Jay P. Hoffman

957 total citations
13 papers, 603 citations indexed

About

Jay P. Hoffman is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Chemistry. According to data from OpenAlex, Jay P. Hoffman has authored 13 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 3 papers in Environmental Chemistry. Recurrent topics in Jay P. Hoffman's work include Atmospheric and Environmental Gas Dynamics (5 papers), Meteorological Phenomena and Simulations (3 papers) and Arctic and Antarctic ice dynamics (3 papers). Jay P. Hoffman is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (5 papers), Meteorological Phenomena and Simulations (3 papers) and Arctic and Antarctic ice dynamics (3 papers). Jay P. Hoffman collaborates with scholars based in United States, Switzerland and Italy. Jay P. Hoffman's co-authors include Christopher C. Schmidt, E. M. Prins, Jeffrey S. Reid, Douglas L. Westphal, Cynthia A. Curtis, E. J. Hyer, Kim Richardson, Sundar A. Christopher, Jun Wang and Jianglong Zhang and has published in prestigious journals such as Remote Sensing of Environment, Geophysical Research Letters and Remote Sensing.

In The Last Decade

Jay P. Hoffman

13 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay P. Hoffman United States 11 504 472 60 56 37 13 603
Zuohao Cao Canada 13 374 0.7× 414 0.9× 76 1.3× 32 0.6× 16 0.4× 37 500
Xi Zhao United States 15 417 0.8× 435 0.9× 23 0.4× 33 0.6× 15 0.4× 28 517
Yinjun Wang China 15 435 0.9× 438 0.9× 128 2.1× 118 2.1× 19 0.5× 28 591
R. L. Hart United States 10 414 0.8× 413 0.9× 130 2.2× 56 1.0× 15 0.4× 20 527
Megan S. Mallard United States 12 364 0.7× 376 0.8× 71 1.2× 37 0.7× 14 0.4× 16 454
Karl-Ivar Ivarsson Sweden 7 212 0.4× 249 0.5× 14 0.2× 50 0.9× 30 0.8× 11 363
Natália Machado Crespo Brazil 11 264 0.5× 255 0.5× 42 0.7× 24 0.4× 19 0.5× 31 392
Sushant Das India 17 587 1.2× 535 1.1× 77 1.3× 46 0.8× 15 0.4× 44 671
Jerold A. Herwehe United States 11 541 1.1× 590 1.3× 92 1.5× 88 1.6× 12 0.3× 21 667
Sang‐Boom Ryoo South Korea 12 284 0.6× 289 0.6× 98 1.6× 101 1.8× 23 0.6× 39 432

Countries citing papers authored by Jay P. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Hoffman. 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 Jay P. Hoffman. The network helps show where Jay P. Hoffman may publish in the future.

Co-authorship network of co-authors of Jay P. Hoffman

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

All Works

13 of 13 papers shown
1.
Hoffman, Jay P., et al.. (2023). The Application of a Convolutional Neural Network for the Detection of Contrails in Satellite Imagery. Remote Sensing. 15(11). 2854–2854. 11 indexed citations
2.
Hoffman, Jay P., Steven A. Ackerman, Yinghui Liu, & Jeffrey R. Key. (2022). A 20-Year Climatology of Sea Ice Leads Detected in Infrared Satellite Imagery Using a Convolutional Neural Network. Remote Sensing. 14(22). 5763–5763. 15 indexed citations
3.
Li, Sanmei, Donglian Sun, Mitchell D. Goldberg, et al.. (2022). A downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM. ISPRS Journal of Photogrammetry and Remote Sensing. 192. 279–298. 16 indexed citations
4.
Hoffman, Jay P., Steven A. Ackerman, Yinghui Liu, Jeffrey R. Key, & Iain McConnell. (2021). Application of a Convolutional Neural Network for the Detection of Sea Ice Leads. Remote Sensing. 13(22). 4571–4571. 18 indexed citations
5.
Hoffman, Jay P., Steven A. Ackerman, Yinghui Liu, & Jeffrey R. Key. (2019). The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers. Remote Sensing. 11(5). 521–521. 28 indexed citations
6.
Li, Sanmei, Donglian Sun, Mitchell D. Goldberg, et al.. (2017). Automatic near real-time flood detection using Suomi-NPP/VIIRS data. Remote Sensing of Environment. 204. 672–689. 81 indexed citations
7.
Hyer, E. J., Jeffrey S. Reid, E. M. Prins, et al.. (2012). Patterns of fire activity over Indonesia and Malaysia from polar and geostationary satellite observations. Atmospheric Research. 122. 504–519. 53 indexed citations
8.
Schroeder, Wilfrid, Ivan Csiszar, Louis Giglio, et al.. (2010). Early characterization of the active fire detection products derived from the next generation NPOESS/VIIRS and GOES-R/ABI instruments. 2683–2686. 5 indexed citations
9.
Reid, Jeffrey S., E. J. Hyer, E. M. Prins, et al.. (2009). Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2(3). 144–162. 260 indexed citations
10.
Reid, Jeffrey S., E. M. Prins, Douglas L. Westphal, et al.. (2004). Real‐time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box‐model approach. Geophysical Research Letters. 31(6). 74 indexed citations
11.
Mládek, Richard, Peter Binder, Philippe Bougeault, et al.. (2000). Intercomparison and Evaluation of Precipitation Forecasts for MAP Seasons 1995 and 1996. Meteorology and Atmospheric Physics. 72(2-4). 111–129. 15 indexed citations
12.
Geleyn, J.‐F., et al.. (1986). The Operational Hemispheric Model at the French Meteorological Service. Journal of the Meteorological Society of Japan Ser II. 64A(0). 337–345. 26 indexed citations
13.
Hoffman, Jay P., et al.. (1977). The Dulce, New Mexico Earthquake, Jan. 23, 1966. Seismological Research Letters. 48(4). 3–20. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026