Matthew A. Turk

10 total papers · 422 total citations
5 papers, 298 citations indexed

About

Matthew A. Turk is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Matthew A. Turk has authored 5 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 1 paper in Control and Systems Engineering. Recurrent topics in Matthew A. Turk's work include Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Biometric Identification and Security (1 paper). Matthew A. Turk is often cited by papers focused on Robotic Path Planning Algorithms (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Biometric Identification and Security (1 paper). Matthew A. Turk collaborates with scholars based in United States, Mexico and Bangladesh. Matthew A. Turk's co-authors include David G. Morgenthaler, M. Marra, Keith Gremban, Yun Fu, Can Qin, Joseph P. Robinson, Rama Chellappa, Ming Shao, Yu Yin and Siyu Xia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Matthew A. Turk

5 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Matthew A. Turk	247	141	107	35	25	5	298
M. Herbert	166 0.7×	158 1.1×	64 0.6×	37 1.1×	25 1.0×	8	251
Felix Nobis	192 0.8×	148 1.0×	111 1.0×	26 0.7×	36 1.4×	8	344
Alexander D. Stewart	203 0.8×	189 1.3×	69 0.6×	47 1.3×	18 0.7×	5	281
Zhenglong Guo	186 0.8×	83 0.6×	89 0.8×	26 0.7×	30 1.2×	6	287
Zebang Yang	180 0.7×	78 0.6×	89 0.8×	25 0.7×	30 1.2×	5	277
Nikolai Smolyanskiy	162 0.7×	73 0.5×	44 0.4×	21 0.6×	16 0.6×	7	263
Jason Ziglar	173 0.7×	106 0.8×	91 0.9×	48 1.4×	29 1.2×	11	299
Mirko Felisa	281 1.1×	96 0.7×	114 1.1×	25 0.7×	33 1.3×	13	345
R. Omar Chavéz-García	193 0.8×	133 0.9×	100 0.9×	46 1.3×	85 3.4×	9	350
Boris Sofman	167 0.7×	154 1.1×	37 0.3×	45 1.3×	81 3.2×	10	296

Countries citing papers authored by Matthew A. Turk

Since Specialization

Citations

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

Fields of papers citing papers by Matthew A. Turk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Turk. 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 Matthew A. Turk. The network helps show where Matthew A. Turk may publish in the future.

Co-authorship network of co-authors of Matthew A. Turk

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

All Works

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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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