World's Best Scientists 2026 revealed!
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Animal Science and Veterinary
USA
2023

D-Index & Metrics

Animal Science and Veterinary

D-Index
58
Citations
17909
World Ranking
372
National Ranking
135

Danny G. Fox 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 Danny G. Fox 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: 162 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Danny G. Fox 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 Danny G. Fox 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: 58 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Animal Science and Veterinary in United States Leader Award

Overview

Danny G. Fox is affiliated with Cornell University in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and Computer Vision and Pattern Recognition as key subfields.

The main topics covered in their work include:

  • Topic Modeling
  • Hate Speech and Cyberbullying Detection
  • Text Readability and Simplification
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications

Their recent published papers are:

  • Interpretable Unified Language Checking, 2023, arXiv (Cornell University)
  • SAIL: Search-Augmented Instruction Learning, 2023, arXiv (Cornell University)

Both papers were published in arXiv as part of Cornell University's research outputs.

Frequent coauthors who have collaborated with Danny G. Fox include:

  • Tianhua Zhang
  • Hongyin Luo
  • Yung-Sung Chuang
  • Xixin Wu
  • Helen Meng

Their publications and collaborations reflect an integration of multiple aspects of natural language processing and machine learning techniques, applied to topics such as language checking, instruction learning, and multimodal data analysis. The work contributes to advancing computational approaches in interpreting and generating language as well as detecting complex phenomena like hate speech and cyberbullying through automated systems.

Best Publications

  • A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability.

    C J Sniffen;J D O'Connor;P J Van Soest;D G Fox

  • A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation.

    J B Russell;J D O'Connor;D G Fox;P J Van Soest

  • The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion

    D.G Fox;L.O Tedeschi;T.P Tylutki;J.B Russell

  • A net carbohydrate and protein system for evaluating cattle diets: III. Cattle requirements and diet adequacy.

    D G Fox;C J Sniffen;J D O'Connor;J B Russell;J B Russell;J B Russell

  • A mechanistic model for predicting the nutrient requirements and feed biological values for sheep

    A. Cannas;L. O. Tedeschi;D. G. Fox;A. N. Pell

  • Cornell Net Carbohydrate and Protein System: A model for precision feeding of dairy cattle

    T.P. Tylutki;D.G. Fox;V.M. Durbal;L.O. Tedeschi

  • Potential environmental benefits of ionophores in ruminant diets.

    Luis Orlindo Tedeschi;Danny Gene Fox;Thomas Paul Tylutki

  • Effects of three prepubertal body growth rates on performance of holstein heifers during first lactation

    M.E. Van Amburgh;D.M. Galton;D.E. Bauman;R.W. Everett

  • A net carbohydrate and protein system for evaluating cattle diets: IV. Predicting amino acid adequacy.

    J D O'Connor;C J Sniffen;D G Fox;W Chalupa

  • A system for Predicting Body Composition and Performance of Growing Cattle

    D. G. Fox;J. R. Black

  • Prediction of ruminal volatile fatty acids and pH within the net carbohydrate and protein system

    R E Pitt;J S Van Kessel;D G Fox;A N Pell

  • A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth

    Luis Orlindo Tedeschi;Danny G. Fox;Pablo J. Guiroy

  • Adjusting Nutrient Requirements of Beef Cattle for Animal and Environmental Variations

    D. G. Fox;C. J. Sniffen;J. D. O'Connor

  • A revised CNCPS feed carbohydrate fractionation scheme for formulating rations for ruminants

    Cristina Lanzas;C J Sniffen;S Seo;L O Tedeschi

  • The effects of implant strategy on finished body weight of beef cattle

    P. J. Guiroy;L. O. Tedeschi;D. G. Fox;J. P. Hutcheson

  • Accounting for the Effects of Environment on the Nutrient Requirements of Dairy Cattle

    D.G. Fox;T.P. Tylutki

  • Predicting amino acid adequacy of diets fed to Holstein steers.

