Thomas Tran
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Blockchain Technology Applications and Security
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Sentiment Analysis and Opinion Mining
- Cryptography and Data Security
Papers in ⓘ
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- Recommender Systems and Techniques 12
- Blockchain Technology Applications and Security 9
- Spam and Phishing Detection 6
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- Access Control and Trust 16
- Co-authors
- Robin Cohen (10 shared papers)Richong Zhang (7 shared papers)Umar Farooq Minhas (3 shared papers)Jie Zhang (1 shared paper)Alaa Alslaity (6 shared papers)SK Alamgir Hossain (2 shared papers)Abdulmotaleb El Saddik (2 shared papers)A. Rahman (2 shared papers)
In The Last Decade
Thomas Tran
53 papers receiving 544 citations
Peers
Comparison fields: 5 of 63
- Information Systems 231
- Artificial Intelligence 250
- Computer Networks and Communications 152
- Sociology and Political Science 235
- Information Systems and Management 34
Countries citing papers authored by Thomas Tran
This map shows the geographic impact of Thomas Tran'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 Thomas Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Tran more than expected).
Fields of papers citing papers by Thomas Tran
This network shows the impact of papers produced by Thomas Tran. 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 Thomas Tran. The network helps show where Thomas Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Tran, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 96 | |
| 2 | Hybrid Recommender Systems for Electronic Commerce | 2000 | 68 |
| 3 | 2004 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2010 | 25 | |
| 6 | 2010 | 24 | |
| 7 | Helpful or Unhelpful: A Linear Approach for Ranking Product Reviews | 2010 | 23 |
| 8 | 2009 | 17 | |
| 9 | Reputation-oriented reinforcement learning strategies for economically-motivated agents in electronic market environments | 2004 | 16 |
| 10 | 2011 | 16 | |
| 11 | 2002 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2008 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2007 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 2006 | 9 | |
| 20 | 2022 | 9 |
About Thomas Tran
Thomas Tran is a scholar working on Information Systems, Sociology and Political Science, Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 55 papers that have together received 595 indexed citations. Recurring topics across this work include Access Control and Trust (16 papers), Recommender Systems and Techniques (12 papers), Blockchain Technology Applications and Security (9 papers), Auction Theory and Applications (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Privacy-Preserving Technologies in Data (6 papers), Spam and Phishing Detection (6 papers) and Game Theory and Applications (6 papers). The work is most often cited by research in Information Systems (231 citations), Artificial Intelligence (250 citations), Computer Networks and Communications (152 citations), Sociology and Political Science (235 citations) and Information Systems and Management (34 citations). Thomas Tran has collaborated with scholars based in Canada, Singapore and Australia. Frequent co-authors include Robin Cohen, Richong Zhang, Umar Farooq Minhas, Jie Zhang, Alaa Alslaity, SK Alamgir Hossain, Abdulmotaleb El Saddik, A. Rahman, Yongyi Mao and Alireza Pourshahid. Their work appears in journals such as Knowledge and Information Systems, Trauma Violence & Abuse, Journal of Sound and Vibration, Journal of electronic commerce research and AAPG Bulletin.
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.