Adi Botea

73 papers receiving 1.3k citations

Peers

Adi Botea
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 612
  • Software 92
  • Artificial Intelligence 758
  • Computer Graphics and Computer-Aided Design 66
  • Signal Processing 193
Replace Lantao Yu with:
Lantao Yu United States
Nathan Sturtevant Canada
Eric Schkufza United States
Solomon Eyal Shimony Israel
Youssef Hamadi United Kingdom
Boris V. Cherkassky Russia
Milind Kulkarni United States
Lucas C. K. Hui Hong Kong
Mohamed Mosbah France
Gen-Huey Chen Taiwan
Adi Botea relative to Lantao Yu United States Lantao Yu's profile →
Citations per field
00.5×3.7×
Lantao Yu · 1×
Citations per year

Countries citing papers authored by Adi Botea

Since Specialization
Citations

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

Fields of papers citing papers by Adi Botea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Adi Botea, 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 Adi Botea Line = papers co-authored together Adi Botea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Near Optimal Hierarchical Path-Finding.
2004239
2
Domain-independent construction of pattern database heuristics for cost-optimal planning
2007135
3 2005109
4 2014100
5
Fast and memory-efficient multi-agent pathfinding
200874
6
Tractable multi-agent path planning on grid maps
200943
7 201242
8 201139
9 200832
10 202131
11 200929
12 201328
13 201225
14 201324
15 200823
16 201020
17 201520
18 201518
19 201318
20 202115

About Adi Botea

Adi Botea is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing and Information Systems, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (23 papers), Artificial Intelligence in Games (20 papers), AI-based Problem Solving and Planning (19 papers), Data Management and Algorithms (18 papers), Constraint Satisfaction and Optimization (15 papers), Algorithms and Data Compression (9 papers), Optimization and Search Problems (7 papers) and Logic, Reasoning, and Knowledge (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (612 citations), Software (92 citations), Artificial Intelligence (758 citations), Computer Graphics and Computer-Aided Design (66 citations) and Signal Processing (193 citations). Adi Botea has collaborated with scholars based in Ireland, Australia and United States. Frequent co-authors include Jonathan Schaeffer, Martin Müller, Daniel Harabor, Sven Koenig, Akihiro Kishimoto, Patrik Haslum, Malte Helmert, Blai Bonet, Michael Mueller and Alex Fukunaga. Their work appears in journals such as Journal of Artificial Intelligence Research, IEEE Transactions on Computational Intelligence and AI in Games, Proceedings of the ACM on Human-Computer Interaction, Artificial Intelligence and AI Magazine.

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.

Explore authors with similar magnitude of impact