Mark Burgin

153 papers receiving 825 citations

Peers

Mark Burgin
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 361
  • Statistics and Probability 105
  • Artificial Intelligence 322
  • History and Philosophy of Science 44
  • Cognitive Neuroscience 152
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Francis Edward Su United States
Robert M. Fano United States
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Citations per year

Countries citing papers authored by Mark Burgin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Burgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200987
2 200984
3 200032
4 200130
5 200325
6 201623
7 199521
8 201519
9 200315
10 200515
11 201215
12 201713
13 200712
14 201912
15 201112
16
INFORMATION IN THE STRUCTURE OF THE WORLD
201112
17 201711
18 201711
19
Information and Computation – Omnipresent and Pervasive
201110
20 201710

About Mark Burgin

Mark Burgin is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistics and Probability, Computer Networks and Communications and Information Systems, having authored 177 papers that have together received 950 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (63 papers), Cognitive Computing and Networks (16 papers), Cellular Automata and Applications (13 papers), Benford’s Law and Fraud Detection (13 papers), semigroups and automata theory (12 papers), Cognitive Science and Education Research (10 papers), Evolutionary Algorithms and Applications (10 papers) and Multi-Criteria Decision Making (8 papers). The work is most often cited by research in Computational Theory and Mathematics (361 citations), Statistics and Probability (105 citations), Artificial Intelligence (322 citations), History and Philosophy of Science (44 citations) and Cognitive Neuroscience (152 citations). Mark Burgin has collaborated with scholars based in United States, Sweden and Türkiye. Frequent co-authors include Gordana Dodig-Crnković, Eugene Eberbach, Rao Mikkilineni, Wolfgang Hofkirchner, Narayan C. Debnath, Marek Czachor, Rainer Feistel, Jaime F. Cárdenas‐García, Oktay Duman and Joseph E. Brenner. Their work appears in journals such as Fuzzy Sets and Systems, Theoretical Computer Science, tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Journal of Intelligent & Fuzzy Systems.

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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