Scott Satkin

625 total citations
11 papers, 321 citations indexed

About

Scott Satkin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Scott Satkin has authored 11 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Computer Networks and Communications. Recurrent topics in Scott Satkin's work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Scott Satkin is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Scott Satkin collaborates with scholars based in United States and South Korea. Scott Satkin's co-authors include Martial Hebert, Abhinav Gupta, Alexei A. Efros, Jason Lin, Nathan Jacobs, K. V. M. Naidu, Rajeev Rastogi, Anand Srinivasan, Michael Dixon and Robert Pless and has published in prestigious journals such as International Journal of Computer Vision, Bell Labs Technical Journal and Figshare.

In The Last Decade

Scott Satkin

11 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Satkin United States	7	274	111	43	39	38	11	321
Eduard Trulls Switzerland	9	476 1.7×	279 2.5×	46 1.1×	22 0.6×	63 1.7×	12	562
Takeo Kanade United States	5	161 0.6×	104 0.9×	13 0.3×	20 0.5×	33 0.9×	7	261
Federico Pernici Italy	11	331 1.2×	118 1.1×	42 1.0×	10 0.3×	57 1.5×	34	407
M. Zuliani United States	8	284 1.0×	146 1.3×	33 0.8×	10 0.3×	40 1.1×	10	345
Rui Pimentel de Figueiredo Portugal	10	153 0.6×	56 0.5×	35 0.8×	46 1.2×	48 1.3×	37	257
W. Niem Germany	7	224 0.8×	59 0.5×	40 0.9×	11 0.3×	23 0.6×	12	280
Federica Arrigoni Italy	8	156 0.6×	75 0.7×	33 0.8×	14 0.4×	29 0.8×	23	217
Jasna Maver Slovenia	5	290 1.1×	191 1.7×	77 1.8×	14 0.4×	18 0.5×	15	353
Binbin Xu United Kingdom	8	179 0.7×	162 1.5×	65 1.5×	34 0.9×	15 0.4×	22	268
Sohaib Khan Pakistan	9	270 1.0×	86 0.8×	12 0.3×	42 1.1×	25 0.7×	18	313

Countries citing papers authored by Scott Satkin

Since Specialization

Citations

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

Fields of papers citing papers by Scott Satkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Satkin

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Satkin. A scholar is included among the top collaborators of Scott Satkin 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 Satkin. Scott Satkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Satkin, Scott, et al.. (2014). 3DNN: 3D Nearest Neighbor. International Journal of Computer Vision. 111(1). 69–97. 16 indexed citations

2.

Satkin, Scott. (2013). Data-Driven Geometric Scene Understanding. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 1 indexed citations

3.

Satkin, Scott & Martial Hebert. (2013). 3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding. 1873–1880. 14 indexed citations

4.

Bouguet, Jean-Yves, et al.. (2012). Building indoor multi-panorama experiences at scale. 1–1. 3 indexed citations

5.

Satkin, Scott, Jason Lin, & Martial Hebert. (2012). Data-Driven Scene Understanding from 3D Models. Figshare. 128.1–128.11. 52 indexed citations

6.

Gupta, Abhinav, Scott Satkin, Alexei A. Efros, & Martial Hebert. (2011). From 3D scene geometry to human workspace. Figshare. 1961–1968. 141 indexed citations

7.

Naidu, K. V. M., Rajeev Rastogi, Scott Satkin, & Anand Srinivasan. (2011). Memory-constrained aggregate computation over data streams. 852–863. 7 indexed citations

8.

Jacobs, Nathan, Michael Dixon, Scott Satkin, & Robert Pless. (2009). Efficient tracking of many objects in structured environments. Open Scholarship Institutional Repository (Washington University in St. Louis). 1161–1168. 6 indexed citations

9.

Naidu, K. V. M., et al.. (2008). Efficient Aggregate Computation over Data Streams. 1382–1384. 2 indexed citations

10.

Agrawal, Shipra, et al.. (2007). Monitoring infrastructure for converged networks and services. Bell Labs Technical Journal. 12(2). 63–77. 3 indexed citations

11.

Jacobs, Nathan, et al.. (2007). Geolocating Static Cameras. 1–6. 76 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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