T. Pham‐Gia

65 total papers · 1.4k total citations
58 papers, 1.0k citations indexed

About

T. Pham‐Gia is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, T. Pham‐Gia has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 17 papers in Artificial Intelligence and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in T. Pham‐Gia's work include Advanced Statistical Methods and Models (27 papers), Statistical Distribution Estimation and Applications (20 papers) and Bayesian Methods and Mixture Models (15 papers). T. Pham‐Gia is often cited by papers focused on Advanced Statistical Methods and Models (27 papers), Statistical Distribution Estimation and Applications (20 papers) and Bayesian Methods and Mixture Models (15 papers). T. Pham‐Gia collaborates with scholars based in Canada, Vietnam and South Africa. T. Pham‐Gia's co-authors include N. Turkkan, Tai Vovan, Éric Marchand, P. Eng, Andriëtte Bekker, Vartan Choulakian and Marc Dorval and has published in prestigious journals such as Technometrics, Journal of the Royal Statistical Society Series C (Applied Statistics) and IEEE Transactions on Reliability.

In The Last Decade

T. Pham‐Gia

54 papers receiving 971 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Pham‐Gia 524 276 178 161 64 58 1.0k
T. Cacoullos 512 1.0× 297 1.1× 111 0.6× 145 0.9× 76 1.2× 40 1.1k
Min‐Te Chao 566 1.1× 224 0.8× 208 1.2× 184 1.1× 46 0.7× 19 1.0k
Anindya Roy 325 0.6× 220 0.8× 83 0.5× 96 0.6× 61 1.0× 73 1.1k
Friedrich Liese 348 0.7× 235 0.9× 92 0.5× 108 0.7× 71 1.1× 38 827
Béatrice Laurent 361 0.7× 265 1.0× 235 1.3× 70 0.4× 68 1.1× 50 1.1k
Mariano J. Valderrama 538 1.0× 202 0.7× 155 0.9× 97 0.6× 55 0.9× 56 1.2k
A. E. Sarhan 576 1.1× 152 0.6× 328 1.8× 90 0.6× 35 0.5× 34 1.0k
Mary Ellen Bock 673 1.3× 170 0.6× 153 0.9× 144 0.9× 33 0.5× 40 1.1k
Rosa E. Lillo 386 0.7× 177 0.6× 187 1.1× 180 1.1× 27 0.4× 89 865
Patrick L. Odell 277 0.5× 265 1.0× 56 0.3× 104 0.6× 112 1.8× 63 1.2k

Countries citing papers authored by T. Pham‐Gia

Since Specialization
Citations

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

Fields of papers citing papers by T. Pham‐Gia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Pham‐Gia. 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. Pham‐Gia. The network helps show where T. Pham‐Gia may publish in the future.

Co-authorship network of co-authors of T. Pham‐Gia

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

All Works

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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