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Researcher · University of Szczecin · Poland

Paweł Ziemba

Paweł Ziemba publishes mostly in Management Science and Operations Research, Artificial Intelligence and Management Information Systems, on topics such as Multi-Criteria Decision Making, Semantic Web and Ontologies and Information Systems and Technology Applications.

ORCID 0000-0002-4414-8547 OpenAlex
World rank
#243,461
of 7,710,434 ranked researchers
Rank in Poland
#1,518
of 100,960
Works
100
Citations
2.3k
Citations per work
22.7
h-index
25
i10-index 50Top 9.1% in Management Science and Operations Research
Paweł Ziemba

What does Paweł Ziemba research?

Paweł Ziemba's work is mostly in Decision Sciences (18%), Computer Science (14%), Business, Management and Accounting (14%).

Everything else: 47 works · 47.2% of their workSocial Sciences: 38 works · 38.4% of their workDecision Sciences: 18 works · 18.5% of their workManagement Science and Operations Research: 18 works · 18.5% of their workBusiness, Management and Accounting: 14 works · 13.9% of their workManagement Information Systems: 8 works · 7.5% of their workStrategy and Management: 6 works · 6.4% of their workSocial Sciences: 6 works · 6.0% of their workSociology and Political Science: 6 works · 6.0% of their workPhysical Sciences: 14 works · 14.4% of their workComputer Science: 14 works · 14.4% of their workArtificial Intelligence: 9 works · 9.1% of their workInformation Systems: 5 works · 5.3% of their workTHEIR WORKPaweł Ziemba100works
Physical Sciences14%Social Sciences38%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else4747.2%
    1. Decision Sciences1818.5%
    2. Business, Management and Accounting1413.9%
    3. Social Sciences66.0%
    1. Computer Science1414.4%
  1. 1Management Science and Operations Research18% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Management Information Systems8% of their works
  4. 4Strategy and Management6% of their works
  5. 5Sociology and Political Science6% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Paweł Ziemba's research?

The keywords of their largest research topics: Analytic Hierarchy Process, TOPSIS, Enterprise Content Management, Information Management, Ontology, Semantic Web, Electronic Word-of-Mouth and Information Systems.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. Analytic Hierarchy Process361 topic
  2. TOPSIS361 topic
  3. Enterprise Content Management91 topic
  4. Information Management91 topic
  5. Ontology91 topic
  6. Semantic Web91 topic
  7. Electronic Word-of-Mouth81 topic
  8. Information Systems81 topic
  9. Social Media81 topic
  10. Technology Acceptance Model81 topic
  11. Qualitative Research Methods61 topic
  12. Social Sciences61 topic
  13. Classification51 topic
  14. Imbalanced Data51 topic
  15. QoS-Aware Middleware51 topic
  16. Semantic Web Services51 topic

Where does Paweł Ziemba work?

Paweł Ziemba's main affiliation in the publication record is University of Szczecin, Poland.

How many publications and citations does Paweł Ziemba have?

OpenAlex counts 100 works and 2,274 citations for Paweł Ziemba, an h-index of 25, ranking #243,461 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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