Michel Leseure

62 total papers · 721 total citations
37 papers, 472 citations indexed

About

Michel Leseure is a scholar working on Strategy and Management, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Michel Leseure has authored 37 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Strategy and Management, 9 papers in Management Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Michel Leseure's work include Innovation and Knowledge Management (7 papers), Quality and Supply Management (6 papers) and Smart Grid Energy Management (5 papers). Michel Leseure is often cited by papers focused on Innovation and Knowledge Management (7 papers), Quality and Supply Management (6 papers) and Smart Grid Energy Management (5 papers). Michel Leseure collaborates with scholars based in United Kingdom, Morocco and Isle of Man. Michel Leseure's co-authors include David Bennett, Naomi Brookes, Keith Ridgway, Nick Fieller, Ian P. McCarthy, Tarik Driouchi, Jovana Radulović, Nicky Shaw, Hom Nath Dhakal and Edward Bernroider and has published in prestigious journals such as Sustainability, International Journal of Operations & Production Management and Technovation.

In The Last Decade

Michel Leseure

32 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Michel Leseure 241 135 90 89 75 37 472
Matti Pihlajamaa 282 1.2× 101 0.7× 60 0.7× 129 1.4× 86 1.1× 23 465
Alessandro Giudici 244 1.0× 139 1.0× 61 0.7× 87 1.0× 52 0.7× 18 439
I.C. Kerssens-van Drongelen 293 1.2× 81 0.6× 104 1.2× 222 2.5× 81 1.1× 23 511
Francis Boadu 310 1.3× 89 0.7× 44 0.5× 46 0.5× 144 1.9× 27 550
Tae Hee Moon 158 0.7× 64 0.5× 108 1.2× 72 0.8× 139 1.9× 16 474
Jonas Rundquist 292 1.2× 68 0.5× 64 0.7× 63 0.7× 79 1.1× 31 410
Jürgen Hauschildt 305 1.3× 130 1.0× 145 1.6× 57 0.6× 69 0.9× 31 542
Paolo Boccardelli 206 0.9× 95 0.7× 66 0.7× 70 0.8× 86 1.1× 34 481
Nicky Shaw 252 1.0× 192 1.4× 40 0.4× 119 1.3× 49 0.7× 29 520
Raul O. Chao 210 0.9× 108 0.8× 170 1.9× 92 1.0× 97 1.3× 23 472

Countries citing papers authored by Michel Leseure

Since Specialization
Citations

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

Fields of papers citing papers by Michel Leseure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Leseure

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