World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
34
Citations
5029
World Ranking
1844
National Ranking
531

Jeffrey M. Bewley publication distribution in Animal Science and Veterinary in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Animal Science and Veterinary in 2026. The highlighted bar marks where Jeffrey M. Bewley sits on this spectrum.

29–33 publications: 1 scientists 34–38 publications: 6 scientists 39–43 publications: 17 scientists 44–48 publications: 23 scientists 49–53 publications: 28 scientists 54–58 publications: 44 scientists 59–63 publications: 66 scientists 64–68 publications: 75 scientists 69–73 publications: 71 scientists 74–78 publications: 85 scientists 79–83 publications: 108 scientists 84–88 publications: 105 scientists 89–93 publications: 84 scientists 94–98 publications: 103 scientists 99–103 publications: 97 scientists 104–108 publications: 95 scientists 109–113 publications: 89 scientists 114–118 publications: 88 scientists 119–123 publications: 109 scientists 124–128 publications: 93 scientists 129–133 publications: 89 scientists 134–138 publications: 95 scientists 139–143 publications: 92 scientists 144–148 publications: 80 scientists 149–153 publications: 75 scientists 154–158 publications: 74 scientists 159–163 publications: 67 scientists 164–168 publications: 53 scientists 169–173 publications: 62 scientists 174–178 publications: 63 scientists 179–183 publications: 50 scientists 184–188 publications: 55 scientists 189–193 publications: 50 scientists 194–198 publications: 27 scientists 199–203 publications: 44 scientists 204–208 publications: 31 scientists 209–213 publications: 28 scientists 214–218 publications: 38 scientists 219–223 publications: 33 scientists 224–228 publications: 36 scientists 229–233 publications: 29 scientists 234–238 publications: 35 scientists 239–243 publications: 23 scientists 244–248 publications: 24 scientists 249–253 publications: 29 scientists 254–258 publications: 28 scientists 259–263 publications: 21 scientists 264–268 publications: 25 scientists 269–273 publications: 11 scientists 274–278 publications: 18 scientists 279–283 publications: 13 scientists 284–288 publications: 18 scientists 289–293 publications: 10 scientists 294–298 publications: 12 scientists 299–303 publications: 11 scientists 304–308 publications: 15 scientists 309–313 publications: 14 scientists 314–318 publications: 14 scientists 319–323 publications: 8 scientists 324–328 publications: 8 scientists 329–333 publications: 13 scientists 334–338 publications: 14 scientists 339–343 publications: 13 scientists 344–348 publications: 10 scientists 349–353 publications: 11 scientists 354–358 publications: 5 scientists 359–363 publications: 8 scientists 364–368 publications: 8 scientists 369–373 publications: 6 scientists 374–378 publications: 7 scientists 379–383 publications: 8 scientists 384–388 publications: 3 scientists 389–393 publications: 4 scientists 394–398 publications: 5 scientists 399–403 publications: 8 scientists 404–408 publications: 5 scientists 409–413 publications: 4 scientists 414–418 publications: 3 scientists 419–423 publications: 8 scientists 424–428 publications: 5 scientists 429–433 publications: 3 scientists 434–438 publications: 5 scientists 439–441 publications: 5 scientists 442+ publications: 99 scientists
29 publications 442+

This scientist: 100 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 442 publications or more.

Jeffrey M. Bewley D-index placement in Animal Science and Veterinary in 2026

The chart shows the D-index (discipline H-index) distribution of Animal Science and Veterinary scientists ranked by Research.com in 2026. The highlighted bar marks where Jeffrey M. Bewley sits on this spectrum.

