World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
6327
World Ranking
7442
National Ranking
2651

Overview

James H. Everitt is affiliated with the Agricultural Research Service in the United States. Their research contributions span several intersecting scientific disciplines including mathematics, computer science, and physics and astronomy.

Everitt's work focuses on topics related to mathematical dynamics and fractals, topological and geometric data analysis, and theoretical and computational physics. These topics demonstrate a broad engagement with both theoretical frameworks and computational methods within complex systems and data structures.

The scientist has published in multiple venues, including:

  • arXiv (Cornell University)
  • Proceedings of the Royal Society of Edinburgh Section A Mathematics

Recent papers by Everitt include:

  • Distribution in homology classes and discrete fractal dimension, 2023, arXiv (Cornell University)
  • Distribution in homology classes and discrete fractal dimension, 2024, Proceedings of the Royal Society of Edinburgh Section A Mathematics

Frequent co-authors include:

  • Richard R. Sharp (2 publications)

Everitt's subfields of study illustrate a specialization in interdisciplinary areas bridging physics and computation, including:

  • Mathematical Physics
  • Computational Theory and Mathematics
  • Condensed Matter Physics

The scientist's contributions address complex phenomena through theoretical and computational approaches, often employing sophisticated mathematical tools to analyze fractals and topological data structures.

Best Publications

  • Remote Sensing Techniques to Assess Water Quality

    Jerry C. Ritchie;Paul V. Zimba;James H. Everitt

  • Applications and Research Using Remote Sensing for Rangeland Management

    E. Raymond Hunt;James H. Everitt;Jerry C. Ritchie;M. Susan Moran

  • Using spectral vegetation indices to estimate rangeland productivity

    Arthur J. Richardson;James H. Everitt

  • Original paper: Evaluating high resolution SPOT 5 satellite imagery for crop identification

    Chenghai Yang;James H. Everitt;Dale Murden

  • Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture

    Chenghai Yang;J. H. Everitt;Qian Du;Bin Luo

  • Use of remote sensing for detecting and mapping leafy spurge (Euphorbia esula)

    James H. Everitt;Gerald L. Anderson;David E. Escobar;Michael R. Davis

  • Photographic and videographic observations for determining and mapping the response of cotton to soil salinity

    C.L Wiegand;J.D Rhoades;D.E Escobar;J.H Everitt

  • Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability

    Chenghai Yang;James H. Everitt;Joe M. Bradford;Dale Murden

  • USING SPATIAL INFORMATION TECHNOLOGIES TO MAP CHINESE TAMARISK (TAMARIX CHINENSIS) INFESTATIONS

    James H. Everitt;David E. Escobar;Mario A. Alaniz;Michael R. Davis

  • Airborne videography : current status and future perspectives

    P. W. Mausel;J. H. Everitt;D. E. Escobar;D. J. King

  • Using satellite data to map false broomweed (Ericameria austrotexana) infestations on south Texas rangelands.

    Gerald L. Anderson;James H. Everitt;Arthur J. Richardson;David E. Escobar

  • MEASURING CANOPY STRUCTURE WITH AN AIRBORNE LASER ALTIMETER

    J. C. Ritchie;D. L. Evans;D. Jacobs;J. H. Everitt

  • Remote Sensing of Chinese Tamarisk (Tamarix chinensis) and Associated Vegetation

    Unknown

  • A CCD Camera‐based Hyperspectral Imaging System for Stationary and Airborne Applications

    Chenghai Yang;James H. Everitt;Michael R. Davis;Chengye Mao

  • Comparison of QuickBird Satellite Imagery and Airborne Imagery for Mapping Grain Sorghum Yield Patterns

    Chenghai Yang;James H. Everitt;Joe M. Bradford

  • Relationships Between Yield Monitor Data and Airborne Multidate Multispectral Digital Imagery for Grain Sorghum

    Chenghai Yang;James H. Everitt

  • Airborne hyperspectral imagery and linear spectral unmixing for mapping variation in crop yield

    Chenghai Yang;James H. Everitt;Joe M. Bradford

  • Using Airborne Digital Imagery for Detecting Oak Wilt Disease.

    J. H. Everitt;D. E. Escobar;D. N. Appel;W. G. Riggs

  • Airborne laser measurements of rangeland canopy cover and distribution.

    Jerry C. Ritchie;James H. Everitt;David E. Escobar;Thomas J. Jackson

  • Spring food habits of white-tailed deer in the south Texas plains

    Unknown

  • Mapping leafy spurge (euphorbia esula) infestations using aerial photography and geographic information systems

    G. L. Anderson;J. H. Everitt;D. E. Escobar;N. R. Spencer

  • Leaf reflectance-nitrogen-chlorophyll relations in buffelgrass

    J.H. Everitt;A.J. Richardson;H.W. Gausman

  • Using Remote Sensing to Distinguish Common (Isocoma coronopifolia) and Drummond Goldenweed (Isocoma drummondii)1

    James H. Everitt;Mario A. Alaniz;David E. Escobar;Michael R. Davis

  • Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas Gulf coast.

    Chenghai Yang;James H. Everitt;Reginald S. Fletcher;Ryan R. Jensen

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Jerry C. Ritchie
Jerry C. Ritchie Agricultural Research Service
Thomas J. Jackson
Thomas J. Jackson Agricultural Research Service
Mark A. Weltz
Mark A. Weltz US Department of Agriculture
Tong-Xian Liu
Tong-Xian Liu Northwest A&F University
Glenn J. Fitzgerald
Glenn J. Fitzgerald University of Melbourne
Kris M. Havstad
Kris M. Havstad Agricultural Research Service
Jerry L. Hatfield
Jerry L. Hatfield Iowa State University
Albert Rango
Albert Rango United States Department of Agriculture
Paul J. Pinter
Paul J. Pinter Agricultural Research Service

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