Fritha M. Langford

1.0k total citations
35 papers, 741 citations indexed

About

Fritha M. Langford is a scholar working on Small Animals, Genetics and Animal Science and Zoology. According to data from OpenAlex, Fritha M. Langford has authored 35 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Small Animals, 15 papers in Genetics and 12 papers in Animal Science and Zoology. Recurrent topics in Fritha M. Langford's work include Animal Behavior and Welfare Studies (24 papers), Human-Animal Interaction Studies (13 papers) and Effects of Environmental Stressors on Livestock (9 papers). Fritha M. Langford is often cited by papers focused on Animal Behavior and Welfare Studies (24 papers), Human-Animal Interaction Studies (13 papers) and Effects of Environmental Stressors on Livestock (9 papers). Fritha M. Langford collaborates with scholars based in United Kingdom, New Zealand and Canada. Fritha M. Langford's co-authors include Marie J. Haskell, Kenny Rutherford, A.B. Lawrence, L. Sherwood, L. J. FISHER, Daniel M. Weary, David J. Roberts, M.C. Jack, Mhairi Jack and Alistair W. Stott and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Fritha M. Langford

32 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fritha M. Langford United Kingdom 15 474 301 256 224 141 35 741
Christine Leeb Austria 16 531 1.1× 406 1.3× 136 0.5× 166 0.7× 153 1.1× 56 769
G Olmos Sweden 14 345 0.7× 257 0.9× 220 0.9× 265 1.2× 119 0.8× 34 665
George Stilwell Portugal 19 709 1.5× 492 1.6× 310 1.2× 235 1.0× 60 0.4× 70 1.1k
Tine Rousing Denmark 20 876 1.8× 624 2.1× 