Adam J. Grove

2.5k total citations
35 papers, 1.3k citations indexed

About

Adam J. Grove is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Adam J. Grove has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Adam J. Grove's work include Bayesian Modeling and Causal Inference (14 papers), Logic, Reasoning, and Knowledge (13 papers) and Machine Learning and Algorithms (10 papers). Adam J. Grove is often cited by papers focused on Bayesian Modeling and Causal Inference (14 papers), Logic, Reasoning, and Knowledge (13 papers) and Machine Learning and Algorithms (10 papers). Adam J. Grove collaborates with scholars based in United States, Canada and Israel. Adam J. Grove's co-authors include Dale Schuurmans, Joseph Y. Halpern, Fahiem Bacchus, Daphne Koller, Dan Roth, Russell Greiner, Nick Littlestone, Craig Boutilier, Daphne Koller and Alexander Kogan and has published in prestigious journals such as Pattern Recognition, Artificial Intelligence and Machine Learning.

In The Last Decade

Adam J. Grove

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam J. Grove United States 18 1.2k 237 138 124 114 35 1.3k
T.J. Tjalkens Netherlands 7 574 0.5× 142 0.6× 38 0.3× 175 1.4× 172 1.5× 20 732
Gerda Janssens Belgium 14 595 0.5× 338 1.4× 24 0.2× 75 0.6× 180 1.6× 72 878
Yvo Desmedt United States 15 768 0.7× 137 0.6× 41 0.3× 194 1.6× 532 4.7× 93 1.2k
Barbara Vantaggi Italy 17 518 0.4× 238 1.0× 309 2.2× 24 0.2× 41 0.4× 83 799
Gabriele Kern-Isberner Germany 17 744 0.6× 128 0.5× 50 0.4× 15 0.1× 81 0.7× 137 885
Michael Barr Canada 11 852 0.7× 655 2.8× 68 0.5× 19 0.2× 159 1.4× 22 1.4k
Xavier Carreras Spain 21 2.4k 2.0× 72 0.3× 71 0.5× 227 1.8× 36 0.3× 54 2.5k
Melvin Fitting United States 26 3.1k 2.7× 2.0k 8.5× 76 0.6× 30 0.2× 263 2.3× 98 3.4k
Seán Slattery United States 8 974 0.8× 57 0.2× 66 0.5× 140 1.1× 112 1.0× 9 1.2k
Milan Studený Czechia 15 566 0.5× 225 0.9× 120 0.9× 17 0.1× 60 0.5× 52 690

Countries citing papers authored by Adam J. Grove

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Grove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam J. Grove. 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 Adam J. Grove. The network helps show where Adam J. Grove may publish in the future.

Co-authorship network of co-authors of Adam J. Grove

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Grove. A scholar is included among the top collaborators of Adam J. Grove 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 Adam J. Grove. Adam J. Grove 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.
Grove, Adam J. & Joseph Y. Halpern. (2013). Probability Update: Conditioning vs. Cross-Entropy. arXiv (Cornell University). 208–214. 5 indexed citations
2.
Greiner, Russell, Adam J. Grove, & Dan Roth. (2002). Learning cost-sensitive active classifiers☆☆This extends the short conference paper [19].. Artificial Intelligence. 139(2). 137–174. 110 indexed citations
3.
Bacchus, Fahiem & Adam J. Grove. (1999). Looking Forward in Constraint Satisfaction Algorithms. 3 indexed citations
4.
Grove, Adam J. & Dale Schuurmans. (1998). Boosting in the limit: maximizing the margin of learned ensembles. National Conference on Artificial Intelligence. 692–699. 161 indexed citations
5.
Grove, Adam J. & Dan Roth. (1997). Linear Concepts and Hidden Variables: An Empirical Study. Neural Information Processing Systems. 10. 500–506. 2 indexed citations
6.
Bacchus, Fahiem, Craig Boutilier, & Adam J. Grove. (1997). Structured solution methods for non-Markovian decision processes. National Conference on Artificial Intelligence. 112–117. 21 indexed citations
7.
Greiner, Russell, Adam J. Grove, & Alexander Kogan. (1997). Knowing what doesn't matter: exploiting the omission of irrelevant data. Artificial Intelligence. 97(1-2). 345–380. 19 indexed citations
8.
Bacchus, Fahiem, Craig Boutilier, & Adam J. Grove. (1996). Rewarding behaviors. National Conference on Artificial Intelligence. 1160–1167. 42 indexed citations
9.
Greiner, Russell, Adam J. Grove, & Alexander Kogan. (1996). Exploiting the omission of irrelevant data. International Conference on Machine Learning. 216–224. 4 indexed citations
10.
Bacchus, Fahiem & Adam J. Grove. (1996). Utility independence in a qualitative decision theory. Principles of Knowledge Representation and Reasoning. 542–552. 34 indexed citations
11.
Greiner, Russell, Adam J. Grove, & Dan Roth. (1996). Learning active classifiers. International Conference on Machine Learning. 207–215. 21 indexed citations
12.
Bacchus, Fahiem, Adam J. Grove, Joseph Y. Halpern, & Daphne Koller. (1996). From statistical knowledge bases to degrees of belief. Artificial Intelligence. 87(1-2). 75–143. 131 indexed citations
13.
Basri, Ronen, Adam J. Grove, & David Jacobs. (1996). Efficient determination of shape from multiple images containing partial information. 268–274 vol.1. 1 indexed citations
14.
Grove, Adam J.. (1995). Naming and identity in epistemic logic part II: a first-order logic for naming. Artificial Intelligence. 74(2). 311–350. 21 indexed citations
15.
Bacchus, Fahiem, Adam J. Grove, Joseph Y. Halpern, & Daphne Koller. (1994). Forming beliefs about a changing world. National Conference on Artificial Intelligence. 222–229. 3 indexed citations
16.
Grove, Adam J., Joseph Y. Halpern, & Daphne Koller. (1994). Random Worlds and Maximum Entropy. Journal of Artificial Intelligence Research. 2. 33–88. 46 indexed citations
17.
Bacchus, Fahiem, Adam J. Grove, Joseph Y. Halpern, & Daphne Koller. (1993). Statistical foundations for default reasoning. International Joint Conference on Artificial Intelligence. 563–569. 33 indexed citations
18.
Grove, Adam J.. (1992). Semantics for Knowledge and Communication.. Principles of Knowledge Representation and Reasoning. 213–224. 3 indexed citations
19.
Grove, Adam J. & Joseph Y. Halpern. (1991). Naming and identity in a multi-agent epistemic logic. Principles of Knowledge Representation and Reasoning. 301–312. 6 indexed citations
20.
Christensen, Jens & Adam J. Grove. (1991). A formal model for classical planning. International Joint Conference on Artificial Intelligence. 246–251. 3 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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