Alex Nash

652 citations
9 papers · 485 · h-index 7

Impact in

Papers in

Journals
AI Magazine (1 paper)Journal of Graph Theory (1 paper)Artificial Intelligence (1 paper)Scholarly Commons (University of Pennsylvania) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)

In The Last Decade

Alex Nash

8 papers receiving 464 citations

Peers

Alex Nash
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 428
  • Computer Graphics and Computer-Aided Design 59
  • Aerospace Engineering 267
  • Control and Systems Engineering 106
  • Ocean Engineering 64
Replace Oren Salzman with:
Oren Salzman Israel
Priyadarshi Bhattacharya Canada
Tansel Uras United States
Lucia K. Dale United States
Chad Goerzen United States
Kiril Solovey Israel
Venkatraman Narayanan United States
Yoav Gabriely Israel
Ryan Luna United States
Alex Nash relative to Oren Salzman Israel Oren Salzman's profile →
Citations per field
00.5×3.0×
Oren Salzman · 1×
Citations per year

Countries citing papers authored by Alex Nash

Since Specialization
Citations

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

Fields of papers citing papers by Alex Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Alex Nash, 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 Alex Nash Line = papers co-authored together Alex Nash links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Theta*: any-angle path planning on grids
2007167
2 2010104
3 201385
4 201055
5
Incremental Phi*: incremental any-angle path planning on grids
200941
6 202124
7 20158
8 20201
9 20240

About Alex Nash

Alex Nash is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Computer Networks and Communications and Signal Processing, having authored 9 papers that have together received 485 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Computational Geometry and Mesh Generation (6 papers), Robotics and Sensor-Based Localization (3 papers), Data Management and Algorithms (2 papers), Optimization and Search Problems (2 papers), Artificial Intelligence in Games (1 paper), Limits and Structures in Graph Theory (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (428 citations), Computer Graphics and Computer-Aided Design (59 citations), Aerospace Engineering (267 citations), Control and Systems Engineering (106 citations) and Ocean Engineering (64 citations). Alex Nash has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Sven Koenig, Craig A. Tovey, Kenny Daniel, Maxim Likhachev, James P. Bailey and Tansel Uras. Their work appears in journals such as AI Magazine, Journal of Graph Theory, Artificial Intelligence, Scholarly Commons (University of Pennsylvania) and Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment.

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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