Joël Bessis
About
In The Last Decade
Joël Bessis
2 papers receiving 2 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|---|---|
| Joël Bessis Hungary | 2 | 4 | 3 | 1 | 1 | 3 | 4 | ||
| A. Boot | 2 | 3 0.8× | 3 1.0× | 2 2.0× | 3 | 6 | |||
| María Marta Preziosa Argentina | 2 | 2 0.5× | 2 0.7× | 1 1.0× | 1 1.0× | 9 | 7 | ||
| B. Cheng China | 2 | 5 1.3× | 3 1.0× | 1 1.0× | 2 2.0× | 5 | 7 | ||
| B. Calvert United States | 2 | 2 0.5× | 2 0.7× | 3 3.0× | 1 1.0× | 2 | 4 | ||
| Marc Pilkington Albania | 2 | 2 0.5× | 1 0.3× | 1 1.0× | 1 1.0× | 3 | 4 | ||
| F. Ferrari Italy | 2 | 2 0.5× | 2 2.0× | 1 1.0× | 4 | 8 | |||
| Benjamin Leisinger United Kingdom | 2 | 2 0.5× | 2 2.0× | 1 1.0× | 3 | 5 | |||
| Md Samsul Islam India | 2 | 2 0.5× | 1 1.0× | 3 | 6 | ||||
| F. Eckhardt Germany | 3 | 3 1.0× | 3 | 9 | |||||
| T. Mkrtchyan Germany | 2 | 2 0.5× | 2 2.0× | 7 | 7 |
Countries citing papers authored by Joël Bessis
This map shows the geographic impact of Joël Bessis'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 Joël Bessis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joël Bessis more than expected).
Fields of papers citing papers by Joël Bessis
This network shows the impact of papers produced by Joël Bessis. 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 Joël Bessis. The network helps show where Joël Bessis may publish in the future.
All Works
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.