John McCarthy

9.0k citations
97 papers · 4.0k indexed · 2 hit papers · h-index 29

John McCarthy

92 papers receiving 3.4k citations

Hit Papers

Revised report on the algorithmic language ALGOL 605621960202619822004200400600

Peers

John McCarthy
Comparison fields: 5 of 198
  • Software 295
  • Hardware and Architecture 521
  • Computational Theory and Mathematics 821
  • Endocrinology, Diabetes and Metabolism 794
  • Artificial Intelligence 1.4k
Replace David K. Gifford with:
David K. Gifford United States
Jan Komorowski Poland
Long Lu United States
Robert Stevens United Kingdom
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John McCarthy relative to David K. Gifford United States David K. Gifford's profile →
Citations per field
00.5×3.0×
David K. Gifford · 1×
Citations per year

Countries citing papers authored by John McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by John McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20057
2
The reluctant city : Milwaukee's fragmented metropolis, 1920-1960
20050
3 19951
4
Mathematical logic in artificial intelligence
198938
5 1989126
6 198816
7 198835
8
PROCEEDINGS OF THE SECOND INTERNATIONAL WORKSHOP ON STATISTICAL DATABASE MANAGEMENT, SEPT. 27-29, 1983, LOS ALTOS, CALIF.
19846
9 19845
10 19836
11
Statistical data management research at Lawrence Berkeley laboratory
19831
12
Computer-independent data compression for large statistical databases
19834
13
Distributed data management in a minicomputer network: the SEEDIS experience
19834
14
Metadata Management for Large Statistical Databases
198254
15 19738
16 197012
17
Definition of new data types in ALGOL x
19644
18
Towards a Mathematical Science of Computation.
1962248
19 19595
20
Automata Studies. (AM-34) (Annals of Mathematics Studies)
19567

About John McCarthy

John McCarthy is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 97 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (21 papers), Hormonal and reproductive studies (17 papers), Pharmacogenetics and Drug Metabolism (12 papers), Logic, programming, and type systems (7 papers), Computability, Logic, AI Algorithms (7 papers), Algorithms and Data Compression (6 papers), Stress Responses and Cortisol (6 papers) and Advanced Database Systems and Queries (6 papers). The work is most often cited by research in Software (295 citations), Hardware and Architecture (521 citations) and Computational Theory and Mathematics (821 citations). John McCarthy has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include J. Ian Mason, A. van Wijngaarden, Friedrich L. Bauer, M. X. Zarrow, Heinz Rutishauser, Alan J. Perlis, Chaim Katz, Bernard Vauquois, John Backus and M. Woodger. Their work appears in journals such as Experimental Biology and Medicine, Communications of the ACM, Social Science History, Endocrinology and AI Magazine.

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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