Lambèr Royakkers

114 total papers · 2.1k total citations
49 papers, 1.1k citations indexed

About

Lambèr Royakkers is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Lambèr Royakkers has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 8 papers in Information Systems and Management. Recurrent topics in Lambèr Royakkers's work include Logic, Reasoning, and Knowledge (10 papers), Multi-Agent Systems and Negotiation (9 papers) and Ethics and Social Impacts of AI (8 papers). Lambèr Royakkers is often cited by papers focused on Logic, Reasoning, and Knowledge (10 papers), Multi-Agent Systems and Negotiation (9 papers) and Ethics and Social Impacts of AI (8 papers). Lambèr Royakkers collaborates with scholars based in Netherlands, United States and Norway. Lambèr Royakkers's co-authors include Rinie van Est, Ibo van de Poel, Rob Raven, Sjoerd D. Zwart, Frank Dignum, Neelke Doorn, Jessica Nihlén Fahlquist, Davide Grossi, Kees Dorst and Mehdi Dastani and has published in prestigious journals such as Journal of Business Ethics, Design Studies and Technology Analysis and Strategic Management.

In The Last Decade

Lambèr Royakkers

45 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Lambèr Royakkers 269 239 215 183 109 49 1.1k
Steven Umbrello 162 0.6× 296 1.2× 126 0.6× 207 1.1× 81 0.7× 55 1.1k
Henrik Skaug Sætra 224 0.8× 421 1.8× 232 1.1× 185 1.0× 101 0.9× 61 1.1k
Peter Kroes 193 0.7× 77 0.3× 92 0.4× 214 1.2× 61 0.6× 47 1.1k
David G. Hendry 351 1.3× 226 0.9× 136 0.6× 142 0.8× 245 2.2× 38 1.3k
Mark Ryan 140 0.5× 456 1.9× 289 1.3× 180 1.0× 116 1.1× 29 1.2k
Daniel B. Shank 392 1.5× 289 1.2× 239 1.1× 244 1.3× 65 0.6× 50 1.1k
Ben Green 237 0.9× 401 1.7× 316 1.5× 96 0.5× 148 1.4× 64 1.4k
Hamid R. Ekbia 374 1.4× 129 0.5× 76 0.4× 37 0.2× 117 1.1× 49 1.0k
Adrian Mackenzie 329 1.2× 137 0.6× 53 0.2× 61 0.3× 106 1.0× 53 1.0k
William M. Goldstein 206 0.8× 174 0.7× 196 0.9× 161 0.9× 25 0.2× 19 1.2k

Countries citing papers authored by Lambèr Royakkers

Since Specialization
Citations

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

Fields of papers citing papers by Lambèr Royakkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lambèr Royakkers

This figure shows the co-authorship network connecting the top 25 collaborators of Lambèr Royakkers. A scholar is included among the top collaborators of Lambèr Royakkers 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 Lambèr Royakkers. Lambèr Royakkers 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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2026