Philippe du Jardin : Citation Profile

Groupe EDHEC (École de Hautes Études Commerciales du Nord)

8

H index

7

i10 index

235

Citations

RESEARCH PRODUCTION:

9

Articles

11

Papers

RESEARCH ACTIVITY:

   17 years (2008 - 2025). See details.
   Cites by year: 13
   Journals where Philippe du Jardin has often published
   Relations with other researchers
   Recent citing documents: 33.    Total self citations: 8 (3.29 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pdu253
   Updated: 2026-05-02    RAS profile: 2025-10-10    
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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 Philippe du Jardin.

Is cited by:

Nyitrai, Tamás (4)

BEN JABEUR, SAMI (4)

Virág, Miklós (3)

Muga, Luis (2)

HENTATI KAFFEL, Rania (2)

Lee, King Fuei (2)

PRUSAK, BŁAŻEJ (2)

Silva, Pedro (2)

Gutiérrez-Nieto, Begoña (2)

Alam, Md. Mahmudul (2)

Restaino, Marialuisa (2)

Cites to:

Altman, Edward (36)

Ooghe, Hubert (9)

Lensberg, Terje (5)

Peel, Michael (3)

Wilson, Nicholas (2)

PSILLAKI, Maria (2)

Hunter, John (1)

Jarrow, Robert (1)

Zeckhauser, Richard (1)

Sunder, Shyam (1)

Serrano-Cinca, Carlos (1)

Main data

Where Philippe du Jardin has published?

Journals with more than one article published# docs
European Journal of Operational Research4
Annals of Operations Research2
Computational Economics2

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany8
Post-Print / HAL3

Recent works citing Philippe du Jardin (2025 and 2024)

YearTitle of citing document
2026A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective. (2025). Zhao, YU ; Du, Huaming. In: Papers. RePEc:arx:papers:2211.14997.

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2024Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy. (2024). Brorsson, Mats ; Kraussl, Zs'Ofia ; Wang, Xinlin. In: Papers. RePEc:arx:papers:2411.01928.

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2025Commodity futures option valuation – An ensemble model. (2025). Yang, AO ; Zong, LU ; Wen, Conghua ; Zhai, Jia ; Cao, YI. In: International Review of Financial Analysis. RePEc:eee:finana:v:105:y:2025:i:c:s1057521925004594.

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2024Does the establishment of bankruptcy courts affect the risk of corporate collapse?. (2024). Zhan, Shiyuan ; Lin, Chuanlin. In: International Review of Financial Analysis. RePEc:eee:finana:v:96:y:2024:i:pb:s1057521924007245.

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2025Earnings management visualization and prediction using machine learning methods. (2025). Sverin, Eric ; Veganzones, David. In: International Journal of Accounting Information Systems. RePEc:eee:ijoais:v:56:y:2025:i:c:s1467089525000193.

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2025Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques. (2025). Lu, Yu-Hsin ; Lin, Yu-Cheng ; Liu, Wen-Rang ; Padliansyah, Roni. In: International Journal of Accounting Information Systems. RePEc:eee:ijoais:v:56:y:2025:i:c:s146708952500020x.

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2025Hierarchical clustering-based early warning model for predicting bank failures: Insights from Ghanas financial sector reforms (2017–2019). (2025). Odei-Mensah, Jones ; Owoo, Natalia. In: Research in International Business and Finance. RePEc:eee:riibaf:v:77:y:2025:i:pb:s0275531925002004.

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2026Forecasting corporate bankruptcy in imbalanced datasets using a new hybrid machine learning approach. (2026). ben Jabeur, Sami ; Sverin, Eric ; Veganzones, David. In: Research in International Business and Finance. RePEc:eee:riibaf:v:81:y:2026:i:c:s0275531925004568.

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2025Generative artificial intelligence augmenting SME financial management. (2025). Metzger, Michael ; O'Reilly, Sen ; An, Ciarn Mac. In: Technovation. RePEc:eee:techno:v:147:y:2025:i:c:s0166497225001452.

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2025The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia. (2025). Papkov, Lenka. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001295.

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2024The relevance of cash flow information in predicting corporate bankruptcy in Italian private companies. (2024). Poli, Simone ; Gatti, Marco. In: MANAGEMENT CONTROL. RePEc:fan:macoma:v:html10.3280/maco2024-001009.

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2024A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data. (2024). Cagnoni, Stefano ; Pardalos, Panos M ; Pellegrino, Mattia ; Lombardo, Gianfranco ; Adosoglou, George ; Poggi, Agostino. In: Future Internet. RePEc:gam:jftint:v:16:y:2024:i:3:p:79-:d:1346609.

