Paweł Ziemba

2.2k citations
62 papers · 1.4k indexed · 1 hit paper · h-index 18

Paweł Ziemba

57 papers receiving 1.4k citations

Hit Papers

Generalised framework for multi-criteria method selection3552018202620202023100200300

Peers

Paweł Ziemba
Comparison fields: 5 of 118
  • Management Science and Operations Research 626
  • General Energy 48
  • Strategy and Management 198
  • Management of Technology and Innovation 85
  • Management, Monitoring, Policy and Law 141
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Tolga Kaya Türkiye
Аlvydas Baležentis Lithuania
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Miłosz Kadziński Poland
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Citations per year

Countries citing papers authored by Paweł Ziemba

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Ziemba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Paweł Ziemba, 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 Paweł Ziemba Line = papers co-authored together Paweł Ziemba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20252
4 20239
5 20236
6 20235
7 202216
8 20222
9 202112
10 20207
11 201958
12 201871
13 201774
14
Selekcja kryteriów oceny jakości serwisów internetowych z wykorzystaniem pojemności informacyjnej Hellwiga
20121
15
Procedure of Reducing Website Assessment Criteria and User Preference Analyses
20111
16
Feature Selection Methods in Data Mining Techniques
20111
17
Wspomaganie decyzji w doborze rozwiązań systemowych w kształceniu na odległość
20111
18
Wybrane metody analizy wielokryterialnej w ocenie użyteczności serwisów internetowych
20111
19
Dobór platformy e-learningowej za pomocą metody Promethee GDSS
20101
20
Metody analizy wielokryterialnej we wspomaganiu porównania produktów w Internecie
20082

About Paweł Ziemba

Paweł Ziemba is a scholar working on General Energy, Management Science and Operations Research and Management Information Systems, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (27 papers), Sustainable Supply Chain Management (5 papers), Electric Vehicles and Infrastructure (4 papers), Imbalanced Data Classification Techniques (4 papers), Semantic Web and Ontologies (4 papers), Information Systems and Technology Applications (4 papers), Data Mining Algorithms and Applications (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Management Science and Operations Research (626 citations), General Energy (48 citations) and Strategy and Management (198 citations). Paweł Ziemba has collaborated with scholars based in Poland and India. Frequent co-authors include Jarosław Wątróbski, Magdalena Zioło, Jarosław Jankowski, Artur Karczmarczyk, Jarosław Becker, Aleksandra Radomska-Zalas, Mateusz Piwowarski, Przemysław Kazienko, Kesra Nermend and Samarjit Kar. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

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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