Ewa Rak

493 citations
25 papers · 349 · h-index 12

Impact in

Papers in

Ewa Rak

21 papers receiving 335 citations

Peers

Ewa Rak
Comparison fields: 5 of 53
  • Management Science and Operations Research 280
  • Computational Theory and Mathematics 221
  • Statistics and Probability 61
  • Artificial Intelligence 61
  • Applied Mathematics 17
Replace Peter Sarkoci with:
Peter Sarkoci Austria
Pedro Miranda Spain
Ashraf Al-Quran Saudi Arabia
Andrea Mesiarová‐Zemánková Slovakia
Anestis G. Hatzimichailidis Greece
Andrea Stupňanová Slovakia
Jaume Suñer Spain
Necip Şi̇mşek Türkiye
Jaume Casasnovas Spain
Xiao Long Xin China
Ewa Rak relative to Peter Sarkoci Austria Peter Sarkoci'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 13 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200783
2 201549
3 201534
4 202027
5 202024
6 201723
7 201319
8 200915
9 202414
10 201913
11 201711
12 202011
13 20119
14 20174
15 20153
16 20232
17 20202
18 20202
19 20202
20 20231

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 25 papers that have together received 349 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (13 papers), Advanced Algebra and Logic (8 papers), Fuzzy and Soft Set Theory (8 papers), Fuzzy Logic and Control Systems (4 papers), Rough Sets and Fuzzy Logic (4 papers), Optimization and Variational Analysis (3 papers), Functional Equations Stability Results (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (280 citations), Computational Theory and Mathematics (221 citations), Statistics and Probability (61 citations), Artificial Intelligence (61 citations) and Applied Mathematics (17 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, Feng Qin, Rafał Rak, Jan G. Bazan, Zeeshan Ali, Kifayat Ullah and Włodzimierz Fechner. Their work appears in journals such as Fuzzy Sets and Systems, Complex & Intelligent Systems, International Journal of Fuzzy Systems, International Journal of Applied Mathematics and Computer Science and Entropy.

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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