Margrit Betke

8.5k total citations
180 papers, 5.5k citations indexed

About

Margrit Betke is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Margrit Betke has authored 180 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 43 papers in Human-Computer Interaction and 34 papers in Cognitive Neuroscience. Recurrent topics in Margrit Betke's work include Gaze Tracking and Assistive Technology (35 papers), Tactile and Sensory Interactions (25 papers) and Advanced Vision and Imaging (23 papers). Margrit Betke is often cited by papers focused on Gaze Tracking and Assistive Technology (35 papers), Tactile and Sensory Interactions (25 papers) and Advanced Vision and Imaging (23 papers). Margrit Betke collaborates with scholars based in United States, Egypt and Italy. Margrit Betke's co-authors include James Gips, Leonid Gurvits, Zheng Wu, Jane P. Ko, Thomas Kunz, Paul Fleming, Larry S. Davis, Stan Sclaroff, Nickolay I. Hristov and Kristen Grauman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Margrit Betke

176 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margrit Betke United States 39 2.0k 1.2k 835 717 698 180 5.5k
Yoshihiko Nakamura Japan 58 3.8k 1.9× 422 0.4× 187 0.2× 959 1.3× 647 0.9× 597 14.4k
David H. Laidlaw United States 42 2.3k 1.2× 745 0.6× 1.4k 1.7× 318 0.4× 707 1.0× 194 6.0k
Rafael C. González Spain 20 4.3k 2.2× 157 0.1× 726 0.9× 1.1k 1.5× 183 0.3× 73 9.5k
Richard E. Woods Australia 16 2.9k 1.4× 90 0.1× 542 0.6× 667 0.9× 121 0.2× 21 6.3k
Linda G. Shapiro United States 38 6.7k 3.4× 173 0.1× 931 1.1× 2.0k 2.8× 241 0.3× 272 11.1k
T.F. Cootes United Kingdom 53 14.1k 7.1× 740 0.6× 1.7k 2.1× 1.7k 2.4× 630 0.9× 257 19.1k
Paolo Cignoni Italy 44 3.6k 1.8× 256 0.2× 162 0.2× 149 0.2× 151 0.2× 197 9.0k
Simon Baker United States 48 14.4k 7.2× 460 0.4× 255 0.3× 1.2k 1.6× 342 0.5× 203 17.6k
Lior Wolf Israel 47 9.9k 4.9× 363 0.3× 574 0.7× 3.3k 4.6× 1.0k 1.4× 208 14.1k
Javaan Chahl Australia 35 1.4k 0.7× 387 0.3× 132 0.2× 218 0.3× 320 0.5× 205 4.2k

Countries citing papers authored by Margrit Betke

Since Specialization
Citations

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

Fields of papers citing papers by Margrit Betke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margrit Betke

This figure shows the co-authorship network connecting the top 25 collaborators of Margrit Betke. A scholar is included among the top collaborators of Margrit Betke 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 Margrit Betke. Margrit Betke 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.
Thompson‬‬, Russell G., Jason Li, Ilse Castro-Aragon, et al.. (2024). FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings. Computers in Biology and Medicine. 180. 109014–109014. 2 indexed citations
2.
3.
Betke, Margrit, et al.. (2024). Generative adversarial networks for handwriting image generation: a review. The Visual Computer. 41(4). 2299–2322. 3 indexed citations
4.
Thompson‬‬, Russell G., Jason Li, Rachel Pieciak, et al.. (2023). Effectiveness of transferring ultrasound deep learning models from adults to pediatrics for frame based pneumonia classification. The Journal of the Acoustical Society of America. 153(3_supplement). A189–A189.
5.
Murray, Tom, John Magee, Ivon Arroyo, et al.. (2023). COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor. OpenBU (Boston University). 6152–6160. 2 indexed citations
6.
Ruiz, Nataniel, Tom Murray, John Magee, et al.. (2022). ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. IEEE Transactions on Biometrics Behavior and Identity Science. 5(3). 411–424. 8 indexed citations
7.
Zheng, Yi, Clarissa A. Cassol, Vipul C. Chitalia, et al.. (2021). Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies. American Journal Of Pathology. 191(8). 1442–1453. 31 indexed citations
8.
Гуо, Лэй, et al.. (2020). Multi-Label and Multilingual News Framing Analysis. 8614–8624. 27 indexed citations
9.
Magee, John, Jacob Whitehill, Ivon Arroyo, et al.. (2019). Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. Clark Digital Commons (Clark University). 1–5. 11 indexed citations
10.
Betke, Margrit & Zheng Wu. (2016). Data Association for Multi-Object Visual Tracking. 6(2). 1–120. 7 indexed citations
11.
Gurari, Danna, Mehrnoosh Sameki, & Margrit Betke. (2016). Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 4. 59–68. 9 indexed citations
12.
Wu, Zheng, et al.. (2014). A Thermal Infrared Video Benchmark for Visual Analysis. 201–208. 133 indexed citations
13.
Betke, Margrit, Nicholas C. Makris, Gary F. McCracken, et al.. (2008). Thermal imaging reveals smaller Brazilian free-tailed bat colonies than previously estimated. Journal of Mammalogy. 89(1). 1 indexed citations
14.
Hallam, Thomas G., Gary F. McCracken, S. Thomas Purucker, et al.. (2008). Brazilian free-tailed bats (Tadarida brasiliensis) as insect pest regulators in transgenic and conventional cotton crops. Ecological Applications. 18(4). 1 indexed citations
15.
Betke, Margrit, Nicholas C. Makris, Gary F. McCracken, et al.. (2008). Thermal Imaging Reveals Significantly Smaller Brazilian Free-Tailed Bat Colonies Than Previously Estimated. Journal of Mammalogy. 89(1). 18–24. 117 indexed citations
16.
Hristov, Nickolay I., Margrit Betke, & Thomas Kunz. (2008). Applications of thermal infrared imaging for research in aeroecology. Integrative and Comparative Biology. 48(1). 50–59. 68 indexed citations
17.
Betke, Margrit, et al.. (2003). Counting Fingers in Real Time: A Webcam-Based Human- Computer Interface with Game Applications. 50(3). 423–9. 12 indexed citations
18.
Betke, Margrit, James Gips, & Paul Fleming. (2002). The Camera Mouse: visual tracking of body features to provide computer access for people with severe disabilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 10(1). 1–10. 332 indexed citations
19.
Gips, James, Margrit Betke, & Peter J. S. Fleming. (2000). THE CAMERA MOUSE: PRELIMINARY INVESTIGATION OF AUTOMATED VISUAL TRACKING FOR COMPUTER ACCESS. 22 indexed citations
20.
Awerbuch, Baruch, et al.. (1999). Piecemeal Graph Exploration by a Mobile Robot. Information and Computation. 152(2). 155–172. 49 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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