World's Best Scientists 2026 revealed!

D-Index & Metrics

Animal Science and Veterinary

D-Index
40
Citations
6755
World Ranking
1150
National Ranking
341

Overview

D. D. Johnson is affiliated with the University of Florida in the United States. Their research spans multiple intersecting areas within engineering and materials science, focusing on the development, characterization, and computational modeling of advanced materials.

Their publication record includes significant contributions to key topics such as:

  • High Entropy Alloys Studies
  • High-Temperature Coating Behaviors
  • Additive Manufacturing Materials and Processes
  • Magnetic and transport properties of perovskites and related materials
  • Intermetallics and Advanced Alloy Properties
  • Machine Learning in Materials Science
  • Advanced Materials Characterization Techniques

The main fields of study for Johnson comprise Engineering and Materials Science, with further specialization in subfields including:

  • Mechanical Engineering
  • Materials Chemistry
  • Aerospace Engineering
  • Electronic, Optical and Magnetic Materials
  • Biomedical Engineering

Johnson's research has been published extensively in well-known scientific venues, among which the most frequent include:

  • Acta Materialia
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Physical Review B
  • npj Computational Materials

Several notable papers authored by Johnson illustrate the breadth and focus of their work:

  • "Towards stacking fault energy engineering in FCC high entropy alloys," 2021, Acta Materialia
  • "Accelerating computational modeling and design of high-entropy alloys," 2021, Nature Computational Science
  • "Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys," 2022, npj Materials Degradation
  • "Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys," 2022, Acta Materialia
  • "Machine learning assisted prediction of the Young's modulus of compositionally complex alloys," 2021, Scientific Reports

Frequent collaborators working alongside Johnson include:

  • Prashant Singh
  • Ganesh Balasubramanian
  • Raymundo Arróyave
  • Gaoyuan Ouyang
  • Yaroslav Mudryk

Johnson's body of work shows a strong integration of machine learning techniques with traditional materials science, aiming to enhance predictive capabilities for alloy properties and corrosion resistance. Their focus on high-entropy alloys and additive manufacturing represents a convergence of computational methods with advanced experimental materials engineering.

Best Publications

  • Consumer evaluation of beef of known categories of tenderness.

    S J Boleman;S L Boleman;R K Miller;J F Taylor

  • Effects of calpastatin and micro-calpain markers in beef cattle on tenderness traits.

    E. Casas;S. N. White;T. L. Wheeler;S. D. Shackelford

  • Assessment of single nucleotide polymorphisms in genes residing on chromosomes 14 and 29 for association with carcass composition traits in Bos indicus cattle

    E. Casas;S. N. White;D. G. Riley;T. P. L. Smith

  • National Beef Tenderness Survey-1998.

    J C Brooks;J B Belew;D B Griffin;B L Gwartney

  • A new single nucleotide polymorphism in CAPN1 extends the current tenderness marker test to include cattle of Bos indicus, Bos taurus, and crossbred descent.

    S. N. White;E. Casas;T. L. Wheeler;S. D. Shackelford

  • Muscle profiling: Characterizing the muscles of the beef chuck and round.

    D.D. Von Seggern;C.R. Calkins;D.D. Johnson;J.E. Brickler

  • Carcass characteristics, the calpain proteinase system, and aged tenderness of Angus and Brahman crossbred steers.

    T. D. Pringle;S. E. Williams;B. S. Lamb;D. D. Johnson

  • National beef tenderness survey – 2006: Assessment of Warner–Bratzler shear and sensory panel ratings for beef from US retail and foodservice establishments

    K.L. Voges;C.L. Mason;J.C. Brooks;R.J. Delmore

  • Effects of percentage Brahman and Angus breeding, age-season of feeding and slaughter end point on meat palatability and muscle characteristics.

    D. D. Johnson;R. D. Huffman;S. E. Williams;D. D. Hargrove

  • Estimated genetic parameters for carcass traits of Brahman cattle.

