.
[Full Text][Citation analysis]		article1
2018Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training In: Computational Optimization and Applications.
[Full Text][Citation analysis]		article3
2019Global optimization issues in deep network regression: an overview In: Journal of Global Optimization.
[Full Text][Citation analysis]		article4
2020Block layer decomposition schemes for training deep neural networks In: Journal of Global Optimization.
[Full Text][Citation analysis]		article0
2009Decomposition Algorithm Model for Singly Linearly-Constrained Problems Subject to Lower and Upper Bounds In: Journal of Optimization Theory and Applications.
[Full Text][Citation analysis]		article16

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