Michael Shneier

1.8k total citations
60 papers, 1.0k citations indexed

About

Michael Shneier is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Michael Shneier has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 18 papers in Aerospace Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Michael Shneier's work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (10 papers). Michael Shneier is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (10 papers). Michael Shneier collaborates with scholars based in United States, Egypt and United Kingdom. Michael Shneier's co-authors include Tsai Hong Hong, Tommy Chang, Mohamed Abdel-Mottaleb, Tsai-Hong Hong, Raghuraman Gopalan, Rama Chellappa, Ernest W. Kent, Ajit Singh, Ronald Lumia and Christopher Rasmussen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Information Sciences.

In The Last Decade

Michael Shneier

54 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Shneier United States 18 750 254 237 153 119 60 1.0k
Tsai Hong Hong United States 16 580 0.8× 307 1.2× 257 1.1× 111 0.7× 122 1.0× 79 911
Philip F. McLauchlan United Kingdom 14 1.0k 1.4× 333 1.3× 242 1.0× 145 0.9× 51 0.4× 32 1.3k
ZuWhan Kim United States 12 821 1.1× 441 1.7× 428 1.8× 190 1.2× 228 1.9× 22 1.2k
Jinshi Cui China 18 836 1.1× 221 0.9× 125 0.5× 349 2.3× 104 0.9× 63 1.2k
Paolo Grisleri Italy 18 630 0.8× 194 0.8× 483 2.0× 89 0.6× 89 0.7× 27 966
Soeren Kammel Germany 8 505 0.7× 226 0.9× 426 1.8× 174 1.1× 109 0.9× 13 1.1k
Luis E. Navarro‐Serment United States 14 395 0.5× 237 0.9× 137 0.6× 142 0.9× 96 0.8× 25 751
Abdelaziz Bensrhair France 19 946 1.3× 285 1.1× 349 1.5× 122 0.8× 57 0.5× 87 1.2k
Fridtjof Stein Germany 17 750 1.0× 398 1.6× 239 1.0× 41 0.3× 72 0.6× 22 1.0k
Carlos Fernández Spain 17 420 0.6× 153 0.6× 456 1.9× 100 0.7× 109 0.9× 40 1.0k

Countries citing papers authored by Michael Shneier

Since Specialization
Citations

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

Fields of papers citing papers by Michael Shneier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Shneier

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Shneier. A scholar is included among the top collaborators of Michael Shneier 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 Michael Shneier. Michael Shneier 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
1.
Gopalan, Raghuraman, Tsai Hong Hong, Michael Shneier, & Rama Chellappa. (2012). A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Transactions on Intelligent Transportation Systems. 13(3). 1088–1098. 134 indexed citations
2.
Chang, Tommy, et al.. (2008). Dynamic 6DOF metrology for evaluating a visual servoing system. 173–180. 10 indexed citations
3.
Weiss, Brian A., et al.. (2007). Technology Evaluations and Performance Metrics for Soldier-Worn Sensors for ASSIST | NIST. 13 indexed citations
4.
Schlenoff, Craig, et al.. (2006). Overview of the First Advanced Technology Evaluations for ASSIST | NIST. 6 indexed citations
5.
Hong, Tsai Hong, et al.. (2006). Color model-based real-time learning for road following. 939–944. 86 indexed citations
6.
Bostelman, Roger, et al.. (2006). Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program. Journal of Field Robotics. 23(11-12). 975–1003. 17 indexed citations
7.
Hong, Tsai Hong, et al.. (2003). Performance Evaluation of Sensors on Mobile Vehicles Using a Large Data Repository and Ground Truth. 3 indexed citations
8.
Hong, Tsai Hong, Christopher Rasmussen, Tommy Chang, & Michael Shneier. (2002). Fusing Ladar and Color Image Information for Mobile Robot Feature Detection and Tracking. 7. 20 indexed citations
9.
Lytle, Alan M., Kamel Saidi, William C. Stone, & Michael Shneier. (2002). Mobile Robot Pose Tracking for Performance Analysis. 1 indexed citations
10.
Hong, Tsai Hong, Stephen Balakirsky, Elena R. Messina, Tommy Chang, & Michael Shneier. (2002). <title>Hierarchical world model for an autonomous scout vehicle</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4715. 343–354. 15 indexed citations
11.
Chang, Tommy, et al.. (2001). An Intelligent World Model for Autonomous Off-Road Driving. Computer Vision and Image Understanding. 16 indexed citations
12.
Hong, Tsai Hong & Michael Shneier. (1986). Rotation and Translation of Objects Represented by Octrees. Pattern Recognition.
13.
Kent, Ernest W., et al.. (1986). Building representations from fusions of multiple views. 1634–1639. 8 indexed citations
14.
Hong, Tsai-Hong & Michael Shneier. (1985). Describing a Robot's Workspace Using a Sequence of Views from a Moving Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-7(6). 721–726. 49 indexed citations
15.
Hong, Tao & Michael Shneier. (1984). Extracting Compact Objects Using Linked Pyramids. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(2). 229–237. 29 indexed citations
16.
Shneier, Michael. (1983). Using Pyramids to Define Local Thresholds for Blob Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-5(3). 345–349. 23 indexed citations
17.
Shneier, Michael, et al.. (1982). Visual Feedback for Robot Control. 9 indexed citations
18.
Scher, I, Michael Shneier, & Azriel Rosenfeld. (1982). Clustering of collinear line segments. Pattern Recognition. 15(2). 85–91. 16 indexed citations
19.
Albus, James S., et al.. (1982). <title>Six-Dimensional Vision System</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 336. 142–153. 13 indexed citations
20.
Shneier, Michael. (1977). Recognition using semantic constraints. International Joint Conference on Artificial Intelligence. 585–589. 3 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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