Olivier Raiman

818 total citations
14 papers, 330 citations indexed

About

Olivier Raiman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Olivier Raiman has authored 14 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Software. Recurrent topics in Olivier Raiman's work include AI-based Problem Solving and Planning (7 papers), Semantic Web and Ontologies (3 papers) and Machine Learning and Algorithms (2 papers). Olivier Raiman is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Semantic Web and Ontologies (3 papers) and Machine Learning and Algorithms (2 papers). Olivier Raiman collaborates with scholars based in United States, France and China. Olivier Raiman's co-authors include Jonathan Raiman, Johan de Kleer, Brian C. Williams, Paul Bourgine, Vijay Saraswat, M. Shirley and Philippe Dague and has published in prestigious journals such as Artificial Intelligence, Morgan Kaufmann Publishers Inc. eBooks and arXiv (Cornell University).

In The Last Decade

Olivier Raiman

14 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olivier Raiman United States	10	294	59	51	46	39	14	330
Leliane Nunes de Barros Brazil	10	177 0.6×	21 0.4×	43 0.8×	36 0.8×	27 0.7×	43	238
Norman Foo Australia	15	429 1.5×	49 0.8×	42 0.8×	15 0.3×	61 1.6×	64	512
Jean Lieber France	9	213 0.7×	27 0.5×	41 0.8×	9 0.2×	56 1.4×	45	273
Michel Manago Germany	7	150 0.5×	20 0.3×	15 0.3×	17 0.4×	57 1.5×	12	212
Sihan Xu China	8	68 0.2×	38 0.6×	42 0.8×	44 1.0×	82 2.1×	40	254
Silvia Mazzini Italy	6	115 0.4×	16 0.3×	55 1.1×	56 1.2×	58 1.5×	27	177
Dietmar Seipel Germany	8	186 0.6×	11 0.2×	39 0.8×	66 1.4×	125 3.2×	60	291
Maja D’Hondt Belgium	11	247 0.8×	30 0.5×	56 1.1×	56 1.2×	150 3.8×	30	306
Martin Mundhenk Germany	10	196 0.7×	40 0.7×	47 0.9×	19 0.4×	12 0.3×	29	276

Countries citing papers authored by Olivier Raiman

Since Specialization

Citations

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

Fields of papers citing papers by Olivier Raiman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Raiman

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Raiman, Jonathan & Olivier Raiman. (2018). DeepType: Multilingual Entity Linking by Neural Type System Evolution. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 87 indexed citations

2.

Raiman, Jonathan & Olivier Raiman. (2018). DeepType: Multilingual Entity Linking by Neural Type System Evolution. arXiv (Cornell University). 5406–5413. 29 indexed citations

3.

Kleer, Johan de & Olivier Raiman. (1995). Trading off the costs of inference vs. probing in diagnosis. International Joint Conference on Artificial Intelligence. 1736–1741. 13 indexed citations

4.

Williams, Brian C. & Olivier Raiman. (1994). Decompositional modeling through caricatural reasoning. National Conference on Artificial Intelligence. 1199–1204. 14 indexed citations

5.

Raiman, Olivier, Johan de Kleer, & Vijay Saraswat. (1993). Critical reasoning. International Joint Conference on Artificial Intelligence. 18–23. 7 indexed citations

6.

Raiman, Olivier & Johan de Kleer. (1992). A Minimality Maintenance System.. Principles of Knowledge Representation and Reasoning. 37(1). 532–538. 4 indexed citations

7.

Raiman, Olivier. (1992). The Alibi Principle. Morgan Kaufmann Publishers Inc. eBooks. 66–70. 10 indexed citations

8.

Kleer, Johan de, et al.. (1992). One step lookahead is pretty good. Morgan Kaufmann Publishers Inc. eBooks. 138–142. 19 indexed citations

9.

Raiman, Olivier, Johan de Kleer, Vijay Saraswat, & M. Shirley. (1992). Characterizing non-intermittent faults. National Conference on Artificial Intelligence. 6(3). 170–175. 16 indexed citations

10.

Raiman, Olivier. (1991). Order of magnitude reasoning. Artificial Intelligence. 51(1-3). 11–38. 92 indexed citations

11.

Raiman, Olivier, et al.. (1990). How time changes assumptions. European Conference on Artificial Intelligence. 378–383. 9 indexed citations

12.

Raiman, Olivier, et al.. (1988). Assembling a device. Artificial Intelligence in Engineering. 3(4). 216–226. 17 indexed citations

13.

Bourgine, Paul & Olivier Raiman. (1987). Economics as Reasoning on a Qualitative Model. IFAC Proceedings Volumes. 20(10). 121–125. 11 indexed citations

14.

Dague, Philippe, et al.. (1987). Qualitative reasoning in troubleshooting. 613–632. 2 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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