Daniël Reijsbergen

72 total papers · 583 total citations
22 papers, 190 citations indexed

About

Daniël Reijsbergen is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Daniël Reijsbergen has authored 22 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Artificial Intelligence and 6 papers in Software. Recurrent topics in Daniël Reijsbergen's work include Blockchain Technology Applications and Security (10 papers), Software Reliability and Analysis Research (6 papers) and Formal Methods in Verification (5 papers). Daniël Reijsbergen is often cited by papers focused on Blockchain Technology Applications and Security (10 papers), Software Reliability and Analysis Research (6 papers) and Formal Methods in Verification (5 papers). Daniël Reijsbergen collaborates with scholars based in Singapore, United Kingdom and Netherlands. Daniël Reijsbergen's co-authors include Georgios Piliouras, Pieter-Tjerk de Boer, Werner Scheinhardt, Vitalik Buterin, Paweł Szałachowski, Boudewijn R. Haverkort, Jane Hillston, Kiat Seng Yeo, Stephen Gilmore and Cheng Feng and has published in prestigious journals such as IEEE Access, IEEE Transactions on Network and Service Management and Performance Evaluation.

In The Last Decade

Daniël Reijsbergen

20 papers receiving 182 citations

Author Peers

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

Author Last Decade Papers Cites
Daniël Reijsbergen 116 68 41 28 24 22 190
David Issa Mattos 53 0.5× 27 0.4× 42 1.0× 8 0.3× 11 0.5× 20 132
Richard M. Adler 101 0.9× 104 1.5× 78 1.9× 12 0.4× 21 0.9× 15 214
Léonardo Brenner 36 0.3× 85 1.3× 47 1.1× 87 3.1× 27 1.1× 27 214
Rosario Culmone 50 0.4× 93 1.4× 74 1.8× 21 0.8× 19 0.8× 30 203
N. L. Sarda 101 0.9× 116 1.7× 89 2.2× 41 1.5× 10 0.4× 24 231
Tanel Tammet 65 0.6× 53 0.8× 115 2.8× 63 2.3× 6 0.3× 35 202
Laura Semini 62 0.5× 35 0.5× 79 1.9× 25 0.9× 24 1.0× 29 136
Corrado Moiso 70 0.6× 99 1.5× 53 1.3× 8 0.3× 4 0.2× 29 200
Marc Solé 73 0.6× 100 1.5× 107 2.6× 11 0.4× 12 0.5× 31 225
Matteo Camilli 76 0.7× 118 1.7× 98 2.4× 59 2.1× 74 3.1× 38 224

Countries citing papers authored by Daniël Reijsbergen

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Reijsbergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniël Reijsbergen

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