Jennifer Corcoran

656 total citations
12 papers, 511 citations indexed

About

Jennifer Corcoran is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Jennifer Corcoran has authored 12 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 5 papers in Global and Planetary Change and 3 papers in Ecology. Recurrent topics in Jennifer Corcoran's work include Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (3 papers) and Soil erosion and sediment transport (3 papers). Jennifer Corcoran is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (3 papers) and Soil erosion and sediment transport (3 papers). Jennifer Corcoran collaborates with scholars based in United States, Canada and Uganda. Jennifer Corcoran's co-authors include Joseph Knight, Alisa L. Gallant, Shashi Shekhar, Zhe Jiang, Kevin Murnaghan, Brian Brisco, Xun Zhou, Keith C. Pelletier, Yan Wang and Henry Kajumbula and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Biogeochemical Cycles and Remote Sensing.

In The Last Decade

Jennifer Corcoran

11 papers receiving 495 citations

Peers

Countries citing papers authored by Jennifer Corcoran

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Corcoran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Corcoran

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Assessment of Differential Forest Growth Following Disturbance in Minnesota, USA 2022 ·SHILAP Revista de lepidopterología ·David C. Wilson, (unknown), Jennifer Corcoran	0
2	Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin 2021 ·Remote Sensing ·Michael Battaglia, Sarah Banks, Amir Behnamian, Laura Bourgeau‐Chavez, Brian Brisco, Jennifer Corcoran, Zhaohua Chen, (unknown), (unknown), Joseph Knight, Paul Morin, Kevin Murnaghan, Keith C. Pelletier, Lori White	18
3	A Holistic Monitoring Approach for Water Quality BMP and Forest Watershed Risk Assessment 2018 ·Journal of Forestry ·Robert A. Slesak, Jennifer Corcoran, (unknown)	4
4	The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands 2015 ·Remote Sensing ·Jennifer Corcoran, Joseph Knight, Keith C. Pelletier, (unknown), Yan Wang	37
5	Focal-Test-Based Spatial Decision Tree Learning 2014 ·IEEE Transactions on Knowledge and Data Engineering ·Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph Knight, Jennifer Corcoran	34
6	Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results 2013 ·Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph Knight, Jennifer Corcoran	14
7	Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota 2013 ·Remote Sensing ·Jennifer Corcoran, Joseph Knight, Alisa L. Gallant	176
8	The Effects of Data Selection and Thematic Detail on the Accuracy of High Spatial Resolution Wetland Classifications 2013 ·Photogrammetric Engineering & Remote Sensing ·Joseph Knight, (unknown), Jennifer Corcoran, (unknown)	33
9	Cryptococcal Genotype Influences Immunologic Response and Human Clinical Outcome after Meningitis 2012 ·mBio ·Darin L. Wiesner, (unknown), Jennifer Corcoran, Tami McDonald, Melissa A. Rolfes, David B. Meya, Henry Kajumbula, Andrew Kambugu, Paul R. Bohjanen, Joseph Knight, David R. Boulware, Kirsten Nielsen	72
10	Learning spatial decision tree for geographical classification 2012 ·Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph Knight, Jennifer Corcoran	20
11	The integration of optical, topographic, and radar data for wetland mapping in northern Minnesota 2011 ·Canadian Journal of Remote Sensing ·Jennifer Corcoran, Joseph Knight, Brian Brisco, (unknown), (unknown), Kevin Murnaghan	69
12	Influence of C₄ vegetation on ¹³CO₂ discrimination and isoforcing in the upper Midwest, United States 2010 ·Global Biogeochemical Cycles ·Timothy J. Griffis, John M. Baker, Steve Sargent, M. Erickson, Jennifer Corcoran, Ming Chen, K. Billmark	34

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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