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2024Multiperiod Bankruptcy Prediction Models with Interpretable Single Models. (2024). Santos, Jos ; Rodrguez, Manuel ; Beade, Ngel. In: Computational Economics. RePEc:kap:compec:v:64:y:2024:i:3:d:10.1007_s10614-023-10479-z.

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2025Predicting Corporate Financial Failure Using Sigmoidal Opposition-Based Arithmetic Optimization Algorithm. (2025). Chhabra, Amit ; Manita, Ghaith ; Guesmi, Ramzi ; Hamrouni, Tarek ; Khaldi, Mohamed. In: Computational Economics. RePEc:kap:compec:v:66:y:2025:i:1:d:10.1007_s10614-024-10716-z.

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2025Ensemble Methods for Bankruptcy Resolution Prediction: A New Approach. (2025). Pellejero, Mnica ; Blzquez-Santana, Flix ; Cervio-Cortnez, Daniel L ; Snchez-Medina, Agustn J. In: Computational Economics. RePEc:kap:compec:v:66:y:2025:i:5:d:10.1007_s10614-024-10709-y.

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2024The relationship between institutional investors’ holding in public firms and the level of corporate solvency. (2024). Pivin, Yehuda ; Yagil, Yossi. In: Journal of Management & Governance. RePEc:kap:jmgtgv:v:28:y:2024:i:4:d:10.1007_s10997-024-09707-x.

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2025Bankruptcy prediction using machine learning and Shapley additive explanations. (2025). Nguyen, Hoang Hiep ; Viviani, Jean-Laurent ; ben Jabeur, Sami. In: Review of Quantitative Finance and Accounting. RePEc:kap:rqfnac:v:65:y:2025:i:1:d:10.1007_s11156-023-01192-x.

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2026Financial distress prediction using signatures: evidence from Chinese listed firms. (2026). Guo, Zihao ; Wang, Yezhen ; Zhang, Kaiwen ; Kuang, Jiaqi. In: Risk Management. RePEc:pal:risman:v:28:y:2026:i:1:d:10.1057_s41283-025-00186-4.

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2024Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. (2024). Riccioni, Jessica ; Maggi, Mario ; Cerqueti, Roy. In: Annals of Operations Research. RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-022-04742-z.

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2024Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. (2024). , Claire ; Lin, Yi-Bing ; Chang, Ming-Feng ; Sun, Edward W. In: Annals of Operations Research. RePEc:spr:annopr:v:343:y:2024:i:3:d:10.1007_s10479-023-05223-7.

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2025Interpretable multi-hop knowledge reasoning for gastrointestinal disease. (2025). Wang, Dujuan ; Abedin, Mohammad Zoynul ; Yin, Yunqiang. In: Annals of Operations Research. RePEc:spr:annopr:v:347:y:2025:i:2:d:10.1007_s10479-023-05650-6.

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2025A decision support system in precision medicine: contrastive multimodal learning for patient stratification. (2025). Yang, Xian ; Xu, Yida ; Yin, Qing ; Zhong, Linda ; Song, Yunya ; Bai, Liang ; Li, Chen ; Wang, Zhihua. In: Annals of Operations Research. RePEc:spr:annopr:v:348:y:2025:i:1:d:10.1007_s10479-023-05545-6.

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2025Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification. (2025). Benoit, Dries F ; Thuy, Arthur. In: Annals of Operations Research. RePEc:spr:annopr:v:353:y:2025:i:2:d:10.1007_s10479-024-06440-4.

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2025Combining multiple data resampling methods and classifier ensembles for better financial distress prediction: homogeneous and heterogeneous approaches. (2025). Hu, Ya-Han ; Wang, Pei-Ting ; Tsai, Chih-Fong. In: Annals of Operations Research. RePEc:spr:annopr:v:353:y:2025:i:2:d:10.1007_s10479-025-06706-5.

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2025Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study. (2025). Benson, Vladlena ; Chang, Victor ; Akinloye, Shola Habib ; Xu, Qianwen Ariel ; Hall, Karl. In: Annals of Operations Research. RePEc:spr:annopr:v:354:y:2025:i:1:d:10.1007_s10479-024-06134-x.

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2025Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework. (2025). Gao, Ruize ; Cui, Shaoze ; Wang, YU ; Xu, Wei. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-024-00745-w.

