J. H. Everitt

5.8k total citations
206 papers, 4.4k citations indexed

About

J. H. Everitt is a scholar working on Ecology, Plant Science and Ecological Modeling. According to data from OpenAlex, J. H. Everitt has authored 206 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Ecology, 60 papers in Plant Science and 38 papers in Ecological Modeling. Recurrent topics in J. H. Everitt's work include Remote Sensing in Agriculture (104 papers), Rangeland and Wildlife Management (49 papers) and Species Distribution and Climate Change (38 papers). J. H. Everitt is often cited by papers focused on Remote Sensing in Agriculture (104 papers), Rangeland and Wildlife Management (49 papers) and Species Distribution and Climate Change (38 papers). J. H. Everitt collaborates with scholars based in United States, United Kingdom and Egypt. J. H. Everitt's co-authors include Chenghai Yang, D. E. Escobar, A. J. Richardson, Jerry C. Ritchie, Paul V. Zimba, J. M. Bradford, M. R. Davis, Michael R. Davis, Gerald L. Anderson and C. J. Deloach and has published in prestigious journals such as Remote Sensing of Environment, Proceedings of the IEEE and Animal Behaviour.

In The Last Decade

J. H. Everitt

193 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. H. Everitt United States 36 3.1k 1.2k 1.1k 939 555 206 4.4k
Renaud Mathieu South Africa 38 2.9k 0.9× 613 0.5× 1.8k 1.7× 1.7k 1.8× 570 1.0× 113 4.7k
Carol A. Wessman United States 34 2.6k 0.8× 768 0.6× 856 0.8× 2.0k 2.1× 524 0.9× 64 4.2k
Martin Schlerf Netherlands 36 3.6k 1.2× 1.7k 1.5× 1.7k 1.6× 1.7k 1.8× 505 0.9× 94 4.7k
Moses Azong Cho South Africa 31 3.8k 1.2× 1.2k 1.0× 1.9k 1.8× 1.4k 1.5× 746 1.3× 98 4.7k
Donald W. Deering United States 22 3.5k 1.1× 992 0.8× 2.1k 2.0× 2.3k 2.5× 349 0.6× 62 4.7k
Joachim Hill Germany 40 2.7k 0.9× 558 0.5× 2.2k 2.1× 1.9k 2.0× 343 0.6× 111 5.0k
Christopher Conrad Germany 36 2.5k 0.8× 736 0.6× 1.0k 0.9× 2.1k 2.3× 257 0.5× 168 4.5k
Zbyněk Malenovský Australia 30 3.3k 1.1× 1.2k 1.0× 2.0k 1.9× 1.9k 2.0× 606 1.1× 89 4.7k
Elizabeth M. Middleton United States 36 2.7k 0.9× 881 0.7× 1.2k 1.1× 2.4k 2.6× 393 0.7× 99 4.1k
Stephen Plummer United Kingdom 33 3.1k 1.0× 1.1k 0.9× 1.9k 1.8× 2.7k 2.9× 283 0.5× 60 5.0k

Countries citing papers authored by J. H. Everitt

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Everitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Everitt. 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 J. H. Everitt. The network helps show where J. H. Everitt may publish in the future.

