Peter Sussner

77 papers receiving 1.6k citations

Peers

Peter Sussner
Comparison fields: 5 of 87
  • Artificial Intelligence 1.1k
  • Management Science and Operations Research 328
  • Computational Theory and Mathematics 412
  • Computer Vision and Pattern Recognition 421
  • Media Technology 160
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Martin Anthony United Kingdom
Karthik Sridharan United States
Lorenzo Livi Italy
Marie-Hélène Masson France
Frank Chung-Hoon Rhee South Korea
Athanasios Kehagias Greece
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Lin Xiao United States
Edward Snelson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter Sussner

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sussner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998193
2 1996119
3 2016119
4 199987
5 200672
6 201067
7 200663
8 201255
9 200754
10 201651
11 200843
12 200039
13 201038
14 201138
15 200235
16 201032
17 200328
18 200325
19 201525
20 200023

About Peter Sussner

Peter Sussner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (46 papers), Fuzzy Logic and Control Systems (34 papers), Rough Sets and Fuzzy Logic (22 papers), Multi-Criteria Decision Making (16 papers), Advanced Memory and Neural Computing (12 papers), Image Retrieval and Classification Techniques (11 papers), Advanced Algebra and Logic (10 papers) and Neural Networks Stability and Synchronization (8 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Management Science and Operations Research (328 citations), Computational Theory and Mathematics (412 citations), Computer Vision and Pattern Recognition (421 citations) and Media Technology (160 citations). Peter Sussner has collaborated with scholars based in Brazil, United States and Belgium. Frequent co-authors include Gerhard X. Ritter, Marcos Eduardo Valle, Estevão Esmi, Mohammad Reza Rajati, Jerry M. Mendel, Mike Nachtegael, Laécio Carvalho de Barros, Etienne E. Kerre, Manuel Graña and Daniel Paternain. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Journal of Mathematical Imaging and Vision, Neural Networks and IEEE Transactions on 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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