Stephen Casper

869 citations
47 papers · 285 · 1 hit paper · h-index 10

Impact in

Papers in

    • Neurology and Historical Studies 18
    • History of Medical Practice 10
    • Historical Psychiatry and Medical Practices 14

Stephen Casper

36 papers receiving 268 citations

Stephen Casper's Hit Papers

Rethinking machine unlearning for large language models 2025 · 26 citations
260Years since publication510152025

Peers

Stephen Casper
Comparison fields: 5 of 93
  • Health Informatics 11
  • General Psychology 10
  • Neurology 48
  • History 35
  • Neurology 35
Replace Tobias Haeusermann with:
Tobias Haeusermann United States
Nour Shaheen Egypt
Philip AbdelMalik Canada
William Paul United States
Ana Mlinarić Croatia
Nadiah A. Baghdadi Saudi Arabia
Ahmed Shaheen Egypt
Daniele M. S. Barros Brazil
Marko Ćurković Croatia
Bethany Snyder United States
Stephen Casper relative to Tobias Haeusermann United States Tobias Haeusermann's profile →
Citations per field
00.5×10×15×17.5×
Tobias Haeusermann · 1×
Citations per year

Countries citing papers authored by Stephen Casper

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Casper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Casper, 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 Stephen Casper Line = papers co-authored together Stephen Casper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202352
2 201031
3
Rethinking machine unlearning for large language models
Hit paper breakdown →
202526
4 201821
5 202418
6 202113
7 201413
8 201911
9 20089
10
The neurologists: A history of a medical specialty in modern Britain, c.1789–2000
20149
11 20138
12 20088
13 20128
14 20156
15 20105
16 20174
17 20244
18 20214
19 20154
20 20213

About Stephen Casper

Stephen Casper is a scholar working on Neurology, Clinical Psychology, History, Neurology and History and Philosophy of Science, having authored 47 papers that have together received 285 indexed citations. Recurring topics across this work include Neurology and Historical Studies (18 papers), Historical Psychiatry and Medical Practices (14 papers), History of Medical Practice (10 papers), History of Medicine Studies (6 papers), History of Science and Medicine (6 papers), Medical History and Innovations (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Traumatic Brain Injury Research (3 papers). The work is most often cited by research in Health Informatics (11 citations), General Psychology (10 citations), Neurology (48 citations), History (35 citations) and Neurology (35 citations). Stephen Casper has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Dylan Hadfield-Menell, Anson Ho, L. S. Jacyna, Yang Liu, Peter Slattery, Hang Li, Kush R. Varshney, Neil Thompson, Alexander K. Saeri and Sijia Liu. Their work appears in journals such as Journal of the History of Medicine and Allied Sciences, Isis, Medical History, Canadian Medical Association Journal and The Journal of Law Medicine & Ethics.

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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