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2025Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python. (2025). Amghar, Nour-Eddin ; Lahcen, Dina Ait. In: Future Business Journal. RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00613-8.

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2024Innovative Insights into Knowledge-Driven Financial Distress Prediction: a Comprehensive XAI Approach. (2024). Fan, Mengting ; Zhao, Qizhi ; Mo, Zan ; Liang, Zhouyang. In: Journal of the Knowledge Economy. RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01602-4.

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2024Business failure prediction models with high and stable predictive power over time using genetic programming. (2024). Rodriguez, Manuel ; Santos, Jose ; Beade, Angel. In: Operational Research. RePEc:spr:operea:v:24:y:2024:i:3:d:10.1007_s12351-024-00852-7.

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2025An Ensemble Model Minimising Misjudgment Cost: Empirical Evidence From Chinese Listed Companies. (2025). Hajek, Petr ; Abedin, Mohammad Zoynul ; Yuan, Kunpeng. In: International Journal of Finance & Economics. RePEc:wly:ijfiec:v:30:y:2025:i:4:p:3875-3900.

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2024A novel semisupervised learning method with textual information for financial distress prediction. (2024). Qu, YI ; Yao, Yinhong ; Chen, Zhensong ; Qiu, Yue. In: Journal of Forecasting. RePEc:wly:jforec:v:43:y:2024:i:7:p:2478-2494.

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2025Default Prediction Framework With Optimal Feature Set and Matching Ratio. (2025). Zhou, Ying ; Tan, Hongping ; Chi, Guotai ; Bai, Fengshan. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:7:p:2067-2088.

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2026Forecasting Corporate Bankruptcy Through Class‐Rebalanced Self‐Training Semi‐Constrained Matrix Factorization. (2026). Dong, Jipeng ; Liu, Xueyong ; Chen, Zhensong. In: Journal of Forecasting. RePEc:wly:jforec:v:45:y:2026:i:2:p:530-546.

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Works by Philippe du Jardin:

YearTitleTypeCited
2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time In: European Journal of Operational Research.
[Full Text][Citation analysis]		article27
2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time.(2012) In: MPRA Paper.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 27		paper
2015Bankruptcy prediction using terminal failure processes In: European Journal of Operational Research.
[Full Text][Citation analysis]		article44
2016A two-stage classification technique for bankruptcy prediction In: European Journal of Operational Research.
[Full Text][Citation analysis]		article31
2021Forecasting corporate failure using ensemble of self-organizing neural networks In: European Journal of Operational Research.
[Full Text][Citation analysis]		article7
2012Forecasting financial failure using a Kohonen map: a comparative study to improve bankruptcy model over time In: Post-Print.
[Citation analysis]		paper25
2011Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model In: Post-Print.
[Citation analysis]		paper23
2011Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model.(2011) In: MPRA Paper.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 23		paper
2011Dividend policy In: Post-Print.
[Citation analysis]		paper9
2011Dividend policy.(2011) In: MPRA Paper.
[Full Text][Citation analysis]
This paper has nother version. Agregated cites: 9		paper
2019Forecasting Corporate Bankruptcy Using Accrual-Based Models In: Computational Economics.
[Full Text][Citation analysis]		article8
2025Designing Ensemble-Based Models Using Neural Networks and Temporal Financial Profiles to Forecast Firms’ Financial Failure In: Computational Economics.
[Full Text][Citation analysis]		article1
2010Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy In: MPRA Paper.
[Full Text][Citation analysis]		paper35
2010Dynamic analysis of the business failure process: A study of bankruptcy trajectories In: MPRA Paper.
[Full Text][Citation analysis]		paper2
2009Bankruptcy prediction models: How to choose the most relevant variables? In: MPRA Paper.
[Full Text][Citation analysis]		paper11
2012The influence of variable selection methods on the accuracy of bankruptcy prediction models In: MPRA Paper.
[Full Text][Citation analysis]		paper3
2008Bankruptcy prediction and neural networks: The contribution of variable selection methods In: MPRA Paper.
[Full Text][Citation analysis]		paper0
2021Forecasting bankruptcy using biclustering and neural network-based ensembles In: Annals of Operations Research.
[Full Text][Citation analysis]		article8
2023Designing topological data to forecast bankruptcy using convolutional neural networks In: Annals of Operations Research.
[Full Text][Citation analysis]		article1
2025A Quantification Approach of Changes in Firms Financial Situation Using Neural Networks for Predicting Bankruptcy In: Journal of Forecasting.
[Full Text][Citation analysis]		article0

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