J. Jacobson

839 total citations
33 papers, 578 citations indexed

About

J. Jacobson is a scholar working on Media Technology, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, J. Jacobson has authored 33 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 15 papers in Aerospace Engineering and 6 papers in Environmental Engineering. Recurrent topics in J. Jacobson's work include Remote-Sensing Image Classification (17 papers), Infrared Target Detection Methodologies (11 papers) and Calibration and Measurement Techniques (6 papers). J. Jacobson is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Infrared Target Detection Methodologies (11 papers) and Calibration and Measurement Techniques (6 papers). J. Jacobson collaborates with scholars based in United States, Canada and Greece. J. Jacobson's co-authors include T. Cooley, Dimitris G. Manolakis, Ronald B. Lockwood, C. L. Searle, Michael Pieper, P. C. Dodwell, Eric Truslow, Christian Berger, Jonas Eberle and Christiane Schmullius and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Experimental Psychology Human Perception & Performance and Brain and Language.

In The Last Decade

J. Jacobson

31 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Jacobson United States 13 306 148 115 103 99 33 578
Di Lu China 13 334 1.1× 23 0.2× 208 1.8× 81 0.8× 35 0.4× 54 727
Marin N. Gjaja United States 4 78 0.3× 13 0.1× 40 0.3× 121 1.2× 66 0.7× 4 335
Michael J. Murdoch United States 12 213 0.7× 29 0.2× 64 0.6× 75 0.7× 98 1.0× 55 692
Mohamed Dahmane Canada 10 236 0.8× 22 0.1× 119 1.0× 96 0.9× 21 0.2× 28 497
Kuniaki Uto Japan 11 144 0.5× 72 0.5× 76 0.7× 86 0.8× 11 0.1× 56 655
Haitao Guo China 12 338 1.1× 34 0.2× 200 1.7× 73 0.7× 4 0.0× 42 596
Honghui Xu China 11 520 1.7× 44 0.3× 258 2.2× 90 0.9× 21 0.2× 38 787
Siyuan Hao China 14 488 1.6× 156 1.1× 277 2.4× 80 0.8× 22 0.2× 48 864
Qingyang Li China 6 257 0.8× 22 0.1× 184 1.6× 116 1.1× 245 2.5× 10 670
C. Mario Christoudias United States 12 101 0.3× 41 0.3× 14 0.1× 151 1.5× 28 0.3× 16 564

Countries citing papers authored by J. Jacobson

Since Specialization
Citations

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

Fields of papers citing papers by J. Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Jacobson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Jacobson. A scholar is included among the top collaborators of J. Jacobson 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 J. Jacobson. J. Jacobson 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.
Manolakis, Dimitris G., Michael Pieper, Eric Truslow, et al.. (2019). Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges. IEEE Geoscience and Remote Sensing Magazine. 7(2). 72–100. 44 indexed citations
2.
Cooley, T., Michael Pieper, Dimitris G. Manolakis, et al.. (2018). Wavelength calibration correction for ground radiance spectra in LWIR hyperspectral imagery. 1. 5–5. 1 indexed citations
3.
Pieper, Michael, Dimitris G. Manolakis, Eric Truslow, et al.. (2018). Sensitivity of temperature and emissivity separation to atmospheric errors in LWIR hyperspectral imagery. 6233. 27–27. 2 indexed citations
4.
Pieper, Michael, et al.. (2016). In-scene LWIR downwelling radiance estimation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9976. 99760E–99760E. 3 indexed citations
5.
Ientilucci, Emmett J., et al.. (2015). Improved atmospheric retrievals of hyperspectral data using geometric constraints. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9611. 961113–961113. 5 indexed citations
6.
Pieper, Michael, et al.. (2015). Comparison of hyperspectral change detection algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9611. 96110Z–96110Z. 4 indexed citations
7.
Pieper, Michael, et al.. (2011). Hyperspectral detection and discrimination using the ACE algorithm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8158. 815807–815807. 15 indexed citations
8.
Manolakis, Dimitris G., Ronald B. Lockwood, T. Cooley, & J. Jacobson. (2009). Is there a best hyperspectral detection algorithm?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7334. 733402–733402. 146 indexed citations
9.
Cooley, T., et al.. (2009). Hyperspectral detection algorithms: use covariances or subspaces?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 26 indexed citations
10.
Manolakis, Dimitris G., et al.. (2008). Statistical characterization of hyperspectral background clutter in the reflective spectral region. Applied Optics. 47(28). F96–F96. 9 indexed citations
11.
Manolakis, Dimitris G., et al.. (2007). Maintaining CFAR operation in hyperspectral target detection using extreme value distributions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6565. 65651W–65651W. 7 indexed citations
12.
Manolakis, Dimitris G., et al.. (2006). Statistical Characterization of Natural Hyperspectral Backgrounds. 1624–1627. 2 indexed citations
13.
Manolakis, Dimitris G., Ronald B. Lockwood, T. Cooley, & J. Jacobson. (2006). Robust Matched Filters for Hyperspectral Target Detection. 14. 368–370.
14.
Searle, C. L., et al.. (2005). A phoneme recognition system based on human audition. 3. 557–560. 2 indexed citations
15.
Gekoski, William L., et al.. (1982). Visual masking and linguistic independence in bilinguals.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 36(1). 108–116. 6 indexed citations
16.
Searle, C. L., et al.. (1979). Stop consonant discrimination based on human audition. The Journal of the Acoustical Society of America. 65(3). 799–809. 49 indexed citations
17.
Jacobson, J. & P. C. Dodwell. (1979). Saccadic eye movements during reading. Brain and Language. 8(3). 303–314. 22 indexed citations
18.
Jacobson, J., et al.. (1978). Geometric and semantic similarity in visual masking.. Journal of Experimental Psychology Human Perception & Performance. 4(2). 224–231. 7 indexed citations
19.
Jacobson, J.. (1976). Relative possibilities of loops and redundant connections in neural nets. Journal of Mathematical Psychology. 13(2). 148–162. 2 indexed citations
20.
Jacobson, J.. (1976). Visual masking by homonyms.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 30(3). 174–177. 10 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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