Éric Séverin

1.3k total citations
38 papers, 899 citations indexed

About

Éric Séverin is a scholar working on Accounting, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Éric Séverin has authored 38 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Accounting, 17 papers in Artificial Intelligence and 6 papers in Economics and Econometrics. Recurrent topics in Éric Séverin's work include Financial Distress and Bankruptcy Prediction (14 papers), Corporate Finance and Governance (11 papers) and Machine Learning and ELM (10 papers). Éric Séverin is often cited by papers focused on Financial Distress and Bankruptcy Prediction (14 papers), Corporate Finance and Governance (11 papers) and Machine Learning and ELM (10 papers). Éric Séverin collaborates with scholars based in France, Finland and Spain. Éric Séverin's co-authors include David Veganzones, Yoan Miché, Amaury Lendasse, Philippe du Jardin, Qi Yu, Mark van Heeswijk, D.L. Jolly, Sture Nordholm, B.C. Freasier and Anne‐Mari Ventelä and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Physics Letters and Neurocomputing.

In The Last Decade

Éric Séverin

31 papers receiving 851 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Éric Séverin France	16	439	402	122	114	109	38	899
Ting Sun China	15	197 0.4×	323 0.8×	66 0.5×	226 2.0×	39 0.4×	43	1.0k
Maciej Zięba Poland	13	411 0.9×	259 0.6×	76 0.6×	52 0.5×	84 0.8×	43	858
Xuan Peng China	15	74 0.2×	161 0.4×	50 0.4×	58 0.5×	42 0.4×	63	627
Philippe du Jardin France	16	341 0.8×	538 1.3×	110 0.9×	149 1.3×	184 1.7×	32	949
Herna L. Viktor Canada	14	656 1.5×	55 0.1×	192 1.6×	121 1.1×	24 0.2×	85	1.3k
Thomas W. Sager United States	17	169 0.4×	106 0.3×	22 0.2×	63 0.6×	139 1.3×	42	1.1k
Fei Wu China	21	95 0.2×	88 0.2×	145 1.2×	100 0.9×	247 2.3×	77	1.2k
Athanasios N. Yannacopoulos Greece	16	74 0.2×	77 0.2×	44 0.4×	128 1.1×	156 1.4×	120	952
Andrew D. Bailey United States	18	119 0.3×	104 0.3×	259 2.1×	79 0.7×	17 0.2×	53	857
Wen Long China	18	162 0.4×	30 0.1×	273 2.2×	392 3.4×	193 1.8×	73	1.1k

Countries citing papers authored by Éric Séverin

Since Specialization

Citations

This map shows the geographic impact of Éric Séverin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Éric Séverin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Séverin more than expected).

Fields of papers citing papers by Éric Séverin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Séverin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Éric Séverin. The network helps show where Éric Séverin may publish in the future.

Co-authorship network of co-authors of Éric Séverin

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Séverin. A scholar is included among the top collaborators of Éric Séverin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éric Séverin. Éric Séverin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Veganzones, David & Éric Séverin. (2025). Earnings management visualization and prediction using machine learning methods. International Journal of Accounting Information Systems. 56. 100743–100743. 1 indexed citations

Veganzones, David & Éric Séverin. (2024). Identification and visualisation of zombie firms using self-organizing maps. Annals of Operations Research. 357(1). 159–190.

Veganzones, David & Éric Séverin. (2023). Influence of corporate governance on exit time: evidence from French zombie firms. European Business Review. 36(5). 688–709. 3 indexed citations

Brédart, Xavier & Éric Séverin. (2021). Regards croisés sur l’échec et la défaillance. La Revue des sciences de gestion/La Revue des sciences de gestion, Direction et gestion. n° 307-308(1-2). 11–13. 1 indexed citations

Séverin, Éric & David Veganzones. (2021). Can earnings management information improve bankruptcy prediction models?. Annals of Operations Research. 306(1-2). 247–272. 22 indexed citations

Brédart, Xavier, Éric Séverin, & David Veganzones. (2021). Human resources and corporate failure prediction modeling: Evidence from Belgium. Journal of Forecasting. 40(7). 1325–1341. 11 indexed citations

Veganzones, David & Éric Séverin. (2020). Corporate failure prediction models in the twenty-first century: a review. European Business Review. 33(2). 204–226. 43 indexed citations

Jardin, Philippe du, David Veganzones, & Éric Séverin. (2017). Forecasting Corporate Bankruptcy Using Accrual-Based Models. Computational Economics. 54(1). 7–43. 30 indexed citations

Akusok, Anton, David Veganzones, Yoan Miché, et al.. (2015). MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing. 159. 242–250. 5 indexed citations

10.

Akusok, Anton, David Veganzones, Kaj-Mikael Björk, et al.. (2014). ELM Clustering – Application to Bankruptcy Prediction. 2 indexed citations

11.

Akusok, Anton, David Veganzones, Yoan Miché, Éric Séverin, & Amaury Lendasse. (2014). Finding Originally Mislabels with MD-ELM. The European Symposium on Artificial Neural Networks. 5 indexed citations

12.

Miché, Yoan, et al.. (2013). Long-term time series prediction using OP-ELM. Neural Networks. 51. 50–56. 82 indexed citations

13.

Yu, Qi, Yoan Miché, Éric Séverin, & Amaury Lendasse. (2013). Bankruptcy prediction using Extreme Learning Machine and financial expertise. Neurocomputing. 128. 296–302. 96 indexed citations

14.

Yu, Qi, et al.. (2010). Ensembles of Locally Linear Models: Application to Bankruptcy Prediction.. 280–286. 1 indexed citations

15.

Jardin, Philippe du & Éric Séverin. (2010). Dynamic analysis of the business failure process: A study of bankruptcy trajectories. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 4 indexed citations

16.

Yu, Qi, et al.. (2010). OP-KNN: Method and Applications. SHILAP Revista de lepidopterología. 2010. 1–6. 4 indexed citations

17.

Yu, Qi, Éric Séverin, & Amaury Lendasse. (2007). Variable Selection for Financial Modeling. 115–126. 7 indexed citations

18.

Séverin, Éric. (2007). Les réductions d'effectifs comme mesure de restructuration pour favoriser la performance. La Revue des sciences de gestion/La Revue des sciences de gestion, Direction et gestion. n°223(1). 13–24. 1 indexed citations

19.

Séverin, Éric. (2006). La renégociation financière des entreprises en difficulté. Revue française de gestion. 32(166). 33–50. 5 indexed citations

20.

Séverin, Éric. (2001). Ownership structure and the performance of firms: Evidence from France. Springer Link (Chiba Institute of Technology). 15(2). 85–107. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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