    D G Riley;C C Chase;A C Hammond;R L West

  • Emulsion Stability and Sensory Quality of Beef Frankfurters Produced at Different Fat or Peanut Oil Levels

    E.J. Marquez;E.M. Ahmed;R.L. West;D.D. Johnson

  • Breed type and sex effects on carcass traits, composition and tenderness of young goats

    D.D. Johnson;C.H. McGowan;G. Nurse;M.R. Anous

  • Assessment of Sodium Lactate Addition to Fresh Pork Sausage

    J. W. Lamkey;F. W. Leak;W. B. Tuley;D. D. Johnson

  • National Beef Tenderness Survey–2010: Warner-Bratzler shear force values and sensory panel ratings for beef steaks from United States retail and food service establishments

    M. R. Guelker;A. N. Haneklaus;J. C. Brooks;C. C. Carr

  • Evaluation of dehydrated restaurant food waste products as feedstuffs for finishing pigs

    R O Myer;J H Brendemuhl;D D Johnson

  • The effects of quality grade, aging, and location within muscle on Warner–Bratzler shear force in beef muscles of locomotion

    C.L. Bratcher;D.D. Johnson;R.C. Littell;B.L. Gwartney

  • Performance, carcass yield, and carcass quality characteristics of steers finished on rhizoma peanut (Arachis glabrata)-tropical grass pasture or concentrate.

    L. L. Bennett;A. C. Hammond;M. J. Williams;W. E. Kunkle

  • Effect of feeding high-oleic-acid peanuts to growing-finishing swine on resulting carcass fatty acid profile and on carcass and meat quality characteristics.

    R. O. Myer;D. D. Johnson;D. A. Knauft;D. W. Gorbet

  • National Beef Quality Audit–2016: In-plant survey of carcass characteristics related to quality, quantity, and value of fed steers and heifers

    C. A. Boykin;L. C. Eastwood;M. K. Harris;D. S. Hale

  • Diet/management effects on carcass attributes and meat quality of young goats

    D.D Johnson;C.H McGowan

  • Effect of sex class on nutrient content of meat from young goat.

    D D Johnson;J S Eastridge;D R Neubauer;C H McGowan

  • Determination of sensory, chemical and cooking characteristics of retail beef cuts differing in intramuscular and external fat.

    G.L. Luchak;R.K. Miller;K.E. Belk;D.S. Hale

  • Estimated genetic parameters for palatability traits of steaks from Brahman cattle

    D. G. Riley;C. C. Chase;A. C. Hammond;R. L. West

  • Benchmarking carcass characteristics and muscles from commercially identified beef and dairy cull cow carcasses for Warner-Bratzler shear force and sensory attributes.

    A. M. Stelzleni;L. E. Patten;D. D. Johnson;Chris R. Calkins

  • Chemical properties of cow and beef muscles: benchmarking the differences and similarities.

    L. E. Patten;J. M. Hodgen;A. M. Stelzleni;C. R. Calkins

  • Factors influencing tenderness in steaks from Brahman cattle.

    D.G. Riley;D.D. Johnson;C.C. Chase;R.L. West

Frequent Co-Authors

J. W. Savell
J. W. Savell Texas A&M University
Mauricio A. Elzo
Mauricio A. Elzo University of Florida
D. S. Hale
D. S. Hale Texas A&M University
G. C. Smith
G. C. Smith Texas A&M University
Raluca G. Mateescu
Raluca G. Mateescu University of Florida
T. D. Pringle
T. D. Pringle University of Florida
Chris R. Calkins
Chris R. Calkins University of Nebraska–Lincoln
Chris R. Kerth
Chris R. Kerth Texas A&M University
H.R. Cross
H.R. Cross Texas A&M University
Keith E. Belk
Keith E. Belk Colorado State University

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Related Online Degrees & Career Pathways

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Finally, for those interested in behavioral science, pursuing a bcba degree provides specialized skills in behavior analysis, which can be applied to training animals and advancing animal welfare initiatives.

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