Philippe du Jardin
- Accounting top 2%
- Artificial Intelligence top 5%
- Finance top 5%
- Archeology top 2%
- Management Science and Operations Research top 5%
- Co-authors
- Éric SéverinGérald QuatrehommeGeneviève BaudoinVéronique Alunni-PerretVéronique AlunniRoman MaršálekDavid VeganzonesLuc Buchet
- Topics
- Financial Distress and Bankruptcy Prediction (17 papers)Imbalanced Data Classification Techniques (13 papers)Stock Market Forecasting Methods (9 papers)
- Cited by
- AccountingFinanceArcheology
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsInformation Sciences
- Partner nations
- FranceFinlandUnited States
In The Last Decade
Philippe du Jardin
30 papers receiving 904 citations
Peers
Comparison fields: 5 of 108
- Accounting 538
- Artificial Intelligence 341
- Finance 184
- Archeology 150
- Management Science and Operations Research 149
Countries citing papers authored by Philippe du Jardin
This map shows the geographic impact of Philippe du Jardin'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 Philippe du Jardin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe du Jardin more than expected).
Fields of papers citing papers by Philippe du Jardin
This network shows the impact of papers produced by Philippe du Jardin. 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 Philippe du Jardin. The network helps show where Philippe du Jardin may publish in the future.
Co-authorship network of co-authors of Philippe du Jardin
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe du Jardin. A scholar is included among the top collaborators of Philippe du Jardin 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 Philippe du Jardin. Philippe du Jardin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 32 | |
| 7 | 30 | |
| 8 | 51 | |
| 9 | 69 | |
| 10 | 30 | |
| 11 | 12 | |
| 12 | 107 | |
| 13 | Evaluation du potentiel allélopathique des composés hydrosolubles de l'orge (Hordeum vulgare L. subsp. vulgare) et du grand brome (Bromus diandrus Roth.) moyennant un bio-essai modifié | 2 |
| 14 | 31 | |
| 15 | 35 | |
| 16 | 14 | |
| 17 | ELM Clustering – Application to Bankruptcy Prediction | 2 |
| 18 | Dynamic analysis of the business failure process: A study of bankruptcy trajectories | 4 |
| 19 | 79 | |
| 20 | Bankruptcy prediction and neural networks: The contribution of variable selection methods | 1 |
About Philippe du Jardin
Philippe du Jardin is a scholar working on Accounting, Management Science and Operations Research and Finance, having authored 32 papers that have together received 949 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (17 papers), Imbalanced Data Classification Techniques (13 papers) and Stock Market Forecasting Methods (9 papers). The work is most often cited by research in Accounting (538 citations), Finance (184 citations) and Archeology (150 citations). Philippe du Jardin has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Éric Séverin, Gérald Quatrehomme, Geneviève Baudoin, Véronique Alunni-Perret, Véronique Alunni, Roman Maršálek, David Veganzones, Luc Buchet, Paul Urquhart and Kaj-Mikael Björk. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Information Sciences.
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.