Mark R. Luettgen
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Computer Networks and Communications
- Co-authors
- Alan S. WillskyW.C. KarlDavid ReillyJeffrey H. ShapiroRobert R. TenneyStefano CoraluppiCraig CarthelSusan V. Lynch
- Topics
- Image and Signal Denoising Methods (5 papers)Medical Image Segmentation Techniques (5 papers)Distributed Sensor Networks and Detection Algorithms (3 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United States
In The Last Decade
Mark R. Luettgen
12 papers receiving 454 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 204
- Electrical and Electronic Engineering 162
- Artificial Intelligence 130
- Aerospace Engineering 93
- Computer Networks and Communications 43
Countries citing papers authored by Mark R. Luettgen
This map shows the geographic impact of Mark R. Luettgen'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 Mark R. Luettgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Luettgen more than expected).
Fields of papers citing papers by Mark R. Luettgen
This network shows the impact of papers produced by Mark R. Luettgen. 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 Mark R. Luettgen. The network helps show where Mark R. Luettgen may publish in the future.
Co-authorship network of co-authors of Mark R. Luettgen
This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Luettgen. A scholar is included among the top collaborators of Mark R. Luettgen 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 Mark R. Luettgen. Mark R. Luettgen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributed MHT with active and passive sensors | 7 |
| 2 | 0 | |
| 3 | 2 | |
| 4 | All-Source Track and Identity Fusion | 31 |
| 5 | 5 | |
| 6 | 47 | |
| 7 | 26 | |
| 8 | 93 | |
| 9 | 2 | |
| 10 | 128 | |
| 11 | Optical flow computation via multiscale regularization | 1 |
| 12 | 158 | |
| 13 | 15 |
About Mark R. Luettgen
Mark R. Luettgen is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Bioengineering, having authored 13 papers that have together received 515 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Medical Image Segmentation Techniques (5 papers) and Distributed Sensor Networks and Detection Algorithms (3 papers). The work is most often cited by research in Instrumentation (41 citations), Computer Vision and Pattern Recognition (204 citations) and Media Technology (43 citations). Mark R. Luettgen has collaborated with scholars based in United States. Frequent co-authors include Alan S. Willsky, W.C. Karl, David Reilly, Jeffrey H. Shapiro, Robert R. Tenney, Stefano Coraluppi, Craig Carthel, Susan V. Lynch, H.S. Malvar and Mark R. Stevens. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.