Pamela C. Cosman

9.3k total citations · 2 hit papers
289 papers, 6.5k citations indexed

About

Pamela C. Cosman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Pamela C. Cosman has authored 289 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Computer Vision and Pattern Recognition, 97 papers in Signal Processing and 88 papers in Electrical and Electronic Engineering. Recurrent topics in Pamela C. Cosman's work include Advanced Data Compression Techniques (111 papers), Video Coding and Compression Technologies (89 papers) and Image and Video Quality Assessment (58 papers). Pamela C. Cosman is often cited by papers focused on Advanced Data Compression Techniques (111 papers), Video Coding and Compression Technologies (89 papers) and Image and Video Quality Assessment (58 papers). Pamela C. Cosman collaborates with scholars based in United States, China and South Korea. Pamela C. Cosman's co-authors include Yan‐Tsung Peng, L.B. Milstein, Keming Cao, Seok‐Ho Chang, Robert M. Gray, Ivana Medvedec Mikić, Mohan M. Trivedi, Geoffrey M. Voelker, Song Cen and William R Schafer and has published in prestigious journals such as Science, PLoS ONE and Development.

In The Last Decade

Pamela C. Cosman

273 papers receiving 6.2k citations

Hit Papers

Underwater Image Restoration Based on Image Blurriness an... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela C. Cosman United States 37 4.1k 1.4k 1.3k 1.1k 1.0k 289 6.5k
Andrew Blake United Kingdom 33 5.5k 1.3× 492 0.4× 119 0.1× 319 0.3× 545 0.5× 88 7.6k
Joe Warren United States 34 1.5k 0.4× 239 0.2× 852 0.6× 504 0.4× 60 0.1× 94 7.2k
Chia‐Wen Lin Taiwan 47 6.7k 1.6× 446 0.3× 346 0.3× 1.1k 0.9× 1.8k 1.8× 262 8.2k
Xiaojiang Chen China 32 821 0.2× 1.4k 1.0× 791 0.6× 595 0.5× 211 0.2× 191 3.9k
Hairong Qi United States 46 2.6k 0.6× 1.3k 0.9× 2.3k 1.8× 461 0.4× 2.6k 2.6× 245 9.0k
Guiguang Ding China 51 7.5k 1.8× 444 0.3× 291 0.2× 504 0.4× 1.0k 1.0× 187 11.8k
Kannappan Palaniappan United States 34 2.6k 0.6× 152 0.1× 278 0.2× 194 0.2× 603 0.6× 237 4.8k
Chang Wen Chen United States 45 5.0k 1.2× 2.3k 1.6× 2.2k 1.7× 1.6k 1.4× 1.1k 1.1× 528 9.0k
Dan Schonfeld United States 26 1.8k 0.4× 252 0.2× 163 0.1× 376 0.3× 299 0.3× 207 2.7k
Feng Wu China 41 3.2k 0.8× 1.2k 0.9× 1.1k 0.8× 523 0.5× 1.2k 1.2× 214 5.9k

Countries citing papers authored by Pamela C. Cosman

Since Specialization
Citations

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

Fields of papers citing papers by Pamela C. Cosman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela C. Cosman. 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 Pamela C. Cosman. The network helps show where Pamela C. Cosman may publish in the future.

Co-authorship network of co-authors of Pamela C. Cosman

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela C. Cosman. A scholar is included among the top collaborators of Pamela C. Cosman 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 Pamela C. Cosman. Pamela C. Cosman 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.
Cosman, Pamela C., et al.. (2025). (LiFT) Lightweight Fitness Transformer: A language-vision model for Remote Monitoring of Physical Training. Smart Health. 38. 100610–100610.
2.
Cohen, Shana, et al.. (2024). Virtual reality interview with feedback framework for situational practice of gaze among autistic adults. Research in autism spectrum disorders. 118. 102494–102494. 4 indexed citations
3.
Cosman, Pamela C., et al.. (2024). Redshirt in Engineering: A Model for Improving Equity and Inclusion. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
4.
Schachar, Ronald A., et al.. (2024). Model of zonular forces on the lens capsule during accommodation. Scientific Reports. 14(1). 5896–5896. 6 indexed citations
5.
Milstein, L.B., et al.. (2024). Performance Analysis for Underwater Video Transmission with Imperfect Resampling. 31. 1–9. 1 indexed citations
6.
Cosman, Pamela C., et al.. (2024). Slippage-robust linear features for eye tracking. Expert Systems with Applications. 264. 125799–125799. 1 indexed citations
7.
Blair‐Loy, Mary, et al.. (2024). Steering Women out of Engineering: Career Assessment Tools as a Technology of Self‐Expressive Segregation. Sociological Inquiry. 94(4). 830–853.
8.
Hong, Fan, et al.. (2018). High-Speed Railway Fastener Detection Based on a Line Local Binary Pattern. IEEE Signal Processing Letters. 25(6). 788–792. 64 indexed citations
9.
Blair‐Loy, Mary, et al.. (2017). Gender in Engineering Departments: Are There Gender Differences in Interruptions of Academic Job Talks?. Social Sciences. 6(1). 29–29. 34 indexed citations
10.
Cosman, Pamela C., et al.. (2014). Joint Source-Channel Coding and Unequal Error Protection for Video Plus Depth. IEEE Signal Processing Letters. 22(1). 31–34. 18 indexed citations
11.
Dejima, Katsufumi, et al.. (2014). Syndecan defines precise spindle orientation by modulating Wnt signaling in C. elegans. Development. 141(22). 4354–4365. 20 indexed citations
12.
Cosman, Pamela C., et al.. (2014). Spoofing and jamming optimization over Rayleigh fading channels of a cognitive radio adversary. IEEE Transactions on Communications.
13.
Cosman, Pamela C., et al.. (2009). Multiple Reference Motion Compensation: A Tutorial Introduction and Survey.. 2(4). 247–364. 5 indexed citations
14.
Geng, Wei, Pamela C. Cosman, Joong-Hwan Baek, Charles C. Berry, & William R Schafer. (2003). Image Features and Natural Clustering of Worm Body Shapes and Motion.. 342–347. 3 indexed citations
15.
Geng, Wei, Pamela C. Cosman, Joong-Hwan Baek, Charles C. Berry, & William R Schafer. (2003). Quantitative Classification and Natural Clustering of C. elegans Behavioral Phenotypes. eScholarship (California Digital Library). 12 indexed citations
16.
Cosman, Pamela C., et al.. (2003). Detection and identification of sardine eggs at sea using a machine vision system. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 175 Vol.1–175. 4 indexed citations
17.
Chen, CW, et al.. (2000). Error-resilient image and video transmission. Cambridge University Engineering Department Publications Database. 6 indexed citations
18.
Cosman, Pamela C., et al.. (1998). Medical image compression and vector quantization. Statistical Science. 13(1). 10 indexed citations
19.
Cosman, Pamela C., Robert M. Gray, & Martin Vetterli. (1996). Vector quantization of image subbands: a survey. IEEE Transactions on Image Processing. 5(2). 202–225. 121 indexed citations
20.
Gray, Robert M., Pamela C. Cosman, & K.L. Oehler. (1993). Incorporating visual factors into vector quantizers for image compression. MIT Press eBooks. 35–52. 8 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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