20 D-Index: 5 scientists 21 D-Index: 22 scientists 22 D-Index: 31 scientists 23 D-Index: 44 scientists 24 D-Index: 53 scientists 25 D-Index: 66 scientists 26 D-Index: 80 scientists 27 D-Index: 101 scientists 28 D-Index: 106 scientists 29 D-Index: 116 scientists 30 D-Index: 154 scientists 31 D-Index: 158 scientists 32 D-Index: 143 scientists 33 D-Index: 137 scientists 34 D-Index: 126 scientists 35 D-Index: 134 scientists 36 D-Index: 112 scientists 37 D-Index: 115 scientists 38 D-Index: 105 scientists 39 D-Index: 111 scientists 40 D-Index: 107 scientists 41 D-Index: 87 scientists 42 D-Index: 74 scientists 43 D-Index: 62 scientists 44 D-Index: 61 scientists 45 D-Index: 41 scientists 46 D-Index: 51 scientists 47 D-Index: 43 scientists 48 D-Index: 28 scientists 49 D-Index: 47 scientists 50 D-Index: 40 scientists 51 D-Index: 34 scientists 52 D-Index: 33 scientists 53 D-Index: 43 scientists 54 D-Index: 16 scientists 55 D-Index: 32 scientists 56 D-Index: 21 scientists 57 D-Index: 18 scientists 58 D-Index: 28 scientists 59 D-Index: 33 scientists 60 D-Index: 17 scientists 61 D-Index: 21 scientists 62 D-Index: 18 scientists 63 D-Index: 21 scientists 64 D-Index: 9 scientists 65 D-Index: 20 scientists 66 D-Index: 11 scientists 67 D-Index: 16 scientists 68 D-Index: 12 scientists 69 D-Index: 17 scientists 70 D-Index: 13 scientists 71 D-Index: 15 scientists 72 D-Index: 11 scientists 73 D-Index: 11 scientists 74 D-Index: 14 scientists 75 D-Index: 5 scientists 76 D-Index: 6 scientists 77+ D-Index: 100 scientists
20 D-Index 77+

This scientist: 34 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 77 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Agriculture
  • Ecology

Jeffrey M. Bewley mainly investigates Dairy cattle, Animal science, Ice calving, Lying and Milking. His Dairy cattle research is multidisciplinary, relying on both Statistics and Body condition. His Herd study in the realm of Animal science connects with subjects such as Gradual increase.

His Metritis study in the realm of Ice calving interacts with subjects such as Retained placenta, Mastitis, Reticular connective tissue and Latin square. Jeffrey M. Bewley has researched Milking in several fields, including Rectal temperature and Drinking bout. His study on Milk fever is often connected to Biotechnology as part of broader study in Lactation.

His most cited work include:

  • Potential for estimation of body condition scores in dairy cattle from digital images. (92 citations)
  • Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor. (88 citations)
  • A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors (82 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Animal science, Dairy cattle, Herd, Agricultural science and Milking. Jeffrey M. Bewley has included themes like Mastitis and Compost in his Animal science study. His Mastitis research is multidisciplinary, incorporating perspectives in Culling and Biotechnology.

His Dairy cattle study frequently links to other fields, such as Statistics. His study on Herd is covered under Veterinary medicine. His research integrates issues of Dairy farming, Agriculture and Decision support system in his study of Agricultural science.

He most often published in these fields:

  • Animal science (46.84%)
  • Dairy cattle (30.38%)
  • Herd (21.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • Animal science (46.84%)
  • Dairy cattle (30.38%)
  • Reticulorumen (10.13%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Animal science, Dairy cattle, Reticulorumen, Digital dermatitis and Agricultural science. The study incorporates disciplines such as Morning and Compost in addition to Animal science. His biological study spans a wide range of topics, including Milking and Estrous cycle.

Reticulorumen is intertwined with Uterine discharge, Blood serum, Disease detection, Lactose and Step count in his study. His study of Digital dermatitis brings together topics like Total cost, Parity, Demography and Lactation. In most of his Agricultural science studies, his work intersects topics such as Decision support system.

Between 2018 and 2021, his most popular works were:

  • Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production (48 citations)
  • Automated estrous detection using multiple commercial precision dairy monitoring technologies in synchronized dairy cows. (16 citations)
  • Validation of a Commercial Automated Body Condition Scoring System on a Commercial Dairy Farm. (7 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Agriculture
  • Ecology

Jeffrey M. Bewley mainly focuses on Dairy cattle, Automation, Animal welfare, Agriculture and Wearable technology. His research on Dairy cattle frequently links to adjacent areas such as Statistics. His Automation research encompasses a variety of disciplines, including Sustainable agriculture, Developing country, Consumption and Environmental economics.

Best Publications

  • Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production

    Ilan Halachmi;Marcella Guarino;Jeffrey Bewley;Matti Pastell

  • A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors

    M.R. Borchers;Y.M. Chang;I.C. Tsai;B.A. Wadsworth

  • An Interdisciplinary Review of Body Condition Scoring for Dairy Cattle

    J.M. Bewley;J.M. Bewley;M.M. Schutz

  • Estimating US dairy clinical disease costs with a stochastic simulation model

    D. Liang;L.M. Arnold;C.J. Stowe;R.J. Harmon

  • Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.

