Sándor Jenei

48 papers receiving 988 citations

Peers

Sándor Jenei
Comparison fields: 5 of 56
  • Computational Theory and Mathematics 839
  • Management Science and Operations Research 595
  • Artificial Intelligence 516
  • Statistics and Probability 120
  • Algebra and Number Theory 44
Replace M. Mas with:
M. Mas Spain
M. Monserrat Spain
Mustafa Demirci Türkiye
Mai Gehrke United States
Irina Cristea Slovenia
Andrea Mesiarová‐Zemánková Slovakia
Richard H. Warren United States
Juan C. Candeal Spain
Werner Kuich Austria
Seok-Zun Song South Korea
Sándor Jenei relative to M. Mas Spain M. Mas's profile →
Citations per field
00.5×1.7×
M. Mas · 1×
Citations per year

Countries citing papers authored by Sándor Jenei

Since Specialization
Citations

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

Fields of papers citing papers by Sándor Jenei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sándor Jenei

This figure shows the co-authorship network connecting the top 25 collaborators of Sándor Jenei. A scholar is included among the top collaborators of Sándor Jenei 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 Sándor Jenei. Sándor Jenei 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
#WorkIndexed citations
1 0
2 6
3 2
4
The Effect of VoIP Payload Size on Upload Delay Values in HSPA and HSPA+ Mobile Networks
0
5 6
6
Equality algebras
1
7
A Generalization of Stochastic and Fuzzy Transitivity for Reciprocal Fuzzy Relations
0
8 7
9
Recent Advances in the Field of Left-continuous t-norms.
1
10 10
11 28
12 10
13 49
14 62
15 35
16 15
17 20
18 1
19 25
20 5

About Sándor Jenei

Sándor Jenei is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Mathematical Physics, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Algebra and Logic (34 papers), Rough Sets and Fuzzy Logic (19 papers) and Logic, Reasoning, and Knowledge (14 papers). The work is most often cited by research in Computational Theory and Mathematics (839 citations), Management Science and Operations Research (595 citations) and Artificial Intelligence (516 citations). Sándor Jenei has collaborated with scholars based in Hungary, Austria and Italy. Frequent co-authors include Franco Montagna, Bernard De Baets, János Fodor, H. De Meyer, Bart De Schuymer, Siegfried Gottwald, Erich Peter Klement, F. Montagna, Hiroakira Ono and Endre Pap. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems and Soft Computing.

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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