Chris Stokel-Walker

2.8k citations
83 papers · 1.7k · 3 hit papers · h-index 11

Impact in

Papers in

Chris Stokel-Walker

65 papers receiving 1.7k citations

Chris Stokel-Walker's Hit Papers

What ChatGPT and generative AI mean for science 2023 · 489 citations
4890+1+2Years since publication100200300400500

Peers

Chris Stokel-Walker
Comparison fields: 5 of 139
  • Health Informatics 929
  • Computer Science Applications 143
  • Safety Research 194
  • Family Practice 34
  • Artificial Intelligence 528
Replace Alex John London with:
Alex John London United States
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Michael Agyemang Adarkwah China
W. Nicholson Price United States
Julia Amann Switzerland
Timo Minssen Denmark
Artur Strzelecki Poland
Thu‐Trang Vuong Vietnam
Sara Gerke United States
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Citations per field
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Citations per year

Countries citing papers authored by Chris Stokel-Walker

Since Specialization
Citations

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

Fields of papers citing papers by Chris Stokel-Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Stokel-Walker. 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 Chris Stokel-Walker. The network helps show where Chris Stokel-Walker may publish in the future.

Co-authors

The 2 scholars most cited alongside Chris Stokel-Walker, 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 Chris Stokel-Walker Line = papers co-authored together Chris Stokel-Walker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ChatGPT listed as author on research papers: many scientists disapprove
Hit paper breakdown →
2023540
2
What ChatGPT and generative AI mean for science
Hit paper breakdown →
2023489
3
AI bot ChatGPT writes smart essays — should professors worry?
Hit paper breakdown →
2022358
4 202141
5 202235
6 202025
7 202123
8 202222
9 202015
10 202312
11 202211
12 20209
13 20229
14 20228
15
The Revolution Will Be Tweeted
20118
16 20238
17 20228
18 20216
19 20244
20 20224

About Chris Stokel-Walker

Chris Stokel-Walker is a scholar working on Sociology and Political Science, Artificial Intelligence, Infectious Diseases, General Health Professions and Information Systems, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (9 papers), Misinformation and Its Impacts (6 papers), COVID-19 Clinical Research Studies (5 papers), Social Media in Health Education (5 papers), COVID-19 diagnosis using AI (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Hate Speech and Cyberbullying Detection (4 papers) and Healthcare Systems and Challenges (4 papers). The work is most often cited by research in Health Informatics (929 citations), Computer Science Applications (143 citations), Safety Research (194 citations), Family Practice (34 citations) and Artificial Intelligence (528 citations). Chris Stokel-Walker has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Richard Van Noorden and Elisabeth Mahase. Their work appears in journals such as BMJ, Nature, Scientific American and The New Scientist.

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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