    S J Ainslie;D G Fox;T C Perry;D J Ketchen

  • A nutrition mathematical model to account for dietary supply and requirements of energy and other nutrients for domesticated small ruminants: The development and evaluation of the Small Ruminant Nutrition System

    L.O. Tedeschi;A. Cannas;D.G. Fox

  • Predicting individual feed requirements of cattle fed in groups.

    P J Guiroy;D G Fox;L O Tedeschi;M J Baker

  • Predicting forage indigestible NDF from lignin concentration.

    M. J. Traxler;D. G. Fox;P. J. Van Soest;A. N. Pell

  • Effect of monensin on the performance and nitrogen utilization of lactating dairy cows consuming fresh forage.

    R. Ruiz;G.L. Albrecht;L.O. Tedeschi;G. Jarvis

  • Relationship Between Body Condition Score and Composition of Ninth to Eleventh Rib Tissue in Holstein Dairy Cows

    K.L. Otto;J.D. Ferguson;D.G. Fox;C.J. Sniffen

  • THE NET CARBOHYDRATE AND PROTEIN SYSTEM FOR EVALUATING HERD NUTRITION AND NUTRIENT EXCRETION

    D. G. Fox;T. P. Tylutki;L. O. Tedeschi;M. E. Van Amburgh

  • Effect of an implant of trenbolone acetate and estradiol on growth, feed efficiency, and carcass composition of Holstein and beef steers

    T. C. Perry;D. G. Fox;D. H. Beermann

  • Phosphorus reduction through precision feeding of dairy cattle

    P.E. Cerosaletti;D.G. Fox;L.E. Chase

  • Compensatory Gain by Holstein Calves After Underfeeding Protein

    H. O. Abdalla;D. G. Fox;M. L. Thonney

  • Development and evaluation of empirical equations to predict feed passage rate in cattle

    S Seo;L O Tedeschi;Cristina Lanzas;C G Schwab

  • Predicting Requirements for Growth, Maturity, and Body Reserves in Dairy Cattle

    D.G. Fox;M.E. Van Amburgh;T.P. Tylutki

  • The development and evaluation of the Small Ruminant Nutrition System

    A. Cannas;L. O. Tedeschi;A. S. Atzori;D. G. Fox

Frequent Co-Authors

Luis O. Tedeschi
Luis O. Tedeschi Texas A&M University
Alice N. Pell
Alice N. Pell Cornell University
James B. Russell
James B. Russell Agricultural Research Service
Charles J. Sniffen
Charles J. Sniffen Cornell University
Robert W. Blake
Robert W. Blake Cornell University
P. J. Van Soest
P. J. Van Soest Cornell University
Antonello Cannas
Antonello Cannas University of Sassari
M.E. Van Amburgh
M.E. Van Amburgh Cornell University
Dante Pazzanese Duarte Lanna
Dante Pazzanese Duarte Lanna Universidade de São Paulo
Debbie J. R. Cherney
Debbie J. R. Cherney Cornell University

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Related Online Degrees & Career Pathways

For those interested in Animal Science and Veterinary fields, exploring related online degrees can broaden career opportunities. Psychology and counseling programs offer vital skills in understanding animal behavior, as well as improving human-animal interactions. For example, finding nasp approved online programs can provide specialized training in school psychology, which is integral to behavioral studies relevant to animals and humans alike.

Mental health plays a crucial role in overall wellbeing, including in veterinary clientele situations. Aspiring professionals might consider online apa accredited psyd programs that offer practical clinical training applicable to animal-assisted therapy and related interventions.

Moreover, addiction and family dynamics often influence pet ownership and care. Earning credentials from accredited online colleges for drug and alcohol counseling or enrolling in the best online mft programs can equip individuals with counseling skills that complement animal welfare practices, making these pathways valuable for a holistic career approach.

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