Bénédicte Bucher

109 total papers · 728 total citations
18 papers, 250 citations indexed

About

Bénédicte Bucher is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Bénédicte Bucher has authored 18 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geography, Planning and Development, 7 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Bénédicte Bucher's work include Geographic Information Systems Studies (10 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (5 papers). Bénédicte Bucher is often cited by papers focused on Geographic Information Systems Studies (10 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (5 papers). Bénédicte Bucher collaborates with scholars based in France, Netherlands and United Kingdom. Bénédicte Bucher's co-authors include Danny Vandenbroucke, Joep Crompvoets, Hideo Joho, Ross S. Purves, Paul Clough, David Finch, Bisheng Yang, Avi Arampatzis, Christopher B. Jones and Gaihua Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Data & Knowledge Engineering and ISPRS International Journal of Geo-Information.

In The Last Decade

Bénédicte Bucher

17 papers receiving 232 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bénédicte Bucher 170 126 69 62 44 18 250
Han Qin 76 0.4× 37 0.3× 107 1.6× 38 0.6× 63 1.4× 20 312
Zarine P. Kemp 72 0.4× 184 1.5× 61 0.9× 89 1.4× 25 0.6× 19 293
Patrick Maué 129 0.8× 131 1.0× 159 2.3× 59 1.0× 14 0.3× 17 323
David Medyckyj-Scott 163 1.0× 78 0.6× 57 0.8× 43 0.7× 15 0.3× 27 274
Venkata M. V. Gunturi 45 0.3× 93 0.7× 54 0.8× 43 0.7× 89 2.0× 17 303
Tim Baldwin 97 0.6× 50 0.4× 150 2.2× 66 1.1× 103 2.3× 12 315
Marie-Josée Proulx 67 0.4× 106 0.8× 43 0.6× 61 1.0× 8 0.2× 9 204
Gerasimos Marketos 76 0.4× 248 2.0× 62 0.9× 41 0.7× 92 2.1× 14 305
Kaiyu Feng 42 0.2× 125 1.0× 88 1.3× 58 0.9× 49 1.1× 21 266
Ahmed R. Mahmood 64 0.4× 201 1.6× 59 0.9× 72 1.2× 20 0.5× 27 277

Countries citing papers authored by Bénédicte Bucher

Since Specialization
Citations

This map shows the geographic impact of Bénédicte Bucher'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 Bénédicte Bucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénédicte Bucher more than expected).

Fields of papers citing papers by Bénédicte Bucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bénédicte Bucher. 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 Bénédicte Bucher. The network helps show where Bénédicte Bucher may publish in the future.

Co-authorship network of co-authors of Bénédicte Bucher

This figure shows the co-authorship network connecting the top 25 collaborators of Bénédicte Bucher. A scholar is included among the top collaborators of Bénédicte Bucher 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 Bénédicte Bucher. Bénédicte Bucher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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