Ewa Rak

508 citations
30 papers · 392 · h-index 12

Impact in

Papers in

Ewa Rak

26 papers receiving 381 citations

Peers

Ewa Rak
Comparison fields: 5 of 54
  • Management Science and Operations Research 310
  • Computational Theory and Mathematics 250
  • Statistics and Probability 67
  • Artificial Intelligence 69
  • Applied Mathematics 19
Replace Jaume Suñer with:
Jaume Suñer Spain
Pedro Miranda Spain
Andrea Mesiarová‐Zemánková Slovakia
Andrey G. Bronevich Russia
Maurice Frank Guatemala
Peter Sarkoci Austria
Lingqiang Li China
Hashem Bordbar Slovenia
Yu-Ru Syau Taiwan
Andrea Stupňanová Slovakia
Ewa Rak relative to Jaume Suñer Spain Jaume Suñer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ewa Rak

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Rak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ewa Rak, 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 Ewa Rak Line = papers co-authored together Ewa Rak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200795
2 201551
3 201534
4 202028
5 202028
6 201723
7 201319
8 200917
9 202416
10 202013
11 201913
12 201711
13 201110
14 20148
15 20174
16 20154
17 20203
18 20232
19 20202
20 20202

About Ewa Rak

Ewa Rak is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 392 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Advanced Algebra and Logic (10 papers), Fuzzy and Soft Set Theory (10 papers), Fuzzy Logic and Control Systems (4 papers), Rough Sets and Fuzzy Logic (4 papers), Optimization and Variational Analysis (3 papers), Fuzzy Systems and Optimization (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (310 citations), Computational Theory and Mathematics (250 citations), Statistics and Probability (67 citations), Artificial Intelligence (69 citations) and Applied Mathematics (19 citations). Ewa Rak has collaborated with scholars based in Poland, Pakistan and Algeria. Frequent co-authors include Paweł Drygaś, Józef Drewniak, Naeem Jan, Tahir Mahmood, Rafał Rak, Feng Qin, Zeeshan Ali, Jan G. Bazan, Kifayat Ullah and Włodzimierz Fechner. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Fuzzy Systems, Scientific Reports, International Journal of Applied Mathematics and Computer Science and Complex & Intelligent 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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