S. Sandor-Leahy

979 total citations · 1 hit paper
9 papers, 770 citations indexed

About

S. Sandor-Leahy is a scholar working on Media Technology, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, S. Sandor-Leahy has authored 9 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 3 papers in Atmospheric Science and 3 papers in Aerospace Engineering. Recurrent topics in S. Sandor-Leahy's work include Remote-Sensing Image Classification (6 papers), Calibration and Measurement Techniques (3 papers) and Remote Sensing and Land Use (2 papers). S. Sandor-Leahy is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Calibration and Measurement Techniques (3 papers) and Remote Sensing and Land Use (2 papers). S. Sandor-Leahy collaborates with scholars based in United States. S. Sandor-Leahy's co-authors include Richard M. Leahy, David W. Shattuck, Kirt Schaper, David A. Rottenberg, John Shepanski, Peter J. Jarecke, B. H. Quon, Mark A. Folkman, Richard L. Davis and Mark W. Knight and has published in prestigious journals such as NeuroImage and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

S. Sandor-Leahy

7 papers receiving 737 citations

Hit Papers

Magnetic Resonance Image Tissue Classification Using a Pa... 2001 2026 2009 2017 2001 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
S. Sandor-Leahy United States 3 450 316 180 134 81 9 770
Jung W. Suh United States 10 483 1.1× 316 1.0× 172 1.0× 166 1.2× 93 1.1× 21 968
Jennifer L. Cuzzocreo United States 17 177 0.4× 272 0.9× 144 0.8× 102 0.8× 62 0.8× 21 759
Chris A. Cocosco Germany 13 295 0.7× 440 1.4× 159 0.9× 98 0.7× 67 0.8× 19 835
Kelly Rehm United States 20 333 0.7× 472 1.5× 100 0.6× 348 2.6× 94 1.2× 32 1.1k
Andrew J. Asman United States 15 371 0.8× 334 1.1× 89 0.5× 84 0.6× 38 0.5× 35 754
Kirt Schaper United States 13 739 1.6× 651 2.1× 277 1.5× 332 2.5× 104 1.3× 19 1.5k
Zhiqiang Lao United States 6 221 0.5× 173 0.5× 131 0.7× 112 0.8× 101 1.2× 14 549
Ivana Despotović Belgium 9 296 0.7× 189 0.6× 229 1.3× 81 0.6× 38 0.5× 16 584
David Metcalf United States 12 304 0.7× 352 1.1× 60 0.3× 200 1.5× 129 1.6× 14 829
Dinggang Shen United States 14 576 1.3× 490 1.6× 166 0.9× 207 1.5× 120 1.5× 27 1.2k

Countries citing papers authored by S. Sandor-Leahy

Since Specialization
Citations

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

Fields of papers citing papers by S. Sandor-Leahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Sandor-Leahy. 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 S. Sandor-Leahy. The network helps show where S. Sandor-Leahy may publish in the future.

Co-authorship network of co-authors of S. Sandor-Leahy

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

All Works

9 of 9 papers shown
1.
Sandor-Leahy, S., Richard L. Davis, A. Gutierrez-Aitken, et al.. (2019). A Photonic Spectrometer for Enhanced Sustainable Land Imaging. 6. 1–2. 2 indexed citations
2.
Shepanski, John & S. Sandor-Leahy. (2006). The NGST long-wave hyperspectral imaging spectrometer: sensor hardware and data processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6206. 62062B–62062B. 1 indexed citations
3.
Shepanski, John & S. Sandor-Leahy. (2005). LWIR hyperspectral imagery and its exploitation for gas plume characterization. 7. 4958–4961.
4.
Sandor-Leahy, S.. (2002). The TRWIS III airborne hyperspectral imaging system. 2. H44/1–H44/8.
5.
Sandor-Leahy, S., et al.. (2002). Analysis of agricultural imagery acquired by the TRWIS III hyperspectral sensor. 1. 177–181. 1 indexed citations
6.
Shattuck, David W., S. Sandor-Leahy, Kirt Schaper, David A. Rottenberg, & Richard M. Leahy. (2001). Magnetic Resonance Image Tissue Classification Using a Partial Volume Model. NeuroImage. 13(5). 856–876. 755 indexed citations breakdown →
7.
Sandor-Leahy, S.. (1999). <title>Subspace projection approach to characterization and classification of TRWIS III data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3753. 318–326. 2 indexed citations
8.
Sandor-Leahy, S., et al.. (1998). TRWIS III hyperspectral imager: instrument performance and remote sensing applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3438. 13–13. 3 indexed citations
9.
Folkman, Mark A., et al.. (1997). <title>Updated results from performance characterization and calibration of the TRWIS III hyperspectral imager</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3118. 142–153. 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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