József Mezei
-
- Multi-Criteria Decision Making 17
-
- Technology Adoption and User Behaviour 5
- Artificial Intelligence top 5%
- Fuzzy Logic and Control Systems 6
- Semantic Web and Ontologies 6
- Marketing top 10%
-
- Fuzzy Systems and Optimization 12
-
- Optimization and Mathematical Programming 8
-
- Qualitative Comparative Analysis Research 7
-
- Rough Sets and Fuzzy Logic 7
- Co-authors
- Shahrokh NikouChrister CarlssonMatteo BrunelliLiu YongHongxiu LiVassilis KostakosMarkku HeikkiläEnrique Herrera‐Viedma
- Cited by
- Management Science and Operations ResearchInformation Systems and ManagementManagement Information Systems
In The Last Decade
József Mezei
56 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Management Science and Operations Research 282
- Information Systems and Management 120
- Management Information Systems 140
- Artificial Intelligence 375
- Marketing 104
Countries citing papers authored by József Mezei
This map shows the geographic impact of József Mezei'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 József Mezei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József Mezei more than expected).
Fields of papers citing papers by József Mezei
This network shows the impact of papers produced by József Mezei. 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 József Mezei. The network helps show where József Mezei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside József Mezei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute typebreakdown → | 2022 | 128 |
| 5 | 2022 | 19 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 24 | |
| 10 | Fuzzy optimization to improve mobile wellness applications for young-elderly | 2015 | 3 |
| 11 | 2015 | 9 | |
| 12 | 2015 | 46 | |
| 13 | 2013 | 79 | |
| 14 | On possibilistic correlation coefficient and ratio for fuzzy numbers | 2011 | 1 |
| 15 | Factors influencing the adoption of mobile services consumers' preferences using analytic hierarchy process | 2011 | 5 |
| 16 | 2011 | 3 | |
| 17 | 2011 | 10 | |
| 18 | 2011 | 3 | |
| 19 | A quantitative view on fuzzy numbers | 2011 | 2 |
| 20 | Knowledge Mobilisation for Knowledge Whenever and Wherever Needed | 2010 | 1 |
About József Mezei
József Mezei is a scholar working on Management Science and Operations Research, Statistics and Probability and Information Systems and Management, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Fuzzy Systems and Optimization (12 papers), Optimization and Mathematical Programming (8 papers), Qualitative Comparative Analysis Research (7 papers), Rough Sets and Fuzzy Logic (7 papers), Fuzzy Logic and Control Systems (6 papers), Semantic Web and Ontologies (6 papers) and Technology Adoption and User Behaviour (5 papers). The work is most often cited by research in Management Science and Operations Research (282 citations), Information Systems and Management (120 citations) and Management Information Systems (140 citations). József Mezei has collaborated with scholars based in Finland, Hungary and Spain. Frequent co-authors include Shahrokh Nikou, Christer Carlsson, Matteo Brunelli, Liu Yong, Hongxiu Li, Vassilis Kostakos, Markku Heikkilä, Enrique Herrera‐Viedma, Juan Antonio Morente-Molinera and Peter Sarlin. Their work appears in journals such as Expert Systems with Applications, Journal of the Operational Research Society and IEEE Transactions on Fuzzy 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.