James P. Delgrande

2.5k total citations
109 papers, 1.0k citations indexed

About

James P. Delgrande is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, James P. Delgrande has authored 109 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 16 papers in Computational Theory and Mathematics. Recurrent topics in James P. Delgrande's work include Logic, Reasoning, and Knowledge (89 papers), Multi-Agent Systems and Negotiation (42 papers) and Semantic Web and Ontologies (32 papers). James P. Delgrande is often cited by papers focused on Logic, Reasoning, and Knowledge (89 papers), Multi-Agent Systems and Negotiation (42 papers) and Semantic Web and Ontologies (32 papers). James P. Delgrande collaborates with scholars based in Canada, Germany and Australia. James P. Delgrande's co-authors include Torsten Schaub, Hans Tompits, Diana Cukierman, Kewen Wang, Renata Wassermann, Pavlos Peppas, Stefan Woltran, Yi Jin, Gerhard Brewka and Javier Romero and has published in prestigious journals such as Artificial Intelligence, Journal of the ACM and Lecture notes in computer science.

In The Last Decade

James P. Delgrande

103 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James P. Delgrande Canada	18	961	208	154	52	34	109	1.0k
C. J. Hogger United Kingdom	5	759 0.8×	295 1.4×	99 0.6×	46 0.9×	53 1.6×	9	831
Victor W. Marek United States	17	802 0.8×	330 1.6×	129 0.8×	40 0.8×	48 1.4×	79	909
Ofer Arieli Israel	15	736 0.8×	403 1.9×	82 0.5×	29 0.6×	19 0.6×	69	801
Natasha Alechina United Kingdom	15	521 0.5×	208 1.0×	90 0.6×	66 1.3×	41 1.2×	95	628
Riccardo Pucella United States	13	336 0.3×	124 0.6×	145 0.9×	37 0.7×	147 4.3×	44	430
Ron van der Meyden Australia	18	767 0.8×	329 1.6×	233 1.5×	127 2.4×	89 2.6×	67	868
Matthias Thimm Germany	13	563 0.6×	62 0.3×	47 0.3×	17 0.3×	61 1.8×	76	627
Hans Tompits Austria	15	941 1.0×	136 0.7×	158 1.0×	41 0.8×	108 3.2×	66	1.0k
Chiaki Sakama Japan	14	624 0.6×	147 0.7×	78 0.5×	11 0.2×	23 0.7×	63	676
David W. Etherington United States	13	560 0.6×	189 0.9×	92 0.6×	28 0.5×	11 0.3×	23	598

Countries citing papers authored by James P. Delgrande

Since Specialization

Citations

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

Fields of papers citing papers by James P. Delgrande

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Delgrande. 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 James P. Delgrande. The network helps show where James P. Delgrande may publish in the future.

Co-authorship network of co-authors of James P. Delgrande

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Delgrande. A scholar is included among the top collaborators of James P. Delgrande 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 James P. Delgrande. James P. Delgrande 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

Brewka, Gerhard, James P. Delgrande, Javier Romero, & Torsten Schaub. (2023). A general framework for preferences in answer set programming. Artificial Intelligence. 325. 104023–104023. 1 indexed citations

Delgrande, James P., et al.. (2019). The logic of qualitative probability. Artificial Intelligence. 275. 457–486. 3 indexed citations

Delgrande, James P. & Pavlos Peppas. (2018). Incorporating Relevance in Epistemic States in Belief Revision. UTS ePRESS (University of Technology Sydney). 230–239. 3 indexed citations

Oveisi, Mehrdad, James P. Delgrande, Fred Popowich, & Francis Jeffry Pelletier. (2015). Kernel contraction and base dependence: redundancy in the base resulting in different types of dependence. International Conference on Artificial Intelligence. 3134–3140. 1 indexed citations

Delgrande, James P. & Hector J. Levesque. (2013). A formal account of nondeterministic and failed actions. International Joint Conference on Artificial Intelligence. 861–868. 6 indexed citations

Delgrande, James P. & Wolfgang Faber. (2011). Logic programming and nonmonotonic reasoning : 11th international conference, LPNMR 2011, Vancouver, Canada, May 16-19, 2011 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 11 indexed citations

Delgrande, James P.. (2008). Horn clause belief change: contraction functions. Principles of Knowledge Representation and Reasoning. 156–165. 23 indexed citations

Delgrande, James P., Torsten Schaub, Hans Tompits, & Stefan Woltran. (2008). Belief revision of logic programs under answer set semantics. Principles of Knowledge Representation and Reasoning. 411–421. 25 indexed citations

Delgrande, James P., et al.. (2007). An action description language for iterated belief change. International Joint Conference on Artificial Intelligence. 2498–2503. 4 indexed citations

10.

Delgrande, James P., et al.. (2007). COBA 2.0 A consistency-based belief change system. Lecture notes in computer science. 4724. 78–90. 1 indexed citations

11.

Delgrande, James P.. (2006). An extended query language for action languages (and its application to aggregates and preferences. publish.UP (University of Potsdam). 1 indexed citations

12.

Delgrande, James P. & Torsten Schaub. (2004). Consistency-based approaches to merging knowledge bases: preliminary report.. 126–133. 1 indexed citations

13.

Delgrande, James P., Abhaya Nayak, & Maurice Pagnucco. (2004). Conservative belief revision. National Conference on Artificial Intelligence. 251–256. 1 indexed citations

14.

Delgrande, James P., Abhaya Nayak, & Maurice Pagnucco. (2004). Conservative belief change. National Conference on Artificial Intelligence. 251–256. 1 indexed citations

15.

Cukierman, Diana & James P. Delgrande. (2004). A Theory for Convex Interval Relations including Unbounded Intervals.. The Florida AI Research Society. 789–794. 3 indexed citations

16.

Delgrande, James P., et al.. (1999). Point-based approaches to qualitative temporal reasoning. National Conference on Artificial Intelligence. 739–744. 3 indexed citations

17.

Delgrande, James P.. (1999). Considerations on a similarity-based approach to belief change. International Joint Conference on Artificial Intelligence. 180–185. 1 indexed citations

18.

Delgrande, James P., et al.. (1996). A representation for efficient temporal reasoning. National Conference on Artificial Intelligence. 381–388. 7 indexed citations

19.

Delgrande, James P.. (1994). A preference-based approach to default reasoning: preliminary report. National Conference on Artificial Intelligence. 902–908. 4 indexed citations

20.

Delgrande, James P., et al.. (1988). Tableau-based theorem proving in normal conditional logics. National Conference on Artificial Intelligence. 171–176. 7 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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