Scott Workman

1.3k total citations
29 papers, 735 citations indexed

About

Scott Workman is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Media Technology. According to data from OpenAlex, Scott Workman has authored 29 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 8 papers in Environmental Engineering and 5 papers in Media Technology. Recurrent topics in Scott Workman's work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers) and Video Surveillance and Tracking Methods (7 papers). Scott Workman is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Advanced Vision and Imaging (7 papers) and Video Surveillance and Tracking Methods (7 papers). Scott Workman collaborates with scholars based in United States, Brazil and Netherlands. Scott Workman's co-authors include Nathan Jacobs, Richard Souvenir, Menghua Zhai, Zachary Bessinger, Mohammad Tariqul Islam, Muhammad Usman Rafique, Dustin Crandall, Sarah Brown, Johnathan Moore and Hui Wu and has published in prestigious journals such as Geological Society London Special Publications, Advances in Water Resources and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Scott Workman

27 papers receiving 718 citations

Peers

Scott Workman
Scott Workman
Citations per year, relative to Scott Workman Scott Workman (= 1×) peers Amin Sedaghat

Countries citing papers authored by Scott Workman

Since Specialization
Citations

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

Fields of papers citing papers by Scott Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Workman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Workman. A scholar is included among the top collaborators of Scott Workman 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 Scott Workman. Scott Workman 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.
Andrews, Graham D.M., et al.. (2022). Self-sealing mafic sills for carbon and hydrogen storage. Geological Society London Special Publications. 528(1). 359–376. 4 indexed citations
2.
Workman, Scott, et al.. (2022). Revisiting Near/Remote Sensing with Geospatial Attention. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1768–1777. 11 indexed citations
3.
Workman, Scott, et al.. (2020). Extending Absolute Pose Regression to Multiple Scenes. 170–178. 19 indexed citations
4.
Workman, Scott, et al.. (2020). Learning a Dynamic Map of Visual Appearance. 12432–12441. 17 indexed citations
5.
Workman, Scott, et al.. (2019). Implicit Land Use Mapping Using Social Media Imagery. 1–4. 3 indexed citations
6.
Zhai, Menghua, et al.. (2019). Learning Geo-Temporal Image Features. arXiv (Cornell University). 144. 1 indexed citations
7.
Zhai, Menghua, et al.. (2018). A Multimodal Approach to Mapping Soundscapes. Computer Vision and Pattern Recognition. 3477–3480. 3 indexed citations
8.
Workman, Scott, Richard Souvenir, & Nathan Jacobs. (2016). Quantifying and Predicting Image Scenicness.. arXiv (Cornell University). 1 indexed citations
9.
Zhai, Menghua, et al.. (2016). A fast method for estimating transient scene attributes. 1–8. 3 indexed citations
10.
Workman, Scott, et al.. (2016). Sky segmentation in the wild: An empirical study. 1–6. 21 indexed citations
11.
Workman, Scott, et al.. (2016). Analyzing human appearance as a cue for dating images. 1–8. 9 indexed citations
12.
Zhai, Menghua, Scott Workman, & Nathan Jacobs. (2016). Detecting Vanishing Points Using Global Image Context in a Non-ManhattanWorld. 5657–5665. 51 indexed citations
13.
Workman, Scott, Richard Souvenir, & Nathan Jacobs. (2015). Wide-Area Image Geolocalization with Aerial Reference Imagery. 3961–3969. 222 indexed citations
14.
Islam, Mohammad Tariqul, Scott Workman, & Nathan Jacobs. (2015). FACE2GPS: Estimating geographic location from facial features. 1608–1612. 3 indexed citations
15.
Workman, Scott & Nathan Jacobs. (2015). On the location dependence of convolutional neural network features. 70–78. 87 indexed citations
16.
Workman, Scott, et al.. (2015). DEEPFOCAL: A method for direct focal length estimation. 1369–1373. 48 indexed citations
17.
Workman, Scott, Richard Souvenir, & Nathan Jacobs. (2015). Scene shape estimation from multiple partly cloudy days. Computer Vision and Image Understanding. 134. 116–129. 4 indexed citations
18.
Islam, Mohammad Tariqul, Scott Workman, Hui Wu, Nathan Jacobs, & Richard Souvenir. (2014). Exploring the geo-dependence of human face appearance. 1042–1049. 9 indexed citations
19.
Jacobs, Nathan, Scott Workman, & Richard Souvenir. (2013). Scene geometry from several partly cloudy days. 1–6. 2 indexed citations
20.
Jacobs, Nathan, Mohammad Tariqul Islam, & Scott Workman. (2013). Cloud Motion as a Calibration Cue. 1344–1351. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026