Bruce Chapman

2.5k total citations
102 papers, 1.8k citations indexed

About

Bruce Chapman is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Bruce Chapman has authored 102 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Aerospace Engineering, 44 papers in Environmental Engineering and 32 papers in Atmospheric Science. Recurrent topics in Bruce Chapman's work include Synthetic Aperture Radar (SAR) Applications and Techniques (60 papers), Remote Sensing and LiDAR Applications (22 papers) and Soil Moisture and Remote Sensing (20 papers). Bruce Chapman is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (60 papers), Remote Sensing and LiDAR Applications (22 papers) and Soil Moisture and Remote Sensing (20 papers). Bruce Chapman collaborates with scholars based in United States, Italy and Brazil. Bruce Chapman's co-authors include A. Freeman, Paul Siqueira, Åke Rosenqvist, Laura L. Hess, Masanobu Shimada, K. C. McDonald, Thierry Michel, S. Hensley, G. H. Pettengill and P. Dubois and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Bruce Chapman

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruce Chapman United States 23 785 744 611 517 349 102 1.8k
Paola Rizzoli Germany 22 1.2k 1.5× 715 1.0× 1.3k 2.2× 332 0.6× 295 0.8× 123 2.6k
D. W. Hancock United States 17 269 0.3× 723 1.0× 1.1k 1.8× 521 1.0× 316 0.9× 42 2.3k
Alejandro N. Flores United States 21 355 0.5× 332 0.4× 501 0.8× 392 0.8× 199 0.6× 86 1.4k
Michael W. Matthew United States 18 333 0.4× 657 0.9× 492 0.8× 794 1.5× 909 2.6× 27 2.1k
Manoochehr Shirzaei United States 32 1.2k 1.6× 447 0.6× 599 1.0× 454 0.9× 105 0.3× 99 3.0k
João Catalão Portugal 25 877 1.1× 432 0.6× 657 1.1× 212 0.4× 158 0.5× 114 1.9k
Alexander P. Trishchenko Canada 26 298 0.4× 486 0.7× 939 1.5× 1.3k 2.5× 813 2.3× 80 2.1k
Hyongki Lee United States 33 887 1.1× 717 1.0× 747 1.2× 1.7k 3.2× 456 1.3× 105 3.2k
A. A. Borsa United States 22 458 0.6× 267 0.4× 384 0.6× 200 0.4× 81 0.2× 52 1.4k
Jérôme Benveniste Italy 30 370 0.5× 379 0.5× 1.0k 1.7× 900 1.7× 195 0.6× 132 2.9k

Countries citing papers authored by Bruce Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Bruce Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruce Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce Chapman. A scholar is included among the top collaborators of Bruce Chapman 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 Bruce Chapman. Bruce Chapman 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.
Kim, Seung-Bum, et al.. (2024). Classification of Crop Area Using PALSAR, Sentinel-1, and Planet Data for the NISAR Mission. Remote Sensing. 16(11). 1975–1975. 1 indexed citations
2.
Kettner, Albert J., et al.. (2023). Assessing the Relative Performance of GNSS-R Flood Extent Observations: Case Study in South Sudan. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 23 indexed citations
3.
Chapman, Bruce, C. Galdi, Mary Morris, et al.. (2022). Comparison of SAR and CYGNSS Surface Water Extent Metrics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 3235–3245. 13 indexed citations
4.
Wang, Chao, Tamlin M. Pavelsky, Fangfang Yao, et al.. (2022). Flood Extent Mapping During Hurricane Florence With Repeat‐Pass L‐Band UAVSAR Images. Water Resources Research. 58(3). 8 indexed citations
6.
Chapman, Bruce, K. C. McDonald, Masanobu Shimada, et al.. (2015). Mapping Regional Inundation with Spaceborne L-Band SAR. Remote Sensing. 7(5). 5440–5470. 80 indexed citations
7.
Kellndorfer, Josef, Ralph Dubayah, Paul Siqueira, et al.. (2014). Large-Scale Mapping and Monitoring of Terrestrial Ecosystems with the NISAR Mission. 2014 AGU Fall Meeting. 2014. 1 indexed citations
8.
Moghaddam, Mahta, et al.. (2014). Wetland Maps of Central Canada based on L-band SAR Imagery. 2014 AGU Fall Meeting. 2013. 1 indexed citations
9.
Chapman, Bruce, et al.. (2014). Detection and Monitoring of Inundation with Polarimetric L-Band SAR. 2014 AGU Fall Meeting. 2014. 1 indexed citations
10.
Chapman, Bruce, et al.. (2013). Validation of Forested Inundation Extent Revealed by L-Band Polarimetric and Interferometric SAR Data. 2 indexed citations
11.
Blom, Ronald G., Bruce Chapman, Roy K. Dokka, et al.. (2012). Gulf Coast Subsidence: Integration of Geodesy, Geophysical Modeling, and Interferometric Synthetic Aperture Radar Observations. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
12.
Hensley, Scott, Bruce Chapman, Maxim Neumann, et al.. (2011). Polarimetric interferometric studies of the harvard forest using l-band UAVSAR data repeat pass data. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–2. 1 indexed citations
13.
Moghaddam, Mahta, et al.. (2011). Progress on SAR-Based Mapping and Change Detection for Boreal Wetlands of North America. AGUFM. 2011. 1 indexed citations
14.
Hensley, S., Cathleen E. Jones, Delwyn Moller, et al.. (2010). Ice Studies using UAVSAR L-band and Ka-band Data. 1–4. 2 indexed citations
15.
Sullivan, Edward C., et al.. (2009). A Benefit-Cost Evaluation of Smart Transit Features at Small Scale Transit Operations. DigitalCommons - CalPoly (California State Polytechnic University). 2 indexed citations
16.
Freeman, A., et al.. (2008). Imaging the Ionosphere Using Polarimetric SAR and GPS. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
17.
Moghaddam, Mahta, et al.. (2008). Decadal Change in Northern Wetlands Based on Analysis of ALOS/PALSAR and JERS SAR Data. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
18.
Treuhaft, R. N., Bruce Chapman, Luciano Vieira Dutra, et al.. (2006). Estimating 3-Dimensional Structure of Tropical Forests from Radar Interferometry / Estimativa da Estrutura 3-Dimensional das Florestas Tropicais Através de Interferometria de Radar. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Treuhaft, R. N., Bruce Chapman, Luciano Vieira Dutra, et al.. (2006). 3D forest structure analysis from optical and LIDAR data. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 indexed citations
20.
Chapman, Bruce, et al.. (1998). Data Quality of the JERS-1 SAR Global Rain Forest Mapping (GRFM) Project. International Journal of Remote Sensing. 2 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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