Joseph Knight

3.1k total citations · 1 hit paper
58 papers, 2.3k citations indexed

About

Joseph Knight is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Joseph Knight has authored 58 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, 21 papers in Environmental Engineering and 19 papers in Global and Planetary Change. Recurrent topics in Joseph Knight's work include Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (17 papers) and Remote-Sensing Image Classification (12 papers). Joseph Knight is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (17 papers) and Remote-Sensing Image Classification (12 papers). Joseph Knight collaborates with scholars based in United States, China and Canada. Joseph Knight's co-authors include Ross S. Lunetta, Jayantha Ediriwickrema, John G. Lyon, L D Worthy, Jennifer Corcoran, Alisa L. Gallant, D. J. Mulla, Keith C. Pelletier, Siamak Khorram and Abdelkader El Garouani and has published in prestigious journals such as Ecology, Applied and Environmental Microbiology and Remote Sensing of Environment.

In The Last Decade

Joseph Knight

55 papers receiving 2.2k citations

Hit Papers

Land-cover change detection using multi-temporal MODIS ND... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Knight United States 24 1.3k 1.1k 621 500 404 58 2.3k
Cuizhen Wang United States 33 1.4k 1.1× 1.4k 1.3× 1.2k 1.9× 792 1.6× 290 0.7× 116 3.1k
Éléonore Wolff Belgium 24 1.0k 0.8× 1.0k 0.9× 751 1.2× 505 1.0× 694 1.7× 106 2.6k
Sahel Mahdavi Canada 25 1.4k 1.1× 1.5k 1.3× 934 1.5× 535 1.1× 381 0.9× 49 2.8k
Daniele Ehrlich Italy 27 890 0.7× 1.7k 1.5× 678 1.1× 675 1.4× 553 1.4× 84 2.9k
María Amparo Gilabert Navarro Spain 29 1.7k 1.3× 1.3k 1.2× 848 1.4× 493 1.0× 333 0.8× 88 2.5k
Wenkai Li China 25 1.0k 0.8× 687 0.6× 1.8k 2.9× 268 0.5× 169 0.4× 56 3.0k
Danny Lo Seen France 30 1.5k 1.2× 1.2k 1.0× 466 0.8× 402 0.8× 79 0.2× 70 2.7k
Elisabeth A. Addink Netherlands 24 1.4k 1.1× 885 0.8× 792 1.3× 584 1.2× 794 2.0× 56 2.8k
Myroslava Lesiv Austria 25 896 0.7× 1.1k 1.0× 480 0.8× 370 0.7× 183 0.5× 55 2.0k
Stephen L. Egbert United States 20 1.7k 1.3× 1.2k 1.0× 608 1.0× 585 1.2× 287 0.7× 48 2.4k

Countries citing papers authored by Joseph Knight

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Knight. A scholar is included among the top collaborators of Joseph Knight 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 Joseph Knight. Joseph Knight 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
2.
Marcilio‐Silva, Vinícius, et al.. (2025). Integrating remote sensing and field inventories to understand determinants of urban forest diversity and structure. Ecology. 106(2). e70020–e70020. 6 indexed citations
3.
Keller, Adrienne B., Leslie A. Brandt, Jeannine Cavender‐Bares, Joseph Knight, & Sarah E. Hobbie. (2024). Tree diversity across the Minneapolis‐St. Paul Metropolitan Area in relation to climate and social vulnerability. Ecological Applications. 34(8). e3034–e3034.
4.
Pelletier, Keith C., et al.. (2023). Improving Machine Learning Classifications of Phragmites australis Using Object-Based Image Analysis. Remote Sensing. 15(4). 989–989. 9 indexed citations
5.
Pelletier, Keith C., et al.. (2023). Using Voting-Based Ensemble Classifiers to Map Invasive Phragmites australis. Remote Sensing. 15(14). 3511–3511. 2 indexed citations
6.
Knight, Joseph, et al.. (2022). The Applicability of LandTrendr to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine. Remote Sensing. 14(11). 2662–2662. 8 indexed citations
7.
Battaglia, Michael, Sarah Banks, Amir Behnamian, et al.. (2021). Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin. Remote Sensing. 13(4). 599–599. 18 indexed citations
8.
Russell, Matthew B., et al.. (2021). Suitability of a single imager multispectral sensor for tree health analysis. Urban forestry & urban greening. 63. 127187–127187. 6 indexed citations
9.
Nigon, Tyler J., et al.. (2020). Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery. Remote Sensing. 12(8). 1234–1234. 31 indexed citations
10.
Pelletier, Keith C., Joni Scheftel, Serina L. Robinson, et al.. (2020). Blastomyces dermatitidis Environmental Prevalence in Minnesota: Analysis and Modeling Using Soil Collected at Basal and Outbreak Sites. Applied and Environmental Microbiology. 87(5). 11 indexed citations
11.
Knight, Joseph, Scott M. Thompson, Chad J. Fleming, et al.. (2017). Safety and effectiveness of palliative tunneled peritoneal drainage catheters in the management of refractory malignant and non-malignant ascites. Journal of Vascular and Interventional Radiology. 28(2). S217–S217. 3 indexed citations
12.
Kloiber, Steven M., et al.. (2015). A Semi-Automated, Multi-Source Data Fusion Update of a Wetland Inventory for East-Central Minnesota, USA. Wetlands. 35(2). 335–348. 48 indexed citations
13.
Jiang, Zhe, Shashi Shekhar, Xun Zhou, Joseph Knight, & Jennifer Corcoran. (2014). Focal-Test-Based Spatial Decision Tree Learning. IEEE Transactions on Knowledge and Data Engineering. 27(6). 1547–1559. 34 indexed citations
14.
Jiang, Zhe, Shashi Shekhar, Xun Zhou, Joseph Knight, & Jennifer Corcoran. (2013). Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. 320–329. 14 indexed citations
15.
Wiesner, Darin L., Jennifer Corcoran, Tami McDonald, et al.. (2012). Cryptococcal Genotype Influences Immunologic Response and Human Clinical Outcome after Meningitis. mBio. 3(5). 72 indexed citations
16.
Knight, Joseph, et al.. (2012). Application of MODIS Imagery for Intra-Annual Water Clarity Assessment of Minnesota Lakes. Remote Sensing. 4(7). 2181–2198. 20 indexed citations
17.
Lunetta, Ross S., Joseph Knight, & Jayantha Ediriwickrema. (2005). Land-cover characterization and change detection using multitemporal MODIS NDVI data. 191–194. 15 indexed citations
18.
Knight, Joseph. (2002). Accuracy Assessment of Thematic Maps Using Inter-Class Spectral Distances. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations
20.
Cruickshank, J.K., Jennifer Richardson, Owen Morgan, et al.. (1990). Screening for prolonged incubation of HTLV-I infection in British and Jamaican relatives of British patients with tropical spastic paraparesis.. BMJ. 300(6720). 300–304. 19 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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