Michael Gelfond

11.6k total citations · 2 hit papers
80 papers, 4.9k citations indexed

About

Michael Gelfond is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Michael Gelfond has authored 80 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Michael Gelfond's work include Logic, Reasoning, and Knowledge (76 papers), Semantic Web and Ontologies (46 papers) and Multi-Agent Systems and Negotiation (36 papers). Michael Gelfond is often cited by papers focused on Logic, Reasoning, and Knowledge (76 papers), Semantic Web and Ontologies (46 papers) and Multi-Agent Systems and Negotiation (36 papers). Michael Gelfond collaborates with scholars based in United States, Italy and United Kingdom. Michael Gelfond's co-authors include Vladimir Lifschitz, Chitta Baral, Halina Przymusinska, Nicola Leone, Marcello Balduccini, Marcello Balduccini, Teodor C. Przymusiński, Esra Erdem, Yuanlin Zhang and Alessandro Provetti and has published in prestigious journals such as Artificial Intelligence, Lecture notes in computer science and International Journal of Intelligent Systems.

In The Last Decade

Michael Gelfond

78 papers receiving 4.3k citations

Hit Papers

The stable model semantics for logic programming 1988 2026 2000 2013 1988 1991 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gelfond United States 24 4.8k 960 591 191 161 80 4.9k
Vladimir Lifschitz United States 31 6.0k 1.3× 1.2k 1.3× 731 1.2× 221 1.2× 163 1.0× 125 6.3k
Torsten Schaub Germany 26 2.2k 0.5× 456 0.5× 483 0.8× 99 0.5× 79 0.5× 172 2.6k
Catuscia Palamidessi France 22 1.4k 0.3× 770 0.8× 363 0.6× 144 0.8× 106 0.7× 142 1.7k
Gerhard Brewka Germany 25 2.2k 0.5× 319 0.3× 304 0.5× 120 0.6× 99 0.6× 84 2.3k
David S. Warren United States 24 1.7k 0.3× 594 0.6× 620 1.0× 324 1.7× 316 2.0× 99 2.0k
Andrew D. Gordon United Kingdom 13 1.4k 0.3× 553 0.6× 1.3k 2.2× 761 4.0× 135 0.8× 20 2.0k
Pierpaolo Degano Italy 22 847 0.2× 611 0.6× 563 1.0× 407 2.1× 111 0.7× 151 1.4k
Egon Börger Italy 20 1.4k 0.3× 1.1k 1.1× 515 0.9× 555 2.9× 95 0.6× 101 2.3k
Frank Pfenning United States 30 3.8k 0.8× 2.3k 2.4× 639 1.1× 582 3.0× 137 0.9× 166 4.1k
Leonard Pitt United States 19 1.4k 0.3× 818 0.9× 226 0.4× 68 0.4× 57 0.4× 62 1.6k

Countries citing papers authored by Michael Gelfond

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gelfond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gelfond

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gelfond. A scholar is included among the top collaborators of Michael Gelfond 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 Michael Gelfond. Michael Gelfond 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.
Gelfond, Michael, et al.. (2020). Causal Analysis of Events Occurring in Trajectories of Dynamic Domains.. International Conference on Lightning Protection. 1 indexed citations
2.
Gelfond, Michael, et al.. (2019). P-log: refinement and a new coherency condition. Annals of Mathematics and Artificial Intelligence. 86(1-3). 149–192. 3 indexed citations
3.
Sridharan, Mohan & Michael Gelfond. (2016). Using knowledge representation and reasoning tools in the design of robots. University of Birmingham Research Portal (University of Birmingham). 5 indexed citations
4.
Son, Tran Cao, Enrico Pontelli, Michael Gelfond, & Marcello Balduccini. (2015). Reasoning about Truthfulness of Agents Using Answer Set Programming.. Principles of Knowledge Representation and Reasoning. 47–50. 1 indexed citations
5.
Balduccini, Marcello & Michael Gelfond. (2008). The AAA Architecture: An Overview.. National Conference on Artificial Intelligence. 1–6. 6 indexed citations
6.
Gelfond, Michael, et al.. (2008). Integrating answer set reasoning with constraint solving techniques. 15–31. 13 indexed citations
7.
Gelfond, Michael. (2006). Going Places: Notes on a Modular Development of Knowledge about Travel.. National Conference on Artificial Intelligence. 56–66. 7 indexed citations
8.
Gelfond, Michael, et al.. (2006). Combining Logical and Probabilistic Reasoning.. National Conference on Artificial Intelligence. 50–55. 7 indexed citations
9.
Gelfond, Michael, et al.. (2005). Modeling hybrid domains using process description language. ThinkTech (Texas Tech University). 142. 303–317. 10 indexed citations
10.
Son, Tran Cao, et al.. (2005). Conformant planning for domains with constraints: a new approach. National Conference on Artificial Intelligence. 1211–1216. 15 indexed citations
11.
Baral, Chitta, et al.. (2005). Textual inference by combining multiple Logic programming paradigms. National Conference on Artificial Intelligence. 1–5. 9 indexed citations
12.
Baral, Chitta & Michael Gelfond. (1993). Representing concurrent actions in extended logic programming. International Joint Conference on Artificial Intelligence. 866–871. 39 indexed citations
13.
Baral, Chitta, Michael Gelfond, & Olga Kosheleva. (1993). Approximating general logic programs. International Conference on Logic Programming. 181–198. 3 indexed citations
14.
Gelfond, Michael & Vladimir Lifschitz. (1992). Representing Actions in Extended Logic Programming.. 559–573. 47 indexed citations
15.
Gelfond, Michael. (1991). Strong introspection. National Conference on Artificial Intelligence. 386–391. 27 indexed citations
16.
Gelfond, Michael & Vladimir Lifschitz. (1990). Logic programs with classical negation. International Conference on Lightning Protection. 579–597. 227 indexed citations
17.
Gelfond, Michael & Vladimir Lifschitz. (1988). Compiling circumscriptive theories into logic programs: preliminary report. National Conference on Artificial Intelligence. 455–459. 5 indexed citations
18.
Gelfond, Michael & Vladimir Lifschitz. (1988). Compiling Circumscriptive Theories into Logic Programs.. National Conference on Artificial Intelligence. 6 indexed citations
19.
Gelfond, Michael, Halina Przymusinska, & Teodor C. Przymusiński. (1988). Minimal Model Semantics vs. Negation as Failure: A Comparison of Semantics.. 435–443. 2 indexed citations
20.
Gelfond, Michael. (1987). On stratified autoepistemic theories. National Conference on Artificial Intelligence. 207–211. 83 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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