Stephen Ungar

1.2k total citations
31 papers, 719 citations indexed

About

Stephen Ungar is a scholar working on Aerospace Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Stephen Ungar has authored 31 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 10 papers in Ocean Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Stephen Ungar's work include Calibration and Measurement Techniques (9 papers), Satellite Image Processing and Photogrammetry (8 papers) and Remote Sensing in Agriculture (7 papers). Stephen Ungar is often cited by papers focused on Calibration and Measurement Techniques (9 papers), Satellite Image Processing and Photogrammetry (8 papers) and Remote Sensing in Agriculture (7 papers). Stephen Ungar collaborates with scholars based in United States, France and Australia. Stephen Ungar's co-authors include Jay Pearlman, Jeffrey A. Mendenhall, D. Reuter, Lawrence Ong, Petya Campbell, Elizabeth M. Middleton, Stuart Frye, Daniel Mandl, N. Pollack and David Landis and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Stephen Ungar

30 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Ungar United States 10 246 234 230 219 161 31 719
P.S. Barry United States 10 309 1.3× 200 0.9× 116 0.5× 176 0.8× 189 1.2× 18 697
C. Segal United States 6 298 1.2× 191 0.8× 110 0.5× 159 0.7× 148 0.9× 8 612
Brian Pukall United States 5 221 0.9× 301 1.3× 334 1.5× 247 1.1× 175 1.1× 6 794
Laila S. Jeong United States 7 221 0.9× 301 1.3× 370 1.6× 276 1.3× 181 1.1× 13 881
Earl G. Hansen United States 7 299 1.2× 139 0.6× 457 2.0× 475 2.2× 82 0.5× 12 902
Timothy Perkins United States 7 160 0.7× 230 1.0× 301 1.3× 182 0.8× 151 0.9× 16 695
D. Reuter United States 10 144 0.6× 165 0.7× 340 1.5× 369 1.7× 135 0.8× 21 732
David Landis United States 12 113 0.5× 422 1.8× 265 1.2× 188 0.9× 248 1.5× 29 1.3k
Hsiao-hua K. Burke United States 11 493 2.0× 376 1.6× 294 1.3× 270 1.2× 159 1.0× 32 1.2k
E. Carmona Germany 10 329 1.3× 186 0.8× 121 0.5× 144 0.7× 126 0.8× 42 667

Countries citing papers authored by Stephen Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Ungar

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Ungar. A scholar is included among the top collaborators of Stephen Ungar 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 Stephen Ungar. Stephen Ungar 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.
Middleton, Elizabeth M., Petya Campbell, Lawrence Ong, et al.. (2017). Hyperion: The first global orbital spectrometer, earth observing-1 (EO-1) satellite (2000–2017). 3039–3042. 9 indexed citations
2.
Thompson, David R., Christian Frankenberg, R. O. Green, et al.. (2016). Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter. Geophysical Research Letters. 43(12). 6571–6578. 99 indexed citations
3.
Middleton, Elizabeth M., Stephen Ungar, Daniel Mandl, et al.. (2013). The Earth Observing One (EO-1) Satellite Mission: Over a Decade in Space. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6(2). 243–256. 106 indexed citations
4.
Middleton, Elizabeth M., Petya Campbell, Stephen Ungar, et al.. (2010). Using EO-1 Hyperion images to prototype environmental products for HyspIRI. Maryland Shared Open Access Repository (USMAI Consortium). 4256–4259. 5 indexed citations
5.
Cao, Changyong, Sirish Uprety, Jack Xiong, et al.. (2010). Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites. Canadian Journal of Remote Sensing. 36(5). 498–513. 35 indexed citations
6.
Green, Robert O., Gregory P. Asner, Stephen Ungar, & Robert G. Knox. (2008). NASA Mission to Measure Global Plant Physiology and Functional Types. Proceedings - IEEE Aerospace Conference. 1–7. 17 indexed citations
7.
Cao, Changyong, Stephen Ungar, Pascal Lecomte, et al.. (2008). Toward Consistent Satellite Calibration and Validation for GEOSS Interoperability. I–300. 7 indexed citations
8.
Mandl, Daniel, R. A. Sohlberg, Chris Justice, et al.. (2007). Sensor webs with a service-oriented architecture for on-demand science products. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6684. 668414–668414. 4 indexed citations
9.
Ungar, Stephen, et al.. (2007). EO-1 Mission: Transition from technology demonstration to science path finder. 1529–1531. 5 indexed citations
10.
Asner, Gregory P., Robert G. Knox, Robert O. Green, & Stephen Ungar. (2005). The Flora Mission for Ecosystem Composition, Disturbance and Productivity. NASA Technical Reports Server (NASA). 9 indexed citations
11.
Dohm, J. M., Steve Chien, G. Robert Brakenridge, et al.. (2003). Ground and Space-based Sensor Web System: Streamlining Spacecraft Observation Response to Flood Detection.. AGUFM. 2003. 1 indexed citations
12.
Ungar, Stephen, et al.. (2003). Image Processing and Pattern Recognition in Remote Sensing. 4898. 2 indexed citations
13.
Ungar, Stephen. (2003). Overview of the Earth Observing One (EO-1) Mission. 1. 568–571. 8 indexed citations
14.
Ungar, Stephen, Jay Pearlman, Jeffrey A. Mendenhall, & D. Reuter. (2003). Overview of the earth observing one (eo-1) mission. IEEE Transactions on Geoscience and Remote Sensing. 41(6). 1149–1159. 272 indexed citations
15.
Ungar, Stephen, et al.. (1992). Determination of soil moisture distribution from impedance and gravimetric measurements. Journal of Geophysical Research Atmospheres. 97(D17). 18969–18977. 17 indexed citations
16.
Ungar, Stephen, Richard R. Irish, Alan H. Strahler, et al.. (1984). Extraction of topography from side-looking satellite systems A case study with SPOT simulation data. 1 indexed citations
17.
Ungar, Stephen & Samuel N. Goward. (1983). Enhanced crop discrimination using the mid-IR (1.55–1.75μm). Advances in Space Research. 3(2). 291–295. 10 indexed citations
18.
Ungar, Stephen & Samuel N. Goward. (1983). Enhanced crop discrimination using the mid-IR (1.55-1.75 microns). NASA Technical Reports Server (NASA). 2 indexed citations
19.
Ungar, Stephen. (1982). Scanner imaging systems, aircraft. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
20.
Kiang, Richard K. & Stephen Ungar. (1977). Monitoring Earth Albedo from LANDSAT. Purdue e-Pubs (Purdue University System). 1 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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