Philippe du Jardin : Citation Profile

Groupe EDHEC (École de Hautes Études Commerciales du Nord)

8

H index

7

i10 index

218

Citations

RESEARCH PRODUCTION:

9

Articles

11

Papers

RESEARCH ACTIVITY:

   17 years (2008 - 2025). See details.
   Cites by year: 12
   Journals where Philippe du Jardin has often published
   Relations with other researchers
   Recent citing documents: 22.    Total self citations: 8 (3.54 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pdu253
   Updated: 2026-01-17    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)

PRUSAK, BŁAŻEJ (2)

Alam, Md. Mahmudul (2)

Muga, Luis (2)

Restaino, Marialuisa (2)

Lee, King Fuei (2)

HENTATI KAFFEL, Rania (2)

Gutiérrez-Nieto, Begoña (2)

Silva, Pedro (2)

Cites to:

Altman, Edward (36)

Ooghe, Hubert (9)

Lensberg, Terje (5)

Peel, Michael (3)

PSILLAKI, Maria (2)

Wilson, Nicholas (2)

Sunder, Shyam (1)

Degeorge, Francois (1)

Lennox, Clive (1)

Serrano-Cinca, Carlos (1)

Chava, Sudheer (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
2025A 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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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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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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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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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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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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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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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]		article41
2016A two-stage classification technique for bankruptcy prediction In: European Journal of Operational Research.
[Full Text][Citation analysis]		article29
2021Forecasting corporate failure using ensemble of self-organizing neural networks In: European Journal of Operational Research.
[Full Text][Citation analysis]		article6
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]		paper22
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: 22		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]		article6
2025Designing Ensemble-Based Models Using Neural Networks and Temporal Financial Profiles to Forecast Firms’ Financial Failure In: Computational Economics.
[Full Text][Citation analysis]		article0
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]		paper32
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]		paper10
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]		article6
2023Designing topological data to forecast bankruptcy using convolutional neural networks In: Annals of Operations Research.
[Full Text][Citation analysis]		article0
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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