George Gargov

3.4k citations
6 papers · 2.5k indexed · 1 hit paper · h-index 5
Topics
Logic, Reasoning, and Knowledge (4 papers)Multi-Criteria Decision Making (3 papers)Advanced Algebra and Logic (3 papers)
Partner nations
BulgariaUnited States

In The Last Decade

George Gargov

6 papers receiving 2.3k citations

Hit Papers

Interval valued intuitionistic fuzzy sets1989202620012013198950010001.5k2.0k

Peers

George Gargov
Comparison fields: 5 of 77
  • Management Science and Operations Research 2.2k
  • Control and Systems Engineering 1.0k
  • Statistics and Probability 909
  • Artificial Intelligence 761
  • Computational Theory and Mathematics 574
Replace Yasuo Narukawa with:
Yasuo Narukawa Spain
Dug Hun Hong South Korea
P. Burillo Spain
Miguel Delgado Spain
Kamal Kumar India
Zhou-Jing Wang China
Chunqiao Tan China
Na Chen China
Eulalia Szmidt Poland
George Gargov relative to Yasuo Narukawa Spain Yasuo Narukawa's profile →
Citations per field
00.5×1.7×
Yasuo Narukawa · 1×
Citations per year

Countries citing papers authored by George Gargov

Since Specialization
Citations

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

Fields of papers citing papers by George Gargov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Gargov

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 26
2 84
3 2
4 88
5
Interval valued intuitionistic fuzzy setsbreakdown →
2244
6 12

About George Gargov

George Gargov is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 6 papers that have together received 2.5k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (4 papers), Multi-Criteria Decision Making (3 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Management Science and Operations Research (2.2k citations), Statistics and Probability (909 citations) and Control and Systems Engineering (1.0k citations). George Gargov has collaborated with scholars based in Bulgaria and United States. Frequent co-authors include Krassimir Atanassov, Valentin Goranko and Solomon Passy. Their work appears in journals such as Fuzzy Sets and Systems, Theoretical Computer Science and Journal of Philosophical Logic.

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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