Robert Madelin

5 papers receiving 2.1k citations

Robert Madelin's Hit Papers

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations 2018 · 2.2k citations
2.2k0+2+5Years since publication50010001.5k2.0k

Peers

Robert Madelin
Comparison fields: 5 of 135
  • Health Informatics 429
  • Safety Research 1.0k
  • Computer Science Applications 113
  • Artificial Intelligence 645
  • Cognitive Neuroscience 305
Replace Patrice Chazerand with:
Patrice Chazerand Italy
Peggy Valcke Belgium
Burkhard Schäfer United Kingdom
Patrick Allo Belgium
Christoph Luetge Germany
Eduard Fosch‐Villaronga Netherlands
Angelina McMillan-Major United States
Inioluwa Deborah Raji United States
Michael Veale United Kingdom
Berkeley J. Dietvorst United States
Robert Madelin relative to Patrice Chazerand Italy Patrice Chazerand's profile →
Citations per field
00.5×1.5×
Patrice Chazerand · 1×
Citations per year

Countries citing papers authored by Robert Madelin

Since Specialization
Citations

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

Fields of papers citing papers by Robert Madelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Robert Madelin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Madelin Line = papers co-authored together Robert Madelin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Hit paper breakdown →
20182168
2 202196
3 201946
4 201111
5 20141
6 20091
7 20060
8 20240
9 20180

About Robert Madelin

Robert Madelin is a scholar working on Safety Research, Health Informatics, Cognitive Neuroscience, Artificial Intelligence and Applied Psychology, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Neuroethics, Human Enhancement, Biomedical Innovations (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Health Services Management and Policy (1 paper), Digital Mental Health Interventions (1 paper), Mental Health Research Topics (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Healthcare Systems and Challenges (1 paper). The work is most often cited by research in Health Informatics (429 citations), Safety Research (1.0k citations), Computer Science Applications (113 citations), Artificial Intelligence (645 citations) and Cognitive Neuroscience (305 citations). Robert Madelin has collaborated with scholars based in Belgium, Italy and Netherlands. Frequent co-authors include Ugo Pagallo, Josh Cowls, Patrice Chazerand, Luciano Floridi, Burkhard Schäfer, Peggy Valcke, Christoph Luetge, Effy Vayena, Raja Chatila and Francesca Rossi. Their work appears in journals such as Minds and Machines, Clinical Medicine, Philosophy & Technology, Cyberpsychology Behavior and Social Networking and Global Health Promotion.

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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