József Mezei

56 papers receiving 1.1k citations

Hit Papers

When do AI chatbots lead to higher customer satisfaction ...202220262023202420224080120

Peers

József Mezei
Comparison fields: 5 of 115
  • Artificial Intelligence 375
  • Management Science and Operations Research 282
  • Sociology and Political Science 263
  • Management Information Systems 140
  • Strategy and Management 127
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Countries citing papers authored by József Mezei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of József Mezei

This figure shows the co-authorship network connecting the top 25 collaborators of József Mezei. A scholar is included among the top collaborators of József Mezei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with József Mezei. József Mezei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute typebreakdown →
128
5 19
6 11
7 1
8 9
9 24
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Fuzzy optimization to improve mobile wellness applications for young-elderly
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11 9
12 46
13 79
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On possibilistic correlation coefficient and ratio for fuzzy numbers
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15
Factors influencing the adoption of mobile services consumers' preferences using analytic hierarchy process
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17 10
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A quantitative view on fuzzy numbers
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Knowledge Mobilisation for Knowledge Whenever and Wherever Needed
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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) and Optimization and Mathematical Programming (8 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.

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