Jennifer Dungan

7.2k total citations · 2 hit papers
79 papers, 5.4k citations indexed

About

Jennifer Dungan is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jennifer Dungan has authored 79 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 29 papers in Environmental Engineering and 25 papers in Global and Planetary Change. Recurrent topics in Jennifer Dungan's work include Remote Sensing in Agriculture (39 papers), Remote Sensing and LiDAR Applications (19 papers) and Soil Geostatistics and Mapping (17 papers). Jennifer Dungan is often cited by papers focused on Remote Sensing in Agriculture (39 papers), Remote Sensing and LiDAR Applications (19 papers) and Soil Geostatistics and Mapping (17 papers). Jennifer Dungan collaborates with scholars based in United States, United Kingdom and Japan. Jennifer Dungan's co-authors include Paul J. Curran, Henry L. Gholz, David L. Peterson, Éric Vermote, Jean‐Claude Roger, Sergii Skakun, Junchang Ju, Jeffrey G. Masek, Martin Claverie and Christopher O. Justice and has published in prestigious journals such as Science, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Jennifer Dungan

76 papers receiving 5.0k citations

Hit Papers

The Harmonized Landsat an... 2002 2026 2010 2018 2018 2002 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
Jennifer Dungan United States 28 3.0k 1.9k 1.5k 997 700 79 5.4k
Jin Wu China 41 2.8k 0.9× 3.1k 1.6× 1.0k 0.7× 1.4k 1.4× 801 1.1× 178 5.3k
Roberto Colombo Italy 47 4.2k 1.4× 3.9k 2.0× 1.6k 1.1× 1.7k 1.7× 311 0.4× 150 6.9k
Michele Meroni Italy 43 4.3k 1.4× 3.6k 1.9× 1.4k 1.0× 1.7k 1.7× 271 0.4× 113 6.0k
Jing Li China 42 2.9k 1.0× 2.4k 1.2× 2.0k 1.3× 880 0.9× 200 0.3× 210 6.1k
Liangyun Liu China 41 4.2k 1.4× 3.8k 2.0× 1.7k 1.1× 1.4k 1.4× 237 0.3× 292 6.6k
Luis Alonso Spain 36 4.0k 1.3× 2.4k 1.3× 1.7k 1.1× 1.7k 1.7× 133 0.2× 120 5.7k
Gregory S. Biging United States 25 1.9k 0.6× 1.4k 0.7× 1.4k 0.9× 514 0.5× 960 1.4× 61 3.5k
Mariana Belgiu Netherlands 18 3.5k 1.2× 2.3k 1.2× 2.1k 1.4× 768 0.8× 258 0.4× 54 6.8k
K. F. Huemmrich United States 38 5.2k 1.7× 4.8k 2.5× 2.5k 1.7× 1.2k 1.2× 440 0.6× 90 7.2k
Ben Somers Belgium 41 2.8k 0.9× 2.0k 1.1× 1.4k 0.9× 882 0.9× 613 0.9× 185 5.4k

Countries citing papers authored by Jennifer Dungan

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Dungan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Dungan

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Dungan. A scholar is included among the top collaborators of Jennifer Dungan 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 Jennifer Dungan. Jennifer Dungan 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.
Chen, Jie, et al.. (2024). Transcutaneous Auricular Vagus Nerve Stimulation for Managing Pain: A Scoping Review. Pain Management Nursing. 26(1). 33–39. 3 indexed citations
2.
Wang, Weile, Jennifer Dungan, Vanessa Genovese, et al.. (2023). Development of the Ames Global Hyperspectral Synthetic Data Set: Surface Bidirectional Reflectance Distribution Function. Journal of Geophysical Research Biogeosciences. 128(6). 3 indexed citations
3.
Hashimoto, Hirofumi, Weile Wang, Jennifer Dungan, et al.. (2021). New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests. Nature Communications. 12(1). 684–684. 67 indexed citations
4.
Jenkins, Jon M., Peter Tenenbaum, Elizabeth M. Middleton, et al.. (2019). Surface Biology & Geology Pathfinder Data Analysis Pipeline. 2019. 1 indexed citations
5.
Choi, Sungho, Christopher P. Kempes, Taejin Park, et al.. (2016). Application of the metabolic scaling theory and water–energy balance equation to model large‐scale patterns of maximum forest canopy height. Global Ecology and Biogeography. 25(12). 1428–1442. 8 indexed citations
6.
Nemani, R. R., et al.. (2015). NASA Earth Exchange (NEX) Supporting Analyses for National Climate Assessments. AGUFM. 2015. 4 indexed citations
7.
Ganguly, Sangram, et al.. (2015). Improving the frequency of high spatial resolution leaf area index maps using Landsat OLI and Sentinel-2 MSI. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
8.
Dungan, Jennifer, et al.. (2014). Improving Nurses' Vasopressor Titration Skills and Self-Efficacy via Simulation-Based Learning. Clinical Simulation in Nursing. 10(6). e291–e299. 20 indexed citations
9.
Wang, Weile, Jennifer Dungan, Hirofumi Hashimoto, et al.. (2010). Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance. Global Change Biology. 17(3). 1367–1378. 23 indexed citations
10.
Ganguly, Sangram, Ramakrishna Nemani, Yuri Knyazikhin, et al.. (2010). A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data. 1–4. 3 indexed citations
11.
Ganguly, Sangram, Jennifer Dungan, Feng Gao, et al.. (2009). Mapping vegetation Leaf Area Index globally at 30m using Landsat/Global Land Survey data. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
12.
Dungan, Jennifer & Ramakrishna Nemani. (2006). Evaluating increases in accuracy achieved by NACP. AGUFM. 2006. 1 indexed citations
13.
Dungan, Jennifer. (2006). Focusing on feature-based differences in map comparison. Journal of Geographical Systems. 8(2). 131–143. 20 indexed citations
14.
Dungan, Jennifer, B. D. Ganapol, & James A. Brass. (2002). Sources of Uncertainty in the Prediction of LAI / fPAR from MODIS. 2002. 2 indexed citations
15.
Hlavka, Christine A. & Jennifer Dungan. (2002). Areal estimates of fragmented land cover: Effects of pixel size and model-based corrections. International Journal of Remote Sensing. 23(4). 711–724. 18 indexed citations
16.
Keller, Richard M. & Jennifer Dungan. (1999). Meta-modeling: a knowledge-based approach to facilitating process model construction and reuse. Ecological Modelling. 119(2-3). 89–116. 17 indexed citations
17.
Curran, Paul J., Jennifer Dungan, Bruce A. Macler, & Stephen Plummer. (1991). The effect of a red leaf pigment on the relationship between red edge and chlorophyll concentration. Remote Sensing of Environment. 35(1). 69–76. 183 indexed citations
18.
Curran, Paul J., Jennifer Dungan, & Henry L. Gholz. (1990). Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. Tree Physiology. 7(1-2-3-4). 33–48. 458 indexed citations
19.
Curran, Paul J. & Jennifer Dungan. (1989). Estimation of signal-to-noise: a new procedure applied to AVIRIS data. IEEE Transactions on Geoscience and Remote Sensing. 27(5). 620–628. 124 indexed citations
20.
Curran, Paul J. & Jennifer Dungan. (1988). Estimating the signal-to-noise ratio of AVIRIS data. NASA STI Repository (National Aeronautics and Space Administration). 3 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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