David E. Smith

6.4k total citations
177 papers, 3.8k citations indexed

About

David E. Smith is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, David E. Smith has authored 177 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 23 papers in Sociology and Political Science and 22 papers in Computer Networks and Communications. Recurrent topics in David E. Smith's work include AI-based Problem Solving and Planning (46 papers), Logic, Reasoning, and Knowledge (31 papers) and Robotic Path Planning Algorithms (14 papers). David E. Smith is often cited by papers focused on AI-based Problem Solving and Planning (46 papers), Logic, Reasoning, and Knowledge (31 papers) and Robotic Path Planning Algorithms (14 papers). David E. Smith collaborates with scholars based in United States, Denmark and United Kingdom. David E. Smith's co-authors include Daniel S. Weld, Matthew L. Ginsberg, Jeremy Frank, Ari Jónsson, Corin R. Anderson, Subbarao Kambhampati, Therese Hoff Macan, Mark A. Peot, Robert M. McIntyre and Catherine Hassett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academy of Management Review and Journal of Applied Psychology.

In The Last Decade

David E. Smith

161 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Smith United States 32 1.6k 672 369 322 299 177 3.8k
Xiaoping Chen China 30 753 0.5× 540 0.8× 172 0.5× 153 0.5× 201 0.7× 231 3.0k
John Yen United States 34 2.0k 1.2× 525 0.8× 166 0.4× 444 1.4× 547 1.8× 184 4.8k
Qin Zhang China 25 554 0.3× 714 1.1× 91 0.2× 331 1.0× 268 0.9× 204 2.8k
Peter H. Schönemann United States 22 613 0.4× 256 0.4× 258 0.7× 139 0.4× 207 0.7× 57 3.2k
Miguel Sousa Lobo United States 9 160 0.1× 281 0.4× 276 0.7× 251 0.8× 193 0.6× 16 2.8k
Kush R. Varshney United States 26 1.2k 0.7× 105 0.2× 304 0.8× 204 0.6× 56 0.2× 135 2.7k
Yoshio Takane Canada 32 612 0.4× 336 0.5× 35 0.1× 348 1.1× 395 1.3× 137 5.1k
Jin Liu China 33 1.1k 0.7× 581 0.9× 227 0.6× 125 0.4× 191 0.6× 487 5.0k
Sheng Wu China 29 461 0.3× 1.1k 1.7× 662 1.8× 237 0.7× 42 0.1× 194 3.0k
Goutam Chakraborty Japan 33 404 0.2× 477 0.7× 47 0.1× 1.1k 3.5× 205 0.7× 208 3.7k

Countries citing papers authored by David E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by David E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Smith. 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 David E. Smith. The network helps show where David E. Smith may publish in the future.

Co-authorship network of co-authors of David E. Smith

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

All Works

20 of 20 papers shown
1.
Coles, Andrew, et al.. (2024). Explaining Plan Quality Differences. Proceedings of the International Conference on Automated Planning and Scheduling. 34. 324–332.
2.
Chakraborti, Tathagata, Yu Zhang, David E. Smith, & Subbarao Kambhampati. (2016). Planning with Resource Conflicts in Human-Robot Cohabitation. Adaptive Agents and Multi-Agents Systems. 1069–1077. 7 indexed citations
3.
Mazarico, E., Antonio Genova, Sander Goossens, et al.. (2015). The Gravity Field of Mercury After the Messenger Low-Altitude Campaign. Lunar and Planetary Science Conference. 1385. 1 indexed citations
4.
Micheli, Andrea, N. Minh, & David E. Smith. (2015). Compiling away uncertainty in strong temporal planning with uncontrollable durations. International Conference on Artificial Intelligence. 1631–1637. 5 indexed citations
5.
Smith, David E., et al.. (2014). Student Evaluations of Faculty Members: A Call for Analytical Prudence.. Journal on excellence in college teaching. 25(2). 56–67. 3 indexed citations
6.
Smith, David E., et al.. (2012). Implications of Changes in the Consumption of Wine across the European Continent. 24(3). 89. 2 indexed citations
7.
Meuleau, Nicolas, et al.. (2009). An Emergency Landing Planner for Damaged Aircraft. Innovative Applications of Artificial Intelligence. 26 indexed citations
8.
Meuleau, Nicolas, et al.. (2009). A Comparison of Risk Sensitive Path Planning Methods for Aircraft Emergency Landing. NASA STI Repository (National Aeronautics and Space Administration). 5 indexed citations
9.
Bryce, Daniel, Subbarao Kambhampati, & David E. Smith. (2006). Planning Graph Heuristics for Belief Space Search. Journal of Artificial Intelligence Research. 26. 35–99. 85 indexed citations
10.
Clancey, William J., Maarten Sierhuis, Nicola Muscettola, et al.. (2006). Field Demonstration of Surface Human-Robotic Exploration Activity.. National Conference on Artificial Intelligence. 114. 10 indexed citations
11.
Bryce, Daniel, Subbarao Kambhampati, & David E. Smith. (2006). Sequential monte carlo in probabilistic planning reachability heuristics. International Conference on Automated Planning and Scheduling. 233–242. 18 indexed citations
12.
Frank, Jeremy, Ari Jónsson, Robert E. Morris, David E. Smith, & Peter Norvig. (2001). Planning and Scheduling for Fleets of Earth Observing Satellites. 112 indexed citations
13.
Smith, David E. & Daniel S. Weld. (1998). Conformant Graphplan. National Conference on Artificial Intelligence. 889–896. 131 indexed citations
14.
Weld, Daniel S., Corin R. Anderson, & David E. Smith. (1998). Extending Graphplan to handle uncertainty and sensing actions. National Conference on Artificial Intelligence. 897–904. 164 indexed citations
15.
Smith, David E. & Mark A. Peot. (1996). Suspending recursion in causal-link planning. 23(7). 182–190. 18 indexed citations
16.
Peot, Mark A. & David E. Smith. (1993). Threat-removal strategies for partial-order planning. Disability and Rehabilitation. 35(8). 492–499. 40 indexed citations
17.
Myers, Karen L. & David E. Smith. (1988). The persistence of derived information. National Conference on Artificial Intelligence. 496–500. 15 indexed citations
18.
Ginsberg, Matthew L. & David E. Smith. (1987). Possible worlds and the qualification problem. National Conference on Artificial Intelligence. 212–217. 4 indexed citations
19.
Smith, David E.. (1983). Finding all of the Solutions to a Problem. National Conference on Artificial Intelligence. 373–377. 3 indexed citations
20.
Becker, Howard S., Irving Louis Horowitz, Stanford M. Lyman, et al.. (1971). Culture and civility in San Francisco. 21 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

Rankless by CCL
2026