Terrence L. Fine

103 total papers · 3.2k total citations
69 papers, 1.9k citations indexed

About

Terrence L. Fine is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Terrence L. Fine has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Terrence L. Fine's work include Neural Networks and Applications (11 papers), Bayesian Modeling and Causal Inference (9 papers) and Machine Learning and Algorithms (6 papers). Terrence L. Fine is often cited by papers focused on Neural Networks and Applications (11 papers), Bayesian Modeling and Causal Inference (9 papers) and Machine Learning and Algorithms (6 papers). Terrence L. Fine collaborates with scholars based in United States, Brazil and Taiwan. Terrence L. Fine's co-authors include Ian Hacking, Emmanuel J. Candès, Peter Walley, Marepalli B. Rao, Martin Harwit, N. J. A. Sloane, Sayandev Mukherjee, Chin‐Jen Ku, P. I. Fierens and Michael Kaplan and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Automatic Control.

In The Last Decade

Terrence L. Fine

64 papers receiving 1.6k citations

Hit Papers

The Emergence of Probabil... 1978 2026 1994 2010 1978 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Terrence L. Fine 648 286 251 213 203 69 1.9k
B. C. Brookes 611 0.9× 206 0.7× 289 1.2× 170 0.8× 202 1.0× 66 2.7k
Peter Grünwald 922 1.4× 330 1.2× 265 1.1× 55 0.3× 157 0.8× 99 1.8k
G. A. Barnard 374 0.6× 564 2.0× 229 0.9× 144 0.7× 84 0.4× 57 1.8k
Bruno de Finetti 609 0.9× 448 1.6× 322 1.3× 231 1.1× 133 0.7× 40 1.7k
Jean‐Claude Falmagne 1.3k 2.0× 238 0.8× 480 1.9× 63 0.3× 502 2.5× 83 3.2k
Stephan Hartmann 432 0.7× 40 0.1× 173 0.7× 841 3.9× 83 0.4× 87 2.1k
James Franklin 392 0.6× 84 0.3× 97 0.4× 95 0.4× 83 0.4× 88 1.6k
David Cox 326 0.5× 940 3.3× 372 1.5× 45 0.2× 99 0.5× 42 2.6k
Peter H. Schönemann 610 0.9× 320 1.1× 290 1.2× 29 0.1× 174 0.9× 57 3.2k
Marco Zaffalon 1.2k 1.8× 260 0.9× 372 1.5× 22 0.1× 405 2.0× 120 1.8k

Countries citing papers authored by Terrence L. Fine

Since Specialization
Citations

This map shows the geographic impact of Terrence L. Fine'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 Terrence L. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrence L. Fine more than expected).

Fields of papers citing papers by Terrence L. Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terrence L. Fine. 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 Terrence L. Fine. The network helps show where Terrence L. Fine may publish in the future.

Co-authorship network of co-authors of Terrence L. Fine

This figure shows the co-authorship network connecting the top 25 collaborators of Terrence L. Fine. A scholar is included among the top collaborators of Terrence L. Fine 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 Terrence L. Fine. Terrence L. Fine 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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