Béatrice Milard

100 total papers · 408 total citations
29 papers, 266 citations indexed

About

Béatrice Milard is a scholar working on Statistics, Probability and Uncertainty, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Béatrice Milard has authored 29 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 5 papers in Computer Networks and Communications and 5 papers in Sociology and Political Science. Recurrent topics in Béatrice Milard's work include scientometrics and bibliometrics research (17 papers), Cultural Insights and Digital Impacts (5 papers) and Global Urban Networks and Dynamics (4 papers). Béatrice Milard is often cited by papers focused on scientometrics and bibliometrics research (17 papers), Cultural Insights and Digital Impacts (5 papers) and Global Urban Networks and Dynamics (4 papers). Béatrice Milard collaborates with scholars based in France, Germany and Canada. Béatrice Milard's co-authors include Michel Grossetti, Laurent Jégou, Denis Eckert, Vincent Larivière, Yves Gingras, Guillaume Cabanac, Gilles Hubert, Ludovic Tanguy, Claire Bidart and Pierre Mercklé and has published in prestigious journals such as SHILAP Revista de lepidopterología, Urban Studies and Scientometrics.

In The Last Decade

Béatrice Milard

27 papers receiving 244 citations

Author Peers

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

Author						Papers	Cites
Béatrice Milard	118	75	59	39	35	29	266
Laurent Jégou	63 0.5×	75 1.0×	45 0.8×	29 0.7×	31 0.9×	34	234
Denis Eckert	60 0.5×	135 1.8×	99 1.7×	29 0.7×	64 1.8×	39	328
Ali Sina Önder	123 1.0×	126 1.7×	56 0.9×	36 0.9×	26 0.7×	28	312
María Prosperina Vitale	51 0.4×	36 0.5×	80 1.4×	50 1.3×	34 1.0×	30	311
Paul N. Mbatia	78 0.7×	28 0.4×	94 1.6×	38 1.0×	18 0.5×	16	306
Eric Spruyt	170 1.4×	33 0.4×	28 0.5×	24 0.6×	27 0.8×	20	325
Álvaro Piña-Stranger	16 0.1×	36 0.5×	63 1.1×	52 1.3×	17 0.5×	20	240
Frank Havemann	83 0.7×	31 0.4×	30 0.5×	18 0.5×	21 0.6×	24	273
Manfred Bonitz	166 1.4×	42 0.6×	38 0.6×	36 0.9×	34 1.0×	24	316
Ingvild Reymert	90 0.8×	17 0.2×	48 0.8×	29 0.7×	64 1.8×	19	288

Countries citing papers authored by Béatrice Milard

Since Specialization

Citations

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

Fields of papers citing papers by Béatrice Milard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrice Milard

This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Milard. A scholar is included among the top collaborators of Béatrice Milard 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 Béatrice Milard. Béatrice Milard 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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