Katsumi Inoue

3.8k total citations
166 papers, 1.2k citations indexed

About

Katsumi Inoue is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Katsumi Inoue has authored 166 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Artificial Intelligence, 41 papers in Computational Theory and Mathematics and 29 papers in Computer Networks and Communications. Recurrent topics in Katsumi Inoue's work include Logic, Reasoning, and Knowledge (71 papers), Semantic Web and Ontologies (39 papers) and AI-based Problem Solving and Planning (24 papers). Katsumi Inoue is often cited by papers focused on Logic, Reasoning, and Knowledge (71 papers), Semantic Web and Ontologies (39 papers) and AI-based Problem Solving and Planning (24 papers). Katsumi Inoue collaborates with scholars based in Japan, France and Vietnam. Katsumi Inoue's co-authors include Chiaki Sakama, Cong‐Kha Pham, Taisuke Sato, Mutsunori Banbara, David Poole, Jeff Kramer, Naoyuki Tamura, Domenico Corapi, Daniel Sykes and Jeff Magee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Katsumi Inoue

145 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katsumi Inoue Japan	18	960	246	241	91	89	166	1.2k
Martin Gebser Germany	19	1.3k 1.3×	273 1.1×	247 1.0×	41 0.5×	43 0.5×	72	1.5k
Torsten Schaub Germany	26	2.2k 2.3×	483 2.0×	456 1.9×	60 0.7×	99 1.1×	172	2.6k
Inês Lynce Portugal	15	329 0.3×	287 1.2×	308 1.3×	48 0.5×	87 1.0×	82	684
Juraj Hromkovič Germany	17	383 0.4×	317 1.3×	573 2.4×	37 0.4×	38 0.4×	128	1.0k
Maciej Koutny United Kingdom	17	474 0.5×	446 1.8×	923 3.8×	157 1.7×	225 2.5×	155	1.4k
Craig Stanfill United States	10	883 0.9×	250 1.0×	111 0.5×	66 0.7×	260 2.9×	21	1.1k
Chris Hanson United States	9	654 0.7×	270 1.1×	314 1.3×	290 3.2×	185 2.1×	13	1.1k
Colin de la Higuera France	11	571 0.6×	93 0.4×	227 0.9×	19 0.2×	113 1.3×	49	828
Yahiko Kambayashi Japan	14	394 0.4×	366 1.5×	184 0.8×	62 0.7×	148 1.7×	105	764
Roland H. C. Yap Singapore	15	620 0.6×	670 2.7×	203 0.8×	95 1.0×	202 2.3×	103	1.2k

Countries citing papers authored by Katsumi Inoue

Since Specialization

Citations

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

Fields of papers citing papers by Katsumi Inoue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsumi Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Katsumi Inoue. A scholar is included among the top collaborators of Katsumi Inoue 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 Katsumi Inoue. Katsumi Inoue 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

Hu, Hongbo, Yisong Wang, & Katsumi Inoue. (2025). Learning possibilistic dynamic systems from state transitions. Fuzzy Sets and Systems. 504. 109259–109259.

Inoue, Katsumi, et al.. (2024). A differentiable first-order rule learner for inductive logic programming. Artificial Intelligence. 331. 104108–104108. 1 indexed citations

Morimoto, Kazuhiro, et al.. (2024). 3D-Stacked 1Megapixel Time-Gated SPAD Image Sensor with 2D Interactive Gating Network for Image Alignment-Free Sensor Fusion. 1–2. 2 indexed citations

Sato, Taisuke & Katsumi Inoue. (2023). Differentiable learning of matricized DNFs and its application to Boolean networks. Machine Learning. 112(8). 2821–2843.

Inoue, Katsumi, et al.. (2023). Editing Boolean Classifiers: A Belief Change Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6516–6524.

Inoue, Katsumi, et al.. (2019). Learning Representation of Relational Dynamics with Delays and Refining with Prior Knowledge.. 6. 695–708. 1 indexed citations

Demirović, Emir, et al.. (2018). Recoverable Team Formation: Building Teams Resilient to Change. Adaptive Agents and Multi-Agents Systems. 1362–1370. 6 indexed citations

Magnin, Morgan, et al.. (2015). Learning Delayed Influences of Biological Systems. Frontiers in Bioengineering and Biotechnology. 2. 81–81. 6 indexed citations

Clément, Maxime, et al.. (2014). Lp-Norm based algorithm for multi-objective distributed constraint optimization. Adaptive Agents and Multi-Agents Systems. 2. 1427–1428. 3 indexed citations

10.

Inoue, Katsumi, et al.. (2013). Set Operating Processor (SOP) -- Application for Image recognition. IEICE Technical Report; IEICE Tech. Rep.. 113(236). 35–40. 3 indexed citations

11.

Inoue, Katsumi, et al.. (2012). Evaluation of the Prediction of Gene Knockout Effects by Minimal Pathway Enumeration. 4. 154–165. 1 indexed citations

12.

Erdem, Esra, Katsumi Inoue, Johannes Oetsch, et al.. (2012). Event-sequence testing using answer-set programming. Journal of Cardiac Surgery. 36(1). 111–117. 10 indexed citations

13.

Erdem, Esra, Katsumi Inoue, Johannes Oetsch, et al.. (2011). Answer-Set Programming as a new Approach to Event-Sequence Testing. Sabanci University. 63(6). 25–34. 13 indexed citations

14.

Inoue, Katsumi, et al.. (2009). Evaluating abductive hypotheses using an EM algorithm on BDDs. International Joint Conference on Artificial Intelligence. 8. 810–815. 12 indexed citations

15.

Inoue, Katsumi & Chiaki Sakama. (2007). Generality and equivalence relations in default logic. National Conference on Artificial Intelligence. 434–439. 1 indexed citations

16.

Inoue, Katsumi & Chiaki Sakama. (2005). Equivalence in abductive logic. International Joint Conference on Artificial Intelligence. 472–477. 3 indexed citations

17.

Sakama, Chiaki & Katsumi Inoue. (1996). Representing Priorities in Logic Programs.. 82–96. 32 indexed citations

18.

Sakama, Chiaki & Katsumi Inoue. (1993). Negation in disjunctive logic programs. International Conference on Logic Programming. 13(10). 703–719. 7 indexed citations

19.

Inoue, Katsumi, et al.. (1993). Bottom-up abduction by model generation. International Joint Conference on Artificial Intelligence. 102–108. 10 indexed citations

20.

Inoue, Katsumi. (1988). Problem Solving with Hypothetical Reasoning.. Future Generation Computer Systems. 1275–1281. 1 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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