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
- Cryptography and Data Security
- Sentiment Analysis and Opinion Mining
Papers in
-
- Recommender Systems and Techniques 17
- Blockchain Technology Applications and Security 12
- Spam and Phishing Detection 8
-
- Sentiment Analysis and Opinion Mining 8
- Co-authors
- Robin Cohen (15 shared papers)Richong Zhang (10 shared papers)Umar Farooq Minhas (4 shared papers)Jie Zhang (1 shared paper)Alaa Alslaity (8 shared papers)Abdulmotaleb El Saddik (2 shared papers)A. Rahman (2 shared papers)SK Alamgir Hossain (2 shared papers)
- Journals
- Knowledge and Information Systems (5 papers)Trauma Violence & Abuse (2 papers)Lecture notes in computer science (12 papers)User Modeling and User-Adapted Interaction (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Thomas Tran
71 papers receiving 744 citations
Peers
Comparison fields: 5 of 74
- Information Systems 306
- Artificial Intelligence 332
- Marketing 77
- Computer Networks and Communications 193
- Information Systems and Management 52
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 100 | |
| 2 | Hybrid Recommender Systems for Electronic Commerce | 2000 | 82 |
| 3 | 2004 | 55 | |
| 4 | 2010 | 53 | |
| 5 | 2010 | 34 | |
| 6 | 2009 | 32 | |
| 7 | 2010 | 30 | |
| 8 | Helpful or Unhelpful: A Linear Approach for Ranking Product Reviews | 2010 | 25 |
| 9 | 2009 | 20 | |
| 10 | 2011 | 18 | |
| 11 | Reputation-oriented reinforcement learning strategies for economically-motivated agents in electronic market environments | 2004 | 17 |
| 12 | 2002 | 16 | |
| 13 | 2003 | 16 | |
| 14 | 2014 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2007 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2011 | 12 | |
| 20 | 2008 | 12 |
About Thomas Tran
Thomas Tran is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Management Science and Operations Research and Computer Networks and Communications, having authored 74 papers that have together received 812 indexed citations. Recurring topics across this work include Access Control and Trust (19 papers), Recommender Systems and Techniques (17 papers), Blockchain Technology Applications and Security (12 papers), Auction Theory and Applications (12 papers), Digital Marketing and Social Media (9 papers), Spam and Phishing Detection (8 papers), Sentiment Analysis and Opinion Mining (8 papers) and Game Theory and Applications (7 papers). The work is most often cited by research in Information Systems (306 citations), Artificial Intelligence (332 citations), Marketing (77 citations), Computer Networks and Communications (193 citations) and Information Systems and Management (52 citations). Thomas Tran has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Robin Cohen, Richong Zhang, Umar Farooq Minhas, Jie Zhang, Alaa Alslaity, Abdulmotaleb El Saddik, A. Rahman, SK Alamgir Hossain, Yongyi Mao and Jie Zhang. Their work appears in journals such as Knowledge and Information Systems, Trauma Violence & Abuse, Lecture notes in computer science, User Modeling and User-Adapted Interaction and Social Network Analysis and Mining.
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.