Trinh Minh Tri
- Transportation top 1%
- Human Mobility and Location-Based Analysis 11
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction 2
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- Mobile Crowdsensing and Crowdsourcing 3
- Signal Processing top 10%
- Time Series Analysis and Forecasting 2
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- Opportunistic and Delay-Tolerant Networks 6
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- Context-Aware Activity Recognition Systems 3
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- Green IT and Sustainability 3
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- Neural Networks and Applications 2
- Co-authors
- Daniel Gática-PérezJan BlomMarkus MiettinenOlivier DousseImad AadJ. LaurilaOlivier BornetJulien Eberle
- Journals
- Pervasive and Mobile Computing (3 papers)IEEE Transactions on Mobile Computing (1 paper)Personal and Ubiquitous Computing (1 paper)
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Trinh Minh Tri
15 papers receiving 641 citations
Peers
Comparison fields: 5 of 74
- Transportation 399
- Human-Computer Interaction 59
- Computer Science Applications 57
- Information Systems and Management 57
- Signal Processing 83
Countries citing papers authored by Trinh Minh Tri
This map shows the geographic impact of Trinh Minh Tri'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 Trinh Minh Tri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trinh Minh Tri more than expected).
Fields of papers citing papers by Trinh Minh Tri
This network shows the impact of papers produced by Trinh Minh Tri. 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 Trinh Minh Tri. The network helps show where Trinh Minh Tri may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Trinh Minh Tri, 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 | 2021 | 1 | |
| 2 | 2018 | 4 | |
| 3 | 2014 | 50 | |
| 4 | 2013 | 76 | |
| 5 | 2013 | 91 | |
| 6 | 2013 | 69 | |
| 7 | 2013 | 17 | |
| 8 | 2012 | 81 | |
| 9 | 2012 | 20 | |
| 10 | 2011 | 61 | |
| 11 | 2011 | 10 | |
| 12 | 2011 | 143 | |
| 13 | 2011 | 4 | |
| 14 | 2011 | 45 | |
| 15 | 2008 | 6 |
About Trinh Minh Tri
Trinh Minh Tri is a scholar working on Transportation, Computer Science Applications, Human-Computer Interaction, Computer Networks and Communications and Signal Processing, having authored 15 papers that have together received 678 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (11 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Context-Aware Activity Recognition Systems (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Green IT and Sustainability (3 papers), Neural Networks and Applications (2 papers), Time Series Analysis and Forecasting (2 papers) and Innovative Human-Technology Interaction (2 papers). The work is most often cited by research in Transportation (399 citations), Human-Computer Interaction (59 citations), Computer Science Applications (57 citations), Information Systems and Management (57 citations) and Signal Processing (83 citations). Trinh Minh Tri has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include Daniel Gática-Pérez, Jan Blom, Markus Miettinen, Olivier Dousse, Imad Aad, J. Laurila, Olivier Bornet, Julien Eberle, Eric Malmi and Thierry Artières. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Transactions on Mobile Computing, Personal and Ubiquitous Computing, Pattern Recognition and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.