Thomas A. Russ

471 total citations
15 papers, 273 citations indexed

About

Thomas A. Russ is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Thomas A. Russ has authored 15 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Thomas A. Russ's work include Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (7 papers) and Logic, Reasoning, and Knowledge (4 papers). Thomas A. Russ is often cited by papers focused on Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (7 papers) and Logic, Reasoning, and Knowledge (4 papers). Thomas A. Russ collaborates with scholars based in United States and Switzerland. Thomas A. Russ's co-authors include Hans Chalupsky, Yolanda Gil, Gully Burns, Kristina Lerman, Milind Tambe, David V. Pynadath, Jean Oh, Craig A. Knoblock, Eduard Hovy and William J. Long and has published in prestigious journals such as BMC Bioinformatics, Computer Methods and Programs in Biomedicine and ACM SIGMOD Record.

In The Last Decade

Thomas A. Russ

14 papers receiving 231 citations

Peers

Thomas A. Russ

AI

CNC

IS

ISM

MB

Karsten Tolle Germany

Peter Z. Yeh United States

Alistair Russell United Kingdom

Ben De Meester Belgium

Gerald Reif Switzerland

Matthew Burgess United States

Stefano Teso Italy

Alex Ratner United States

Nuno Silva Portugal

Karsten Tolle Germany

Thomas A. Russ

197 ×1.2

AI

141 ×1.3

CNC

124 ×2.1

IS

15 ×0.3

ISM

13 ×0.3

MB

Citations per year, relative to Thomas A. Russ Thomas A. Russ (= 1×) peers Karsten Tolle

Countries citing papers authored by Thomas A. Russ

Since Specialization

Citations

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

Fields of papers citing papers by Thomas A. Russ

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas A. Russ

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Russ, Thomas A., C. R. Ramakrishnan, Eduard Hovy, Mihail Bota, & Gully Burns. (2011). Knowledge engineering tools for reasoning with scientific observations and interpretations: a neural connectivity use case. BMC Bioinformatics. 12(1). 351–351. 34 indexed citations

2.

Thompson, Richard H., et al.. (2011). Knowledge Synthesis with Maps of Neural Connectivity. Frontiers in Neuroinformatics. 5. 24–24. 5 indexed citations

3.

Burns, Gully & Thomas A. Russ. (2009). Biomedical knowledge engineering tools based on experimental design. 173–174. 3 indexed citations

4.

Hartholt, Arno, Thomas A. Russ, David Traum, Eduard Hovy, & Susan Robinson. (2008). A Common Ground for Virtual Humans: Using an Ontology in a Natural Language Oriented Virtual Human Architecture. Language Resources and Evaluation. 13 indexed citations

5.

Ambite, José Luis, Craig A. Knoblock, Kristina Lerman, et al.. (2008). Exploiting Data Semantics to Discover, Extract, and Model Web Sources. 771–779. 2 indexed citations

6.

Blythe, Jim & Thomas A. Russ. (2008). Case-based reasoning for procedure learning by instruction. 301–304. 1 indexed citations

7.

Maechling, P. J., Hans Chalupsky, Ewa Deelman, et al.. (2005). Simplifying construction of complex workflows for non-expert users of the Southern California Earthquake Center Community Modeling Environment. ACM SIGMOD Record. 34(3). 24–30. 38 indexed citations

8.

Fitzgerald, Julie C., Robert Schrag, Jim Blythe, et al.. (2003). Evaluating expert-authored rules for military reasoning. 96–104. 6 indexed citations

9.

Chalupsky, Hans & Thomas A. Russ. (2002). WhyNot: debugging failed queries in large knowledge bases. National Conference on Artificial Intelligence. 870–877. 20 indexed citations

10.

Chalupsky, Hans, Yolanda Gil, Craig A. Knoblock, et al.. (2001). Electric Elves: Applying Agent Technology to Support Human Organizations. Innovative Applications of Artificial Intelligence. 51–58. 81 indexed citations

11.

Russ, Thomas A.. (1995). Use of data abstraction methods to simplify monitoring. Artificial Intelligence in Medicine. 7(6). 497–514. 16 indexed citations

12.

Russ, Thomas A. & Peter Szolovits. (1991). Reasoning with time-dependent data. 7 indexed citations

13.

Russ, Thomas A.. (1990). Using hindsight in medical decision making. Computer Methods and Programs in Biomedicine. 32(1). 81–90. 11 indexed citations

14.

Russ, Thomas A.. (1989). Using Hindsight in Medical Decision Making. PubMed Central. 38–44. 21 indexed citations

15.

Long, William J. & Thomas A. Russ. (1983). A control structure for time dependent reasoning. International Joint Conference on Artificial Intelligence. 230–232. 15 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.

Explore authors with similar magnitude of impact