Ariel Felner

163 papers receiving 3.4k citations

Hit Papers

Conflict-based search for optimal multi-agent pathfinding20142026201820222014200400600

Peers

Ariel Felner
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 2.2k
  • Artificial Intelligence 1.9k
  • Computer Networks and Communications 1.4k
  • Industrial and Manufacturing Engineering 522
  • Aerospace Engineering 424
Replace Nathan Sturtevant with:
Nathan Sturtevant Canada
Roni Stern Israel
T. K. Satish Kumar United States
Guni Sharon United States
Daniel Harabor Australia
Ragunathan Rajkumar United States
Gordon Wilfong United States
Yves Deville Belgium
Adi Botea Ireland
John Schulman United States
Ariel Felner relative to Nathan Sturtevant Canada Nathan Sturtevant's profile →
Citations per field
00.5×1.6×
Nathan Sturtevant · 1×
Citations per year

Countries citing papers authored by Ariel Felner

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Felner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Felner

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 2
4
f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search
4
5 23
6 1
7
Monte-Carlo Tree Search using Batch Value of Perfect Information.
3
8
Max is more than min: solving maximization problems with heuristic search
7
9
Target-value search revisited
2
10
Partial domain search tree for constraint-satisfaction problems
0
11
Efficient Search for Transformation-based Inference
11
12 2
13
A* search with inconsistent heuristics
13
14
Canadian traveler problem with remote sensing
18
15
Memory-based heuristics for explicit state spaces
71
16
Mixing search strategies for multi-player games
6
17
Abstraction-Based Heuristics with True Distance Computations
19
18
Learning from multiple heuristics
35
19 52
20
Multiple pattern databases
25

About Ariel Felner

Ariel Felner is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 179 papers that have together received 3.5k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (83 papers), AI-based Problem Solving and Planning (63 papers) and Constraint Satisfaction and Optimization (55 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Computer Networks and Communications (1.4k citations) and Artificial Intelligence (1.9k citations). Ariel Felner has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Roni Stern, Guni Sharon, Nathan Sturtevant, Richard E. Korf, Robert C. Holte, Sven Koenig, Jonathan Schaeffer, Meir Goldenberg, Eli Boyarski and Jiaoyang Li. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research 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.

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