Simon James
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 1%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 45
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- Neural Networks and Applications 8
- Semantic Web and Ontologies 7
- Co-authors
- Gleb Beliakov (44 shared papers)Junyi Chai (5 shared papers)Eric W.T. Ngai (2 shared papers)Meng Wang (1 shared paper)Tomasa Calvo (8 shared papers)Ronald R. Yager (2 shared papers)Raymond Lee (14 shared papers)Jian‐Zhang Wu (3 shared papers)
In The Last Decade
Simon James
118 papers receiving 2.3k citations
Simon James's Hit Papers
Peers
Comparison fields: 5 of 138
- Management Science and Operations Research 1.3k
- Statistics and Probability 421
- Management Information Systems 303
- Strategy and Management 397
- Computational Theory and Mathematics 296
Countries citing papers authored by Simon James
This map shows the geographic impact of Simon James'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 Simon James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon James more than expected).
Fields of papers citing papers by Simon James
This network shows the impact of papers produced by Simon James. 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 Simon James. The network helps show where Simon James may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon James, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of decision-making techniques in supplier selection: A systematic review of literature Hit paper breakdown → | 2012 | 748 |
| 2 | 2010 | 170 | |
| 3 | 2007 | 100 | |
| 4 | 2011 | 61 | |
| 5 | 2012 | 57 | |
| 6 | 2011 | 57 | |
| 7 | 2014 | 56 | |
| 8 | 2010 | 55 | |
| 9 | 2011 | 52 | |
| 10 | 2016 | 51 | |
| 11 | 2013 | 50 | |
| 12 | 2018 | 48 | |
| 13 | 2019 | 46 | |
| 14 | 2019 | 37 | |
| 15 | 2001 | 34 | |
| 16 | 2013 | 32 | |
| 17 | 1999 | 29 | |
| 18 | 2012 | 27 | |
| 19 | 2008 | 23 | |
| 20 | 2012 | 23 |
About Simon James
Simon James is a scholar working on Management Science and Operations Research, Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics and Signal Processing, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (45 papers), Fuzzy Systems and Optimization (29 papers), Rough Sets and Fuzzy Logic (15 papers), Data Management and Algorithms (9 papers), Neural Networks and Applications (8 papers), Optimization and Mathematical Programming (8 papers), Advanced Statistical Methods and Models (7 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Management Science and Operations Research (1.3k citations), Statistics and Probability (421 citations), Management Information Systems (303 citations), Strategy and Management (397 citations) and Computational Theory and Mathematics (296 citations). Simon James has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Gleb Beliakov, Junyi Chai, Eric W.T. Ngai, Meng Wang, Tomasa Calvo, Ronald R. Yager, Raymond Lee, Jian‐Zhang Wu, Dale G. Nimmo and Marek Gągolewski. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Knowledge-Based 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.