Rafael Dean Brown

35 total papers · 533 total citations
13 papers, 293 citations indexed

About

Rafael Dean Brown is a scholar working on Information Systems, General Economics, Econometrics and Finance and Artificial Intelligence. According to data from OpenAlex, Rafael Dean Brown has authored 13 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in General Economics, Econometrics and Finance and 3 papers in Artificial Intelligence. Recurrent topics in Rafael Dean Brown's work include Digital Transformation in Law (3 papers), Ethics and Social Impacts of AI (3 papers) and Blockchain Technology Applications and Security (2 papers). Rafael Dean Brown is often cited by papers focused on Digital Transformation in Law (3 papers), Ethics and Social Impacts of AI (3 papers) and Blockchain Technology Applications and Security (2 papers). Rafael Dean Brown collaborates with scholars based in Qatar, Netherlands and United Kingdom. Rafael Dean Brown's co-authors include Jon Truby, Andrew Dahdal, Imad Antoine Ibrahim, Ning Gao and Konstantinos Stathopoulos and has published in prestigious journals such as Energy Research & Social Science, European Journal of Risk Regulation and International Review of Law Computers & Technology.

In The Last Decade

Rafael Dean Brown

9 papers receiving 269 citations

Author Peers

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

Author Last Decade Papers Cites
Rafael Dean Brown 122 63 59 45 42 13 293
Andrew Dahdal 144 1.2× 87 1.4× 87 1.5× 25 0.6× 17 0.4× 20 273
Cüneyt Dirican 62 0.5× 57 0.9× 56 0.9× 60 1.3× 19 0.5× 8 274
Christian Hugo Hoffmann 89 0.7× 79 1.3× 94 1.6× 25 0.6× 20 0.5× 23 240
Nkechi Emmanuella Eneh 53 0.4× 51 0.8× 28 0.5× 52 1.2× 10 0.2× 15 337
Tolulope Esther Edunjobi 50 0.4× 79 1.3× 47 0.8× 38 0.8× 7 0.2× 9 354
Sarah Kuzankah Ewuga 67 0.5× 69 1.1× 29 0.5× 19 0.4× 11 0.3× 13 339
Maggie C. M. Lee 47 0.4× 68 1.1× 22 0.4× 100 2.2× 16 0.4× 8 302
Patrick Cichy 51 0.4× 27 0.4× 26 0.4× 49 1.1× 17 0.4× 14 319
Ricardo Francisco Reier Forradellas 138 1.1× 49 0.8× 121 2.1× 22 0.5× 5 0.1× 18 361
Rekha Jain 22 0.2× 21 0.3× 28 0.5× 29 0.6× 35 0.8× 18 229

Countries citing papers authored by Rafael Dean Brown

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Dean Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Dean Brown. 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 Rafael Dean Brown. The network helps show where Rafael Dean Brown may publish in the future.

Co-authorship network of co-authors of Rafael Dean Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Dean Brown. A scholar is included among the top collaborators of Rafael Dean Brown 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 Rafael Dean Brown. Rafael Dean Brown 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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