Robert Pless

7.6k total citations · 3 hit papers
125 papers, 5.1k citations indexed

About

Robert Pless is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Robert Pless has authored 125 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 13 papers in Aerospace Engineering. Recurrent topics in Robert Pless's work include Advanced Vision and Imaging (31 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Video Surveillance and Tracking Methods (21 papers). Robert Pless is often cited by papers focused on Advanced Vision and Imaging (31 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Video Surveillance and Tracking Methods (21 papers). Robert Pless collaborates with scholars based in United States, Hong Kong and Canada. Robert Pless's co-authors include Guoliang Xing, Chenyang Lu, Qilong Zhang, Xiaorui Wang, Yuanfang Zhang, Christopher Gill, Richard Souvenir, Nathan Jacobs, Qingfeng Huang and Yiannis Aloimonos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and PLoS ONE.

In The Last Decade

Robert Pless

124 papers receiving 4.8k citations

Hit Papers

Integrated coverage and c... 2003 2026 2010 2018 2003 2005 2005 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Pless 1.8k 1.6k 1.1k 716 346 125 5.1k
Xiaojiang Chen 791 0.4× 821 0.5× 1.4k 1.2× 282 0.4× 191 0.6× 191 3.9k
Fumin Zhang 1.4k 0.8× 705 0.4× 575 0.5× 849 1.2× 75 0.2× 364 5.7k
Wenzhong Li 2.9k 1.6× 593 0.4× 1.5k 1.3× 218 0.3× 31 0.1× 221 4.9k
Danny Z. Chen 389 0.2× 1.1k 0.7× 309 0.3× 142 0.2× 116 0.3× 292 4.2k
Yuan Shen 2.3k 1.3× 455 0.3× 5.1k 4.4× 2.2k 3.1× 210 0.6× 292 7.8k
Chia‐Wen Lin 346 0.2× 6.7k 4.2× 446 0.4× 265 0.4× 70 0.2× 262 8.2k
David Kirkpatrick 700 0.4× 1.5k 1.0× 423 0.4× 517 0.7× 12 0.0× 129 4.8k
Alessandro Giusti 328 0.2× 2.1k 1.3× 697 0.6× 660 0.9× 21 0.1× 139 5.2k
Fernand Meyer 613 0.3× 1.8k 1.2× 891 0.8× 144 0.2× 14 0.0× 73 4.5k
Sebastian Scherer 248 0.1× 3.8k 2.4× 448 0.4× 3.2k 4.5× 68 0.2× 202 7.2k

Countries citing papers authored by Robert Pless

Since Specialization
Citations

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

Fields of papers citing papers by Robert Pless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Pless

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Pless. A scholar is included among the top collaborators of Robert Pless 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 Robert Pless. Robert Pless 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
2.
Wierzbowski, Aleksandra, Robert Pless, & Kyla J. Hildebrand. (2023). Summary of the NACI Statement on Public Health Level Recommendations on the Use of Pneumococcal Vaccines in Adults, Including the Use of 15-valent and 20-valent Conjugate Vaccines. Canada Communicable Disease Report. 49(2/3). 81–86. 10 indexed citations
3.
Shakoor, Nadia, et al.. (2022). Comparing Deep Learning Approaches for Understanding Genotype × Phenotype Interactions in Biomass Sorghum. Frontiers in Artificial Intelligence. 5. 872858–872858. 8 indexed citations
4.
Wang, Xu, Hong Xuan, Byron Evers, et al.. (2019). High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat. GigaScience. 8(11). 46 indexed citations
5.
Hipp, J. Aaron, et al.. (2016). Webcams, Crowdsourcing, and Enhanced Crosswalks: Developing a Novel Method to Analyze Active Transportation. Frontiers in Public Health. 4. 97–97. 12 indexed citations
6.
Jacobs, Nathan, et al.. (2015). Building Dynamic Cloud Maps from the Ground Up. 684–692. 4 indexed citations
7.
West, Ruth, et al.. (2013). Collaborative imaging of urban forest dynamics: augmenting re-photography to visualize changes over time. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8649. 86490L–86490L. 3 indexed citations
8.
Stark, Konstantin, Annekathrin Eckart, Selgai Haidari, et al.. (2012). Capillary and arteriolar pericytes attract innate leukocytes exiting through venules and 'instruct' them with pattern-recognition and motility programs. Nature Immunology. 14(1). 41–51. 359 indexed citations
9.
Nekouzadeh, Ali, Boyd Butler, Kenneth M. Pryse, et al.. (2012). Physically-Induced Cytoskeleton Remodeling of Cells in Three-Dimensional Culture. PLoS ONE. 7(12). e45512–e45512. 49 indexed citations
10.
Friedl, M. A., et al.. (2011). PhenoCam: A continental-scale observatory for monitoring the phenology of terrestrial vegetation. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 2011. 4 indexed citations
11.
Bayly, Philip V., et al.. (2011). Propulsive Forces on the Flagellum during Locomotion of Chlamydomonas reinhardtii. Biophysical Journal. 100(11). 2716–2725. 71 indexed citations
12.
Feng, Yuan, et al.. (2011). Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images. PLoS ONE. 6(7). e22063–e22063. 8 indexed citations
13.
Feng, Yuan, et al.. (2010). Relative brain displacement and deformation during constrained mild frontal head impact. Journal of The Royal Society Interface. 7(53). 1677–1688. 97 indexed citations
14.
Zinselmeyer, Bernd H., John Dempster, David L. Wokosin, et al.. (2009). Chapter 16 Two‐Photon Microscopy and Multidimensional Analysis of Cell Dynamics. Methods in enzymology on CD-ROM/Methods in enzymology. 461. 349–378. 53 indexed citations
15.
Bayly, Philip V., et al.. (2009). Efficient spatiotemporal analysis of the flagellar waveform of Chlamydomonas reinhardtii. Cytoskeleton. 67(1). 56–69. 45 indexed citations
16.
Liu, Lu, Paul K. Commean, David R. Sinacore, et al.. (2008). Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut. Lecture notes in computer science. 11(Pt 1). 296–304. 34 indexed citations
17.
Pless, Robert & Ian Simon. (2002). Using Thousands of Images of an Object.. 684–687. 13 indexed citations
18.
Khuller, Samir, Robert Pless, & Yoram J. Sussmann. (2000). Fault tolerant K-center problems. Theoretical Computer Science. 242(1-2). 237–245. 45 indexed citations
19.
Fermüller, Cornelia, Robert Pless, & Yiannis Aloimonos. (2000). The Ouchi illusion as an artifact of biased flow estimation. Vision Research. 40(1). 77–95. 30 indexed citations
20.
Bhatia, Randeep, Samir Khuller, Robert Pless, & Yoram J. Sussmann. (1999). Full degree spanning tree problem. Digital Repository at the University of Maryland (University of Maryland College Park). 864–865. 6 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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