Thomas Ellman

435 total citations
21 papers, 238 citations indexed

About

Thomas Ellman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Thomas Ellman has authored 21 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Software. Recurrent topics in Thomas Ellman's work include AI-based Problem Solving and Planning (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Model-Driven Software Engineering Techniques (5 papers). Thomas Ellman is often cited by papers focused on AI-based Problem Solving and Planning (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Model-Driven Software Engineering Techniques (5 papers). Thomas Ellman collaborates with scholars based in United States and Netherlands. Thomas Ellman's co-authors include Mark Schwabacher, Haym Hirsh, Arunava Banerjee, Takahiro Murata, Ke-Thia Yao and Gerard R. Richter and has published in prestigious journals such as ACM Computing Surveys, Research in Engineering Design and Artificial intelligence for engineering design analysis and manufacturing.

In The Last Decade

Thomas Ellman

17 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Ellman United States	8	182	45	42	30	30	21	238
Philip London United States	6	193 1.1×	38 0.8×	61 1.5×	30 1.0×	26 0.9×	7	254
Ron Alford United States	12	344 1.9×	36 0.8×	88 2.1×	38 1.3×	58 1.9×	27	395
Wim Pijls Netherlands	8	125 0.7×	25 0.6×	36 0.9×	34 1.1×	4 0.1×	26	199
Torbjörn Lager Sweden	7	201 1.1×	26 0.6×	46 1.1×	46 1.5×	28 0.9×	18	274
Markus Triska Austria	6	130 0.7×	28 0.6×	55 1.3×	48 1.6×	30 1.0×	8	211
Jaime Carbonell United States	7	243 1.3×	34 0.8×	51 1.2×	30 1.0×	11 0.4×	12	342
Brahim Hamid France	9	100 0.5×	20 0.4×	49 1.2×	90 3.0×	77 2.6×	43	205
Norman Carver United States	9	208 1.1×	13 0.3×	71 1.7×	20 0.7×	4 0.1×	21	293
Karl Pfleger United States	5	117 0.6×	27 0.6×	21 0.5×	58 1.9×	11 0.4×	7	166
Mikaël Mayer Switzerland	7	114 0.6×	81 1.8×	44 1.0×	102 3.4×	109 3.6×	17	239

Countries citing papers authored by Thomas Ellman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Ellman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Ellman

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

All Works

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20 of 20 papers shown

Ellman, Thomas. (2006). Specification and synthesis of hybrid automata for physics-based animation. Automated Software Engineering. 13(3). 395–418. 2 indexed citations

Ellman, Thomas. (2004). Specification and synthesis of hybrid automata for physics-based animation. 2. 80–91. 4 indexed citations

Ellman, Thomas, et al.. (2003). Automated Synthesis of Numerical Programs for Simulation of Rigid Mechanical Systems in Physics-Based Animation. Automated Software Engineering. 10(4). 367–398. 3 indexed citations

Ellman, Thomas, et al.. (2002). Knowledge-based synthesis of numerical programs for simulation of rigid-body systems in physics-based animation. 93–104. 6 indexed citations

Ellman, Thomas, et al.. (2002). Knowledge-based re-engineering of legacy programs for robustness in automated design. 104–113. 2 indexed citations

Schwabacher, Mark, Haym Hirsh, & Thomas Ellman. (2002). Learning prototype-selection rules for case-based iterative design. View. 56–62.

Ellman, Thomas & Takahiro Murata. (1998). Deductive Synthesis of Numerical Simulation Programs from Networks of Algebraic and Ordinary Differential Equations. Automated Software Engineering. 5(3). 291–319. 8 indexed citations

Ellman, Thomas, et al.. (1998). A transformation system for interactive reformulation of design optimization strategies. Research in Engineering Design. 10(1). 30–61. 9 indexed citations

Schwabacher, Mark, Thomas Ellman, & Haym Hirsh. (1998). Learning to set up numerical optimizations of engineering designs. Artificial intelligence for engineering design analysis and manufacturing. 12(2). 173–192. 19 indexed citations

10.

Ellman, Thomas, et al.. (1997). Multilevel modelling for engineering design optimization. Artificial intelligence for engineering design analysis and manufacturing. 11(5). 357–378. 3 indexed citations

11.

Schwabacher, Mark, Thomas Ellman, & Haym Hirsh. (1996). Inductive learning for engineering design optimization. Artificial intelligence for engineering design analysis and manufacturing. 10(2). 179–180. 2 indexed citations

12.

Ellman, Thomas. (1995). Approximation and Abstraction Techniques for Generating Concise Answers to Database Queries. 1 indexed citations

13.

Ellman, Thomas, Arunava Banerjee, & Haym Hirsh. (1995). Inductive learning of feature-tracking rules for scientific visualization. View. 5 indexed citations

14.

Schwabacher, Mark, Gerard R. Richter, Thomas Ellman, & Haym Hirsh. (1995). Learning when reformulation is appropriate for iterative design. View. 1 indexed citations

15.

Ellman, Thomas. (1994). A toolbox and a record for scientific model development. NASA Technical Reports Server (NASA).

16.

Schwabacher, Mark, et al.. (1993). Intelligent Model Selection for Hillclimbing Search in Computer-Aided Design. View. 594–599. 14 indexed citations

17.

Ellman, Thomas. (1989). Integrated analytical and empirical learning of approximations for intractable theories. Columbia Academic Commons (Columbia University). 1 indexed citations

18.

Ellman, Thomas. (1989). Explanation-based learning: a survey of programs and perspectives. ACM Computing Surveys. 21(2). 163–221. 81 indexed citations

19.

Ellman, Thomas. (1988). Approximate Theory Formation: An Explanation-Based Approach. Columbia Academic Commons (Columbia University). 570–574. 18 indexed citations

20.

Ellman, Thomas. (1985). Generalizing Logic Circuit Designs by Analyzing Proofs of Correctness. Columbia Academic Commons (Columbia University). 643–646. 34 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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