Ercan U. Acar

770 total citations
7 papers, 584 citations indexed

About

Ercan U. Acar is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Ercan U. Acar has authored 7 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Ercan U. Acar's work include Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Ercan U. Acar is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Ercan U. Acar collaborates with scholars based in United States. Ercan U. Acar's co-authors include Howie Choset, Alfred A. Rizzi, P.N. Atkar, Yangang Zhang, Mark J. Schervish and Jonathan Luntz and has published in prestigious journals such as The International Journal of Robotics Research, International Conference on Robotics and Automation and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Ercan U. Acar

7 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ercan U. Acar United States	6	492	322	160	106	106	7	584
Yoav Gabriely Israel	6	547 1.1×	366 1.1×	259 1.6×	116 1.1×	132 1.2×	10	634
Andreas Breitenmoser Switzerland	14	371 0.8×	262 0.8×	312 1.9×	118 1.1×	167 1.6×	25	648
Matthew Turpin United States	9	322 0.7×	252 0.8×	433 2.7×	194 1.8×	106 1.0×	10	608
Priyadarshi Bhattacharya Canada	6	332 0.7×	208 0.6×	56 0.3×	103 1.0×	39 0.4×	10	385
Alex Kushleyev United States	6	433 0.9×	369 1.1×	261 1.6×	194 1.8×	72 0.7×	6	706
Yong K. Hwang United States	4	529 1.1×	272 0.8×	68 0.4×	267 2.5×	77 0.7×	6	620
Iram Noreen Pakistan	10	432 0.9×	268 0.8×	60 0.4×	146 1.4×	43 0.4×	22	525
Alex Nash United States	7	423 0.9×	266 0.8×	70 0.4×	105 1.0×	20 0.2×	9	480
Jeffrey Byrne United States	11	384 0.8×	351 1.1×	80 0.5×	61 0.6×	44 0.4×	19	502
Young‐Ho Choi South Korea	11	299 0.6×	239 0.7×	50 0.3×	95 0.9×	53 0.5×	75	601

Countries citing papers authored by Ercan U. Acar

Since Specialization

Citations

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

Fields of papers citing papers by Ercan U. Acar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ercan U. Acar. 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 Ercan U. Acar. The network helps show where Ercan U. Acar may publish in the future.

Co-authorship network of co-authors of Ercan U. Acar

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

All Works

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7 of 7 papers shown

Acar, Ercan U., Howie Choset, Yangang Zhang, & Mark J. Schervish. (2003). Path Planning for Robotic Demining: Robust Sensor-Based Coverage of Unstructured Environments and Probabilistic Methods. The International Journal of Robotics Research. 22(7-8). 441–466. 171 indexed citations

Acar, Ercan U., Howie Choset, Yangang Zhang, & Mark J. Schervish. (2003). Path Planning for Robotic Demining: Robust Sensor-based Coverage of Unstructured Environments and Probabilistic Methods. The International Journal of Robotics Research. 22(7). 441–466. 6 indexed citations

Acar, Ercan U. & Howie Choset. (2002). Sensor-based Coverage of Unknown Environments: Incremental Construction of Morse Decompositions. The International Journal of Robotics Research. 21(4). 345–366. 127 indexed citations

Acar, Ercan U., et al.. (2002). Morse Decompositions for Coverage Tasks. The International Journal of Robotics Research. 21(4). 331–344. 234 indexed citations

Atkar, P.N., Howie Choset, Alfred A. Rizzi, & Ercan U. Acar. (2001). Exact Cellular Decomposition of Closed Orientable Surfaces Embedded in R3.. International Conference on Robotics and Automation. 699–704. 37 indexed citations

Zhang, Yangang, Mark J. Schervish, Ercan U. Acar, & Howie Choset. (2001). <title>Probabilistic methods for robotic landmine search</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4195. 8–19. 4 indexed citations

Choset, Howie, Ercan U. Acar, Alfred A. Rizzi, & Jonathan Luntz. (2001). <title>Sensor-based planning: exact cellular decompositions in terms of critical points</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4195. 204–215. 5 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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