Akihiro Kishimoto

2.0k citations
82 papers · 984 indexed · h-index 17

Akihiro Kishimoto

72 papers receiving 909 citations

Peers

Akihiro Kishimoto
Comparison fields: 5 of 119
  • Artificial Intelligence 498
  • Fluid Flow and Transfer Processes 66
  • Computer Vision and Pattern Recognition 140
  • Computer Networks and Communications 117
  • Developmental and Educational Psychology 59
Replace Mihai Rotaru with:
Mihai Rotaru Singapore
Lothar M. Schmitt Japan
Nobuyuki Shimizu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Akihiro Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Akihiro Kishimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Akihiro Kishimoto Line = papers co-authored together Akihiro Kishimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20231
3 20231
4 202320
5 20227
6 20206
7
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
201913
8
Validity of a LES/flamelet approach to a transcritical O2/H2 jet flame
20171
9
Parallel recursive best-first AND/OR search for exact MAP inference in graphical models
20150
10
Recursive best-first AND/OR search for optimization in graphical models
20145
11 201225
12 20119
13 20089
14 200718
15 200610
16
Solving checkers
200522
17
Search versus knowledge for solving life and death problems in Go
200513
18
Dynamic Decomposition Search: A Divide and Conquer Approach and its Application to the One-Eye Problem in Go.
20053
19 20059
20
A general solution to the graph history interaction problem
200420

About Akihiro Kishimoto

Akihiro Kishimoto is a scholar working on Fluid Flow and Transfer Processes, Artificial Intelligence and Computer Networks and Communications, having authored 82 papers that have together received 984 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (20 papers), AI-based Problem Solving and Planning (11 papers), Molten salt chemistry and electrochemical processes (9 papers), Constraint Satisfaction and Optimization (7 papers), Robotic Path Planning Algorithms (7 papers), Machine Learning and Algorithms (6 papers), Digital Games and Media (6 papers) and Optimization and Search Problems (6 papers). The work is most often cited by research in Artificial Intelligence (498 citations), Fluid Flow and Transfer Processes (66 citations) and Computer Vision and Pattern Recognition (140 citations). Akihiro Kishimoto has collaborated with scholars based in Japan, Ireland and Canada. Frequent co-authors include Martin Müller, Jonathan Schaeffer, Adi Botea, Yngvi Björnsson, Tetsuya Uda, Steve Sutphen, Neil Burch, Robert W. Lake, Paul Lu and Alex Fukunaga. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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