Mario Cervantes

27 total papers · 482 total citations
14 papers, 211 citations indexed

About

Mario Cervantes is a scholar working on Management of Technology and Innovation, Political Science and International Relations and Strategy and Management. According to data from OpenAlex, Mario Cervantes has authored 14 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management of Technology and Innovation, 4 papers in Political Science and International Relations and 3 papers in Strategy and Management. Recurrent topics in Mario Cervantes's work include University-Industry-Government Innovation Models (6 papers), Regional Development and Policy (4 papers) and Innovation Policy and R&D (2 papers). Mario Cervantes is often cited by papers focused on University-Industry-Government Innovation Models (6 papers), Regional Development and Policy (4 papers) and Innovation Policy and R&D (2 papers). Mario Cervantes collaborates with scholars based in France, United States and Mexico. Mario Cervantes's co-authors include Dirk Meissner, Raquel Ortega Argilés, Philip McCann, Luisa Sánchez Brea, Wolfgang Polt, Giulia Ajmone Marsan, Jan Kratzer, Konstantin Vishnevskiy, Sylvia Schwaag Serger and Леонид Гохберг and has published in prestigious journals such as The Journal of Technology Transfer, International Journal of Technology Management and Foresight-Russia.

In The Last Decade

Mario Cervantes

11 papers receiving 191 citations

Author Peers

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

Author Last Decade Papers Cites
Mario Cervantes 93 88 85 61 25 14 211
Wolfgang Polt 125 1.3× 108 1.2× 73 0.9× 118 1.9× 25 1.0× 13 280
Maria Lúcia Maciel 50 0.5× 51 0.6× 44 0.5× 78 1.3× 30 1.2× 19 243
Maria Thompson 77 0.8× 100 1.1× 35 0.4× 48 0.8× 9 0.4× 11 224
Svend Otto Remøe 81 0.9× 143 1.6× 95 1.1× 105 1.7× 4 0.2× 15 270
Alexander Kleibrink 49 0.5× 53 0.6× 124 1.5× 25 0.4× 11 0.4× 19 189
Marie O’Connor 137 1.5× 126 1.4× 12 0.1× 63 1.0× 31 1.2× 12 269
Fernando Callorda 21 0.2× 121 1.4× 23 0.3× 45 0.7× 40 1.6× 12 240
Jean-Alain Héraud 50 0.5× 69 0.8× 73 0.9× 44 0.7× 3 0.1× 22 182
Andrea Pozzali 94 1.0× 57 0.6× 31 0.4× 124 2.0× 10 0.4× 18 220
Nicola Grassano 40 0.4× 115 1.3× 26 0.3× 62 1.0× 16 0.6× 18 228

Countries citing papers authored by Mario Cervantes

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cervantes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Cervantes

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