Thomas Verma

2.0k total citations
6 papers, 675 citations indexed

About

Thomas Verma is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Thomas Verma has authored 6 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Statistics and Probability. Recurrent topics in Thomas Verma's work include Bayesian Modeling and Causal Inference (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Data Quality and Management (1 paper). Thomas Verma is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Logic, Reasoning, and Knowledge (2 papers) and Data Quality and Management (1 paper). Thomas Verma collaborates with scholars based in United States. Thomas Verma's co-authors include Judea Pearl, Dan Geiger and Peter Spirtes and has published in prestigious journals such as Networks, Statistics and Computing and Principles of Knowledge Representation and Reasoning.

In The Last Decade

Thomas Verma

6 papers receiving 585 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Verma United States 5 502 130 128 71 70 6 675
Richard Spillman United States 9 300 0.6× 38 0.3× 254 2.0× 47 0.7× 30 0.4× 21 532
Hsiang-Chuan Liu Taiwan 11 215 0.4× 205 1.6× 393 3.1× 60 0.8× 35 0.5× 64 622
Krzysztof Jajuga Poland 9 166 0.3× 61 0.5× 67 0.5× 36 0.5× 22 0.3× 52 359
Yungho Leu Taiwan 11 216 0.4× 16 0.1× 237 1.9× 115 1.6× 116 1.7× 32 640
Ralph Neuneier Germany 11 233 0.5× 22 0.2× 173 1.4× 36 0.5× 33 0.5× 21 467
Juhani Nieminen Finland 8 96 0.2× 32 0.2× 102 0.8× 20 0.3× 35 0.5× 43 619
Xin Dang United States 11 190 0.4× 146 1.1× 69 0.5× 16 0.2× 12 0.2× 44 462
J. Spragins United States 10 191 0.4× 160 1.2× 32 0.3× 23 0.3× 18 0.3× 36 520
Xiaoyue Liu China 15 181 0.4× 98 0.8× 441 3.4× 80 1.1× 163 2.3× 41 752
Ming Dong United States 12 275 0.5× 12 0.1× 45 0.4× 48 0.7× 73 1.0× 38 494

Countries citing papers authored by Thomas Verma

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Verma. 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 Verma. The network helps show where Thomas Verma may publish in the future.

Co-authorship network of co-authors of Thomas Verma

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

All Works

6 of 6 papers shown
1.
Spirtes, Peter & Thomas Verma. (2018). Equivalence of Causal Models with Latent Variables. KiltHub Repository. 1 indexed citations
2.
Verma, Thomas & Judea Pearl. (1992). An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation. Uncertainty in Artificial Intelligence. 323–330. 5 indexed citations
3.
Pearl, Judea & Thomas Verma. (1992). A statistical semantics for causation. Statistics and Computing. 2(2). 91–95. 23 indexed citations
4.
Pearl, Judea & Thomas Verma. (1991). A Theory of Inferred Causation.. Principles of Knowledge Representation and Reasoning. 441–452. 293 indexed citations
5.
Geiger, Dan, Thomas Verma, & Judea Pearl. (1990). Identifying independence in bayesian networks. Networks. 20(5). 507–534. 284 indexed citations
6.
Pearl, Judea & Thomas Verma. (1987). The logic of representing dependencies by directed graphs. National Conference on Artificial Intelligence. 66(7). 374–379. 69 indexed citations

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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