David Beymer

4.0k total citations
56 papers, 2.5k citations indexed

About

David Beymer is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, David Beymer has authored 56 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Artificial Intelligence. Recurrent topics in David Beymer's work include Medical Image Segmentation Techniques (15 papers), Advanced Vision and Imaging (11 papers) and Video Surveillance and Tracking Methods (8 papers). David Beymer is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Advanced Vision and Imaging (11 papers) and Video Surveillance and Tracking Methods (8 papers). David Beymer collaborates with scholars based in United States, Switzerland and India. David Beymer's co-authors include Tomaso Poggio, Jitendra Malik, Benjamin Coifman, Philip F. McLauchlan, Myron Flickner, Tanveer Syeda-Mahmood, Daniel M. Russell, Amnon Shashua, Fei Wang and Ritwik Kumar and has published in prestigious journals such as Science, Communications of the ACM and Transportation Research Part C Emerging Technologies.

In The Last Decade

David Beymer

53 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Beymer United States 20 1.5k 331 267 262 214 56 2.5k
Chao Gou China 25 1.2k 0.8× 785 2.4× 201 0.8× 160 0.6× 219 1.0× 93 2.4k
Dimitrios Makris United Kingdom 25 1.6k 1.0× 620 1.9× 65 0.2× 161 0.6× 79 0.4× 97 2.3k
Tolga Soyata United States 32 488 0.3× 793 2.4× 200 0.7× 51 0.2× 70 0.3× 59 3.6k
Marco Anisetti Italy 22 1.2k 0.8× 378 1.1× 57 0.2× 504 1.9× 49 0.2× 118 2.4k
Mohammad R. Khosravi Iran 34 882 0.6× 1.1k 3.2× 123 0.5× 40 0.2× 90 0.4× 163 4.0k
Yu‐Chee Tseng Taiwan 44 1.0k 0.7× 310 0.9× 140 0.5× 66 0.3× 32 0.1× 312 9.6k
Md. Abdur Rahman Saudi Arabia 24 466 0.3× 704 2.1× 46 0.2× 142 0.5× 248 1.2× 149 2.7k
Alois Ferscha Austria 25 1.2k 0.8× 452 1.4× 115 0.4× 443 1.7× 20 0.1× 204 2.8k
Zhi Liu China 36 1.1k 0.7× 774 2.3× 225 0.8× 87 0.3× 46 0.2× 300 5.1k
Linghe Kong China 40 688 0.5× 832 2.5× 454 1.7× 88 0.3× 34 0.2× 258 6.0k

Countries citing papers authored by David Beymer

Since Specialization
Citations

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

Fields of papers citing papers by David Beymer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Beymer

This figure shows the co-authorship network connecting the top 25 collaborators of David Beymer. A scholar is included among the top collaborators of David Beymer 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 David Beymer. David Beymer 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.
Mackin, Charles, et al.. (2024). Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization. 1–10. 2 indexed citations
2.
Vijayaraghavan, Prashanth, et al.. (2024). VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation. 1–6. 4 indexed citations
4.
Vijayaraghavan, Prashanth, et al.. (2024). Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. 491–502.
5.
Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(6). 100269–100269. 38 indexed citations
6.
Shi, Luyao, et al.. (2020). Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study. 743–754. 2 indexed citations
7.
Conjeti, Sailesh, Amin Katouzian, Anees Kazi, et al.. (2016). Metric hashing forests. Medical Image Analysis. 34. 13–29. 12 indexed citations
8.
Compas, Colin B., Tanveer Syeda-Mahmood, Patrick McNeillie, & David Beymer. (2014). Automatic detection of coronary stenosis in X-ray angiography through spatio-temporal tracking. 1299–1302. 15 indexed citations
9.
Haritaoglu, I., Myron Flickner, & David Beymer. (2013). Video-CRM: understanding customer behaviors in stores. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8663. 86630Y–86630Y. 1 indexed citations
10.
Syeda-Mahmood, Tanveer, Fei Wang, Ravi A. Kumar, et al.. (2012). Finding Similar 2D X-Ray Coronary Angiograms. Lecture notes in computer science. 15(Pt 3). 501–508. 8 indexed citations
11.
Kumar, Ritwik, Fei Wang, David Beymer, & Tanveer Syeda-Mahmood. (2010). Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features. 9 indexed citations
12.
Wang, Fei, Tanveer Syeda-Mahmood, Baba C. Vemuri, David Beymer, & Anand Rangarajan. (2009). Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. Lecture notes in computer science. 12(Pt 1). 648–655. 24 indexed citations
13.
Syeda-Mahmood, Tanveer, David Beymer, & Arnon Amir. (2009). Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support. 8. 1290–1294. 5 indexed citations
14.
Beymer, David, et al.. (2008). Inferring transducer viewpoints in cardiac echo videos. 2. 117–120.
15.
Syeda-Mahmood, Tanveer, et al.. (2007). Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos. Lecture notes in computer science. 10(Pt 1). 261–269. 16 indexed citations
16.
Syeda-Mahmood, Tanveer, David Beymer, & Fei Wang. (2007). Shape-based Matching of ECG Recordings. Conference proceedings. 2007. 2012–2018. 44 indexed citations
17.
Haritaoglu, I., Myron Flickner, & David Beymer. (2003). How to Track What People Do. Communications of the ACM. 46(3). 36. 3 indexed citations
18.
Beymer, David. (1999). Real-Time Tracking of Multiple People Using Continuous Detection. 87 indexed citations
19.
Coifman, Benjamin, David Beymer, Philip F. McLauchlan, & Jitendra Malik. (1998). A real-time computer vision system for vehicle tracking and traffic surveillance. Transportation Research Part C Emerging Technologies. 6(4). 271–288. 437 indexed citations
20.
Beymer, David & Jitendra Malik. (1997). <title>Tracking vehicles in congested traffic</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2902. 8–18. 4 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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