Victor Raskin

178 total papers · 5.7k total citations
100 papers, 2.8k citations indexed

About

Victor Raskin is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Victor Raskin has authored 100 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 20 papers in Social Psychology and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Victor Raskin's work include Natural Language Processing Techniques (32 papers), Semantic Web and Ontologies (31 papers) and Topic Modeling (20 papers). Victor Raskin is often cited by papers focused on Natural Language Processing Techniques (32 papers), Semantic Web and Ontologies (31 papers) and Topic Modeling (20 papers). Victor Raskin collaborates with scholars based in United States, Canada and Japan. Victor Raskin's co-authors include Salvatore Attardo, Julia M. Taylor, Sergei Nirenburg, Christian F. Hempelmann, Katrina E. Triezenberg, Karthik Ramani, Zhanjun Li, Mikhail J. Atallah, Willibald Ruch and Giselinde Kuipers and has published in prestigious journals such as Language, Cognitive Science and Journal of Pragmatics.

In The Last Decade

Victor Raskin

96 papers receiving 2.3k citations

Hit Papers

Semantic Mechanisms of Humor 1979 2026 1994 2010 1979 1991 1984 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Victor Raskin 1.4k 1.1k 729 670 413 100 2.8k
Rand J. Spiro 618 0.4× 1.2k 1.1× 816 1.1× 226 0.3× 292 0.7× 59 5.0k
John B. Black 615 0.4× 1.2k 1.1× 815 1.1× 252 0.4× 260 0.6× 98 4.1k
John Bateman 122 0.1× 721 0.7× 765 1.0× 891 1.3× 659 1.6× 146 2.5k
Gilles Fauconnier 567 0.4× 2.9k 2.7× 512 0.7× 721 1.1× 1.8k 4.3× 53 4.3k
Graéme Ritchie 460 0.3× 523 0.5× 1.1k 1.6× 155 0.2× 124 0.3× 74 1.9k
Anthony J. Sanford 622 0.4× 1.9k 1.7× 959 1.3× 224 0.3× 868 2.1× 114 4.7k
Mitchell J. Nathan 525 0.4× 1.2k 1.1× 717 1.0× 73 0.1× 185 0.4× 126 5.5k
Shawn M. Glynn 534 0.4× 744 0.7× 183 0.3× 130 0.2× 112 0.3× 77 3.1k
Rupert Wegerif 248 0.2× 348 0.3× 178 0.2× 468 0.7× 623 1.5× 117 4.5k
Richard Riding 1.1k 0.8× 1.2k 1.1× 255 0.3× 65 0.1× 113 0.3× 105 4.4k

Countries citing papers authored by Victor Raskin

Since Specialization
Citations

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

Fields of papers citing papers by Victor Raskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Raskin

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

All Works

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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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