Gabriel Segal

2.7k total citations
36 papers, 890 citations indexed

About

Gabriel Segal is a scholar working on Experimental and Cognitive Psychology, Philosophy and Cognitive Neuroscience. According to data from OpenAlex, Gabriel Segal has authored 36 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Experimental and Cognitive Psychology, 8 papers in Philosophy and 5 papers in Cognitive Neuroscience. Recurrent topics in Gabriel Segal's work include Philosophy and Theoretical Science (10 papers), Logic, Reasoning, and Knowledge (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Gabriel Segal is often cited by papers focused on Philosophy and Theoretical Science (10 papers), Logic, Reasoning, and Knowledge (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). Gabriel Segal collaborates with scholars based in United Kingdom, United States and Mexico. Gabriel Segal's co-authors include Richard Κ. Larson, Zoltán Szabó, Richard C. Larson, Daniel Rothschild, Elliott Sober, James Higginbotham, Mark Textor, Nick Heather, Ned Block and Margaret Speas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Behavioural Brain Research and The Philosophical Review.

In The Last Decade

Gabriel Segal

32 papers receiving 728 citations

Peers

Gabriel Segal
Comparison fields: 5 of 69
  • Experimental and Cognitive Psychology 516
  • Philosophy 331
  • Language and Linguistics 303
  • Artificial Intelligence 227
  • History and Philosophy of Science 155
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Citations per field, relative to Gabriel Segal
Gabriel Segal · 1×
Citations per year, relative to Gabriel Segal
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Countries citing papers authored by Gabriel Segal

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Segal

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Segal. A scholar is included among the top collaborators of Gabriel Segal 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 Gabriel Segal. Gabriel Segal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 5
3 0
4 41
5
The Innate Mind: Foundations and the Future
55
6
Verdad y significado
1
7 1
8 93
9
Philosophy 2: Further Through the Subject
7
10
The philosophy of psychology
1
11
Commentary on "Encoding of Meaning"
1
12 1
13
The Segal Discussion
1
14 3
15
Frege's puzzle as some problems in science: 2140
4
16 18
17 37
18 5
19 40
20 22

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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