    M.R. Borchers;Y.M. Chang;K.L. Proudfoot;B.A. Wadsworth

  • Potential for estimation of body condition scores in dairy cattle from digital images.

    J. M. Bewley;A. M. Peacock;O. Lewis;R. E. Boyce

  • Compost bedded pack dairy barn management, performance, and producer satisfaction.

    R.A. Black;J.L. Taraba;G.B. Day;F.A. Damasceno

  • A 100-Year Review: Lactating dairy cattle housing management

    J.M. Bewley;L.M. Robertson;E.A. Eckelkamp

  • An assessment of producer precision dairy farming technology use, prepurchase considerations, and usefulness

    M.R. Borchers;J.M. Bewley

  • Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor.

    Jeffrey M Bewley;Robert E Boyce;Jeremy Hockin;Lene Munksgaard

  • Impact of intake water temperatures on reticular temperatures of lactating dairy cows.

    J.M. Bewley;M.W. Grott;M.E. Einstein;M.M. Schutz

  • Automatic assessment of dairy cattle body condition score using thermal imaging

    I. Halachmi;M. Klopčič;P. Polak;D.J. Roberts

  • Comparison of reticular and rectal core body temperatures in lactating dairy cows.

    J.M. Bewley;M.E. Einstein;M.W. Grott;M.M. Schutz

  • An overview of experiences of Wisconsin dairy farmers who modernized their operations.

    J. Bewley;R. W. Palmer;Douglas B. Jackson-Smith

  • Behavioral and physiological changes around estrus events identified using multiple automated monitoring technologies.

    K.A. Dolecheck;W.J. Silvia;G. Heersche;Y.M. Chang

  • A comparison of free-stall barns used by modernized Wisconsin dairies.

    J. Bewley;R. W. Palmer;Douglas B. Jackson-Smith

  • Precision Dairy Farming: Advanced Analysis Solutions for Future Profitability

    Jeffrey Bewley

  • Influence of breed, milk yield, and temperature-humidity index on dairy cow lying time, neck activity, reticulorumen temperature, and rumination behavior.

    A.E. Stone;B.W. Jones;C.A. Becker;J.M. Bewley

  • Animal board invited review: Dairy cow lameness expenditures, losses and total cost.

    K. Dolecheck;J. Bewley

  • Automatic lameness detection in dairy cattle based on leg swing analysis with an image processing technique

    K. Zhao;K. Zhao;J.M. Bewley;D. He;X. Jin

  • Characterization of Kentucky dairy producer decision-making behavior.

    R.A. Russell;J.M. Bewley

Frequent Co-Authors

Michael M Schutz
Michael M Schutz Purdue University West Lafayette
Di Liang
Di Liang Hewlett-Packard (United States)
Henk Hogeveen
Henk Hogeveen Wageningen University & Research
Susan D. Eicher
Susan D. Eicher Purdue University West Lafayette
Ilan Halachmi
Ilan Halachmi Agricultural Research Organization
Mike Coffey
Mike Coffey Scotland's Rural College
Robert J. Harmon
Robert J. Harmon University of Kentucky
Marcos Inácio Marcondes
Marcos Inácio Marcondes Universidade Federal de Viçosa
Lene Munksgaard
Lene Munksgaard Aarhus University
Stephen P. Oliver
Stephen P. Oliver University of Tennessee at Knoxville

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Related Online Degrees & Career Pathways

For students interested in Animal Science and Veterinary studies, exploring related disciplines can broaden career opportunities. One such area is mental health support for families, with many professionals pursuing online marriage and family therapy masters programs. These programs prepare graduates to support the well-being of families, including those affected by pet loss and animal-related stress.

For those passionate about advanced practice and research, online counseling PhD programs offer affordable pathways to become experts in counseling, a skill valuable in veterinary behavioral health and animal-assisted therapy fields.

Students focused specifically on animals should also consider exploring animal degrees. These programs cover a wide range of careers, from wildlife management to veterinary technology, providing flexible options to match interests with futures in animal care and research.

Additionally, some graduates may pursue leadership roles in sports and education, such as becoming athletic directors. Understanding compensation and career steps through resources like how much do athletic directors make helps in evaluating career flexibility beyond traditional veterinary paths.

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