Co-authorship network of co-authors of J. H. Everitt

This figure shows the co-authorship network connecting the top 25 collaborators of J. H. Everitt. A scholar is included among the top collaborators of J. H. Everitt 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 J. H. Everitt. J. H. Everitt 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.
Summy, K. R., et al.. (2010). Detection of Incipient Pest Infestations on Glasshouse Crops Using Multispectral Imagery and a Common Vegetation Index. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 62. 56. 1 indexed citations
2.
Fletcher, Reginald S. & J. H. Everitt. (2007). A six-camera digital video imaging system sensitive to visible, red edge, near-infrared, and mid-infrared wavelengths. Geocarto International. 22(2). 75–86. 3 indexed citations
3.
Yang, Chunlin, et al.. (2006). Assessing Cotton Stalk Destruction with Herbicides Using Remote Sensing Technology. ˜The œjournal of cotton science/Journal of cotton science. 10(2). 8 indexed citations
4.
Everitt, J. H., Chenghai Yang, & C. J. Deloach. (2005). Remote Sensing of Giant Reed with QuickBird Satellite Imagery. Journal of Aquatic Plant Management. 48 indexed citations
5.
French, J. Victor, Robert I. Lonard, & J. H. Everitt. (2003). Cissus sicyoides C. Linnaeus (Vitaceae), a Potential Exotic Pest in the Lower Rio Grande Valley, Texas. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 55. 72.
6.
Yang, Chen, et al.. (2003). Mapping cotton yield variability using airborne hyperspectral imagery and yield monitor data.. 1338–1352. 1 indexed citations
7.
Summy, K. R., Christopher R. Little, J. H. Everitt, et al.. (2003). Detecting Stress in Glasshouse Plants Using Color Infrared Imagery: A Potential New Application for Remote Sensing. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 55. 51. 10 indexed citations
8.
Everitt, J. H., et al.. (1999). Using remote sensing and spatial information technologies to detect and map two aquatic macrophytes.. Journal of Aquatic Plant Management. 71–80. 51 indexed citations
9.
Everitt, J. H., Frank W. Judd, D. E. Escobar, & M. R. Davis. (1996). Integration of Remote Sensing and Spatial Information Technologies for Mapping Black Mangrove on the Texas Gulf Coast. Journal of Coastal Research. 12(1). 64–69. 32 indexed citations
10.
Britton, Carlton M., et al.. (1996). Total Ground-Cover Estimates from Corrected Scene Brightness Measurements. Photogrammetric Engineering & Remote Sensing. 62(2). 147–150. 3 indexed citations
11.
Everitt, J. H., D. E. Escobar, K. R. Summy, & M. R. Davis. (1994). Using airborne video, global positioning system, and geographical information system technologies for detecting and mapping citrus blackfly infestations.. Southwestern Entomologist. 19(2). 129–138. 31 indexed citations
12.
Judd, Frank W., Robert I. Lonard, J. H. Everitt, D. E. Escobar, & R. B. Davis. (1991). Resilience of Seacoast Bluestem Barrier Island Communities. 3513–3524. 1 indexed citations
13.
Everitt, J. H., et al.. (1990). Mapping native plant communities with color-infrared video imagery. 16(3). 96–100. 7 indexed citations
14.
Gonzalez, C. L. & J. H. Everitt. (1990). Fertilizer effects on the quality and production of prickly pear cactus and its wildlife value. 3–13. 2 indexed citations
15.
Judd, Frank W., et al.. (1989). Effects of Vehicular Traffic in the Secondary Dunes and Vegetated Flats of South Padre Island, Texas. 4634–4645. 2 indexed citations
16.
Everitt, J. H., et al.. (1988). USING MULTISPECTRAL VIDEO IMAGERY FOR DETECTING SOIL SURFACE CONDITIONS. Photogrammetric Engineering & Remote Sensing. 55(4). 467–471. 3 indexed citations
17.
Everitt, J. H., A. J. Richardson, & P. R. Nixon. (1986). Canopy reflectance characteristics of succulent and nonsucculent rangeland plant species. Photogrammetric Engineering & Remote Sensing. 52(12). 1891–1897. 25 indexed citations
18.
Everitt, J. H., A. J. Richardson, & H. W. Gausman. (1985). Leaf reflectance-nitrogen-chlorophyll relations in buffelgrass. Photogrammetric Engineering & Remote Sensing. 51(4). 463–466. 46 indexed citations
19.
Everitt, J. H., A. H. Gerbermann, & J. A. Cuellar. (1977). DISTINGUISHING SALINE FROM NON-SALINE RANGELANDS WITH SKYLAD IMAGERY. Photogrammetric Engineering & Remote Sensing. 43(8). 1 indexed citations
20.
Wiegand, C. L., H. W. Gausman, R. W. Leamer, et al.. (1976). Soil, water, and vegetation conditions in south Texas. NASA STI Repository (National Aeronautics and Space Administration). 1976. 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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