World's Best Scientists 2026 revealed!
Ilka Christine Klaas

Ilka Christine Klaas

D-Index & Metrics

Animal Science and Veterinary

D-Index
23
Citations
1786
World Ranking
3083
National Ranking
50

Ilka Christine Klaas 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 Ilka Christine Klaas 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: 52 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Ilka Christine Klaas 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 Ilka Christine Klaas 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: 23 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ilka Christine Klaas is a researcher affiliated with DeLaval in Sweden. Their research focuses primarily on topics related to milk quality and mastitis in dairy cows, animal behavior and welfare studies, genetic and phenotypic traits in livestock, effects of environmental stressors on livestock, probiotics and fermented foods, food supply chain traceability, and animal genetics and reproduction.

The scientist has contributed to several recent papers, including:

  • Novel ways to use sensor data to improve mastitis management, 2021, Journal of Dairy Science
  • The costs of chronic mastitis: A simulation study of an automatic milking system farm, 2022, Preventive Veterinary Medicine
  • Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers, 2022, Computers and Electronics in Agriculture
  • Estimating the nonlinear association of online somatic cell count, lactate dehydrogenase, and electrical conductivity with milk yield, 2022, Journal of Dairy Science
  • Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data, 2020, Journal of Dairy Science

Research has been published in various venues, with a frequent presence in:

  • Journal of Dairy Science
  • Preventive Veterinary Medicine
  • Computers and Electronics in Agriculture
  • Livestock Science
  • SSRN Electronic Journal

Ilka Christine Klaas collaborates frequently with several coauthors, including:

  • H. Hogeveen
  • Ulf Emanuelson
  • John Bonestroo
  • Nils Fall
  • Mariska van der Voort

Their main fields of study include Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology. Within these fields, their subfields of study expand across agronomy and crop science, genetics, small animals, food science, and animal science and zoology.

Best Publications

  • Development and daily management of an explicit strategy of nonuse of antimicrobial drugs in twelve Danish organic dairy herds.

    M. Vaarst;T.W. Bennedsgaard;I. Klaas;T.B. Nissen

  • Danish Stable Schools for Experiential Common Learning in Groups of Organic Dairy Farmers

    M. Vaarst;T.B. Nissen;S. Østergaard;I.C. Klaas

  • A Stochastic Model Simulating Pathogen-Specific Mastitis Control in a Dairy Herd

    S. Østergaard;M.G.G. Chagunda;N.C. Friggens;T.W. Bennedsgaard

  • Reducing use of antimicrobials — Experiences from an intervention study in organic dairy herds in Denmark

    Torben Werner Bennedsgaard;I.C. Klaas;M. Vaarst

  • Bovine mastitis bacteria resolved by MALDI-TOF mass spectrometry.

    Bettina Nonnemann;Ulrike Lyhs;Line Svennesen;Katja Ann Kristensen

  • Systematic Clinical Examinations for Identification of Latent Udder Health Types in Danish Dairy Herds

    I.C. Klaas;C. Enevoldsen;M. Vaarst;H. Houe

  • Cow-Related Risk Factors for Milk Leakage

    I.C. Klaas;C. Enevoldsen;A.K. Ersbøll;U. Tölle

  • Communications of Staphylococcus aureus and non-aureus Staphylococcus species from bovine intramammary infections and teat apex colonization.

    Yasser S. Mahmmod;Yasser S. Mahmmod;Ilka Christine Klaas;Line Svennesen;Karl Pedersen

  • The distribution of clones of Streptococcus agalactiae (group B streptococci) among herdspersons and dairy cows demonstrates lack of host specificity for some lineages.

    Uffe B. Skov Sørensen;Ilka C. Klaas;Jaap Boes;Michael Farre

  • Genomic investigation of Staphylococcus aureus isolates from bulk tank milk and dairy cows with clinical mastitis

    Troels Ronco;Ilka C. Klaas;Marc Stegger;Line Svennesen

  • Is Lameness a Welfare Problem in Dairy Farms with Automatic Milking Systems?

