Keith Gremban

738 total citations
13 papers, 437 citations indexed

About

Keith Gremban is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Keith Gremban has authored 13 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Keith Gremban's work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers) and Graph Theory and Algorithms (2 papers). Keith Gremban is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers) and Graph Theory and Algorithms (2 papers). Keith Gremban collaborates with scholars based in United States. Keith Gremban's co-authors include David G. Morgenthaler, M. Marra, Matthew A. Turk, Katsushi Ikeuchi, C. Thorpe, Takeo Kanade, Gary L. Miller, Matthew Turk, Marco Zagha and Shang‐Hua Teng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Combinatorial Optimization.

In The Last Decade

Keith Gremban

11 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Gremban United States	7	337	196	122	41	33	13	437
Norman C. Griswold United States	10	288 0.9×	67 0.3×	60 0.5×	56 1.4×	53 1.6×	35	388
Min-Chul Lee South Korea	12	131 0.4×	70 0.4×	220 1.8×	82 2.0×	47 1.4×	30	463
Boris Sofman United States	8	157 0.5×	143 0.7×	34 0.3×	45 1.1×	78 2.4×	10	280
Michael Darms Germany	8	223 0.7×	123 0.6×	258 2.1×	66 1.6×	81 2.5×	17	471
Jason Derenick United States	8	140 0.4×	98 0.5×	75 0.6×	62 1.5×	29 0.9×	14	324
Tianbo Liu Hong Kong	7	395 1.2×	396 2.0×	34 0.3×	96 2.3×	35 1.1×	15	502
J.K. Rosenblatt United States	8	363 1.1×	217 1.1×	39 0.3×	107 2.6×	167 5.1×	11	517
Lars B. Cremean United States	7	95 0.3×	75 0.4×	83 0.7×	182 4.4×	27 0.8×	8	338
Jeffrey Byrne United States	11	384 1.1×	351 1.8×	25 0.2×	61 1.5×	36 1.1×	19	502

Countries citing papers authored by Keith Gremban

Since Specialization

Citations

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

Fields of papers citing papers by Keith Gremban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Gremban

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

All Works

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13 of 13 papers shown

Curry, James H., et al.. (2023). Modeling and Generation of Realistic Network Activity. 761–766.

Turk, Matthew, David G. Morgenthaler, Keith Gremban, & M. Marra. (2005). Video road-following for the autonomous land vehicle. 4. 273–280. 6 indexed citations

Gremban, Keith, C. Thorpe, & Takeo Kanade. (2003). Geometric camera calibration using systems of linear equations. 562–567. 54 indexed citations

Ikeuchi, Katsushi, et al.. (2002). Minimum cost aspect classification: a module of a vision algorithm compiler. i. 65–69. 3 indexed citations

Gremban, Keith, Gary L. Miller, & Marco Zagha. (2002). Performance evaluation of a new parallel preconditioner. 65–69. 17 indexed citations

Gremban, Keith & Katsushi Ikeuchi. (2002). Planning multiple observations for specular object recognition. 599–604. 4 indexed citations

Gremban, Keith, Gary L. Miller, & Shang‐Hua Teng. (1997). Moments of Inertia and Graph Separators. Journal of Combinatorial Optimization. 1(1). 79–104. 2 indexed citations

Gremban, Keith, Gary L. Miller, & Shang‐Hua Teng. (1994). Moments of inertia and graph separators. Symposium on Discrete Algorithms. 452–461. 4 indexed citations

Gremban, Keith & Katsushi Ikeuchi. (1994). Planning multiple observations for object recognition. International Journal of Computer Vision. 12(2-3). 137–172. 34 indexed citations

10.

Gremban, Keith & Katsushi Ikeuchi. (1992). Appearance-Based Vision and the Automatic Generation of Object Recognition Programs. Defense Technical Information Center (DTIC). 11 indexed citations

11.

Turk, Matthew A., David G. Morgenthaler, Keith Gremban, & M. Marra. (1988). VITS-a vision system for autonomous land vehicle navigation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(3). 342–361. 277 indexed citations

12.

Gremban, Keith, et al.. (1985). The Autonomous Land Vehicle (ALV) Preliminary Road-Following Demonstration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 579. 336–336. 25 indexed citations

13.

Gremban, Keith, et al.. (1984). Evaluation of automated decisionmaking methodologies and development of an integrated robotic system simulation, appendix B. NASA Technical Reports Server (NASA).

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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