T. Dinh-Trong

727 total citations
10 papers, 445 citations indexed

About

T. Dinh-Trong is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, T. Dinh-Trong has authored 10 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Software and 3 papers in Artificial Intelligence. Recurrent topics in T. Dinh-Trong's work include Software Engineering Research (7 papers), Model-Driven Software Engineering Techniques (5 papers) and Software Testing and Debugging Techniques (5 papers). T. Dinh-Trong is often cited by papers focused on Software Engineering Research (7 papers), Model-Driven Software Engineering Techniques (5 papers) and Software Testing and Debugging Techniques (5 papers). T. Dinh-Trong collaborates with scholars based in United States, Bermuda and Norway. T. Dinh-Trong's co-authors include James M. Bieman, Sudipto Ghosh, Nachiappan Nagappan, R.B. France, Audris Mockus, Arnor Solberg, Robert France, Jean‐Marie Mottu, Anneliese Amschler Andrews and Franck Fleurey and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

T. Dinh-Trong

10 papers receiving 395 citations

Peers

T. Dinh-Trong
Comparison fields: 5 of 36
  • Information Systems 289
  • Software 253
  • Artificial Intelligence 127
  • Computer Science Applications 99
  • Computer Networks and Communications 98
Replace Martín Nordio with:
Martín Nordio Switzerland
Eelco Dolstra Netherlands
Nazareno Aguirre Argentina
Joel Ossher United States
Markus Pizka Germany
Barthélémy Dagenais Canada
Francisco Servant United States
Ronald B. Finkbine
Daniel Plakosh United States
Magiel Bruntink Netherlands
Martín Nordio Switzerland View profile →
Citations per field, relative to T. Dinh-Trong
T. Dinh-Trong · 1×
Citations per year, relative to T. Dinh-Trong
T. Dinh-Trong · 1×

Countries citing papers authored by T. Dinh-Trong

Since Specialization
Citations

This map shows the geographic impact of T. Dinh-Trong'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 T. Dinh-Trong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dinh-Trong more than expected).

Fields of papers citing papers by T. Dinh-Trong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Dinh-Trong. 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 T. Dinh-Trong. The network helps show where T. Dinh-Trong may publish in the future.

Co-authorship network of co-authors of T. Dinh-Trong

This figure shows the co-authorship network connecting the top 25 collaborators of T. Dinh-Trong. A scholar is included among the top collaborators of T. Dinh-Trong 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 T. Dinh-Trong. T. Dinh-Trong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 71
2 1
3 16
4 96
5
Model Transformation Testing Challenges
33
6 38
7 12
8 131
9 25
10 22

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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2026