    Unknown

  • Typeability of MALDI-TOF assay for identification of non-aureus staphylococci associated with bovine intramammary infections and teat apex colonization.

    Yasser S Mahmmod;Yasser S Mahmmod;Bettina Nonnemann;Line Svennesen;Karl Pedersen

  • Lameness detection challenges in automated milking systems addressed with partial least squares discriminant analysis.

    E. Garcia;I. Klaas;J.M. Amigo;R. Bro

  • Bayesian estimation of test characteristics of real-time PCR, bacteriological culture and California mastitis test for diagnosis of intramammary infections with Staphylococcus aureus in dairy cattle at routine milk recordings

    Yasser Mahmmod;Nils Toft;Jørgen Katholm;Carsten Grønbæk

  • The association between fetching for milking and dairy cows' behaviour at milking, and avoidance of human approach — An on-farm study in herds with automatic milking systems

    Tine Rousing;Jens Henrik Badsberg;Ilka Christine Klaas;Jens Hindhede

  • Association between teat skin colonization and intramammary infection with Staphylococcus aureus and Streptococcus agalactiae in herds with automatic milking systems

    Line Svennesen;Søren S Nielsen;Yasser S Mahmmod;Volker Krömker

  • Novel ways to use sensor data to improve mastitis management.

    Henk Hogeveen;Ilka C. Klaas;Gunnar Dalen;Hen Honig

  • Estimation of test characteristics of real-time PCR and bacterial culture for diagnosis of subclinical intramammary infections with Streptococcus agalactiae in Danish dairy cattle in 2012 using latent class analysis.

    Yasser S. Mahmmod;Nils Toft;Jørgen Katholm;Carsten Grønbæk

  • Molecular epidemiology and strain-specific characteristics of Streptococcus agalactiae at the herd and cow level.

    Y.S. Mahmmod;Y.S. Mahmmod;I.C. Klaas;J. Katholm;M. Lutton

  • Clinical and haematological study on water buffaloes (Bubalus bubalis) and crossbred cattle naturally infected with Theileria annulata in Sharkia province, Egypt

    Yasser S. Mahmmod;Farouk A. Elbalkemy;Ilka C. Klaas;Mamdouh F. Elmekkawy

  • Latent class analysis of the diagnostic characteristics of PCR and conventional bacteriological culture in diagnosing intramammary infections caused by Staphylococcus aureus in dairy cows at dry off

    Sara Ellinor Cederlöf;Nils Toft;Bent Aalbaek;Ilka Christine Klaas

  • An evaluation of the ability of Dichelobacter nodosus to survive in soil

    Sara Ellinor Cederlöf;Tomas Hansen;Ilka Christine Klaas;Øystein Angen

  • Changes in thermal nociceptive responses in dairy cows following experimentally induced Escherichia coli mastitis.

    Ditte B Rasmussen;Katrine Fogsgaard;Christine M Røntved;Ilka C Klaas

Frequent Co-Authors

Karl Pedersen
Karl Pedersen Aarhus University
Mette Vaarst
Mette Vaarst Aarhus University
Søren Saxmose Nielsen
Søren Saxmose Nielsen University of Copenhagen
Carsten Enevoldsen
Carsten Enevoldsen University of Copenhagen
Ulf Emanuelson
Ulf Emanuelson Swedish University of Agricultural Sciences
Nils Toft
Nils Toft University of Copenhagen
Henk Hogeveen
Henk Hogeveen Wageningen University & Research
Jan Tind Sørensen
Jan Tind Sørensen Aarhus University
Ruth N. Zadoks
Ruth N. Zadoks University of Sydney
Hanne Ingmer
Hanne Ingmer University of Copenhagen

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Finally, understanding the landscape of jobs with animals that pay well helps students make informed career choices in veterinary care, wildlife management, and other lucrative animal-related professions. Combining these educational routes can enhance both personal fulfillment and professional success.

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