Michael Seibert

940 total citations
28 papers, 700 citations indexed

About

Michael Seibert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Michael Seibert has authored 28 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Michael Seibert's work include Neural Networks and Applications (5 papers), Advanced Vision and Imaging (5 papers) and Maritime Navigation and Safety (5 papers). Michael Seibert is often cited by papers focused on Neural Networks and Applications (5 papers), Advanced Vision and Imaging (5 papers) and Maritime Navigation and Safety (5 papers). Michael Seibert collaborates with scholars based in United States, Sweden and Canada. Michael Seibert's co-authors include Allen M. Waxman, Neil A. Bomberger, Bradley J. Rhodes, Alan N. Gove, David A. Fay, Joseph P. Racamato, E. D. Savoye, Dan E. Dudgeon, Michael D. Beynon and Robert K. Cunningham and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Neural Networks.

In The Last Decade

Michael Seibert

27 papers receiving 611 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 Seibert United States 13 302 229 175 152 144 28 700
R. Bajcsy United States 9 436 1.4× 129 0.6× 236 1.3× 66 0.4× 24 0.2× 19 810
Jan‐Olof Eklundh Sweden 21 955 3.2× 148 0.6× 263 1.5× 194 1.3× 17 0.1× 70 1.3k
Ki-Sang Hong South Korea 17 778 2.6× 75 0.3× 117 0.7× 240 1.6× 121 0.8× 57 1000
Xiaojun Wu China 14 286 0.9× 132 0.6× 27 0.2× 108 0.7× 61 0.4× 105 794
Shaohai Hu China 16 417 1.4× 56 0.2× 186 1.1× 350 2.3× 29 0.2× 95 780
Rui Lü China 12 388 1.3× 167 0.7× 49 0.3× 88 0.6× 23 0.2× 40 722
Yvan G. Leclerc United States 9 637 2.1× 70 0.3× 120 0.7× 85 0.6× 48 0.3× 19 974
Yair Barniv United States 8 124 0.4× 350 1.5× 371 2.1× 66 0.4× 27 0.2× 19 633
Yikui Zhai China 15 354 1.2× 144 0.6× 122 0.7× 54 0.4× 49 0.3× 103 698
Yizeng Han China 12 559 1.9× 361 1.6× 80 0.5× 113 0.7× 20 0.1× 22 1.0k

Countries citing papers authored by Michael Seibert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Seibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Seibert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Seibert. A scholar is included among the top collaborators of Michael Seibert 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 Seibert. Michael Seibert 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.
Rhodes, Bradley J., et al.. (2009). Automated activity pattern learning and monitoring provide decision support to supervisors of busy environments. Intelligent Decision Technologies. 3(1). 59–74. 2 indexed citations
2.
Rhodes, Bradley J., et al.. (2007). SeeCoast: persistent surveillance and automated scene understanding for ports and coastal areas. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6578. 65781M–65781M. 12 indexed citations
3.
Rhodes, Bradley J., Neil A. Bomberger, Michael Seibert, & Allen M. Waxman. (2006). Maritime Situation Monitoring and Awareness Using Learning Mechanisms. 1. 1–7. 66 indexed citations
4.
Rhodes, Bradley J., Neil A. Bomberger, Michael Seibert, & Allen M. Waxman. (2006). SeeCoast: Automated Port Scene Understanding Facilitated by Normalcy Learning. 1. 1–7. 15 indexed citations
5.
Bomberger, Neil A., Bradley J. Rhodes, Michael Seibert, & Allen M. Waxman. (2006). Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness. 1–8. 83 indexed citations
6.
Waxman, Allen M., Jian Wu, & Michael Seibert. (2003). Computing visual motion in the short and the long: from receptive fields to neural networks. 3. 156–164.
7.
Reilly, J.P., et al.. (2002). The decomposition of large problems using single-sided subbanding. 1. 588–591. 1 indexed citations
8.
Waxman, Allen M., et al.. (1998). Visual processing of object form and environment layout. MIT Press eBooks. 1021–1024. 2 indexed citations
9.
Waxman, Allen M., Alan N. Gove, David A. Fay, et al.. (1997). Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery. Neural Networks. 10(1). 1–6. 106 indexed citations
10.
Seibert, Michael, Allen M. Waxman, & Alan N. Gove. (1995). <title>Learning to distinguish similar objects</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2492. 600–611. 2 indexed citations
11.
Waxman, Allen M., David A. Fay, Alan N. Gove, et al.. (1995). <title>Color night vision: fusion of intensified visible and thermal IR imagery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2463. 58–68. 48 indexed citations
12.
Seibert, Michael & Allen M. Waxman. (1992). Adaptive 3-D object recognition from multiple views. IEEE Transactions on Pattern Analysis and Machine Intelligence. 14(2). 107–124. 118 indexed citations
13.
Seibert, Michael & Allen M. Waxman. (1992). <title>Recognizing faces from their parts</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1611. 129–140. 3 indexed citations
14.
Seibert, Michael & Allen M. Waxman. (1992). <title>Combining evidence from multiple views of 3-D objects</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1611. 178–189. 5 indexed citations
15.
Lacoss, Richard T., et al.. (1991). Artificial Neural Networks for Seismic Data Interpretation. Defense Technical Information Center (DTIC). 1 indexed citations
16.
Seibert, Michael. (1991). Neural networks for machine vision: learning three-dimensional object representations. 5 indexed citations
17.
Seibert, Michael & Allen M. Waxman. (1991). <title>Aspect networks: using multiple views to learn and recognize 3-D objects</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1383. 10–19. 2 indexed citations
18.
Seibert, Michael & Allen M. Waxman. (1989). Learning Aspect Graph Representations from View Sequences. Neural Information Processing Systems. 2. 258–265. 21 indexed citations
19.
Waxman, Allen M., Michael Seibert, Robert K. Cunningham, & Jian Wu. (1988). Neural Analog Diffusion-Enhancement Layer and Spatio-Temporal Grouping in Early Vision. Neural Information Processing Systems. 1. 289–296. 6 indexed citations
20.
Waxman, Allen M., et al.. (1988). The Neural Analog Diffusion-Enhancement Layer (NADEL) And Early Visual Processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 1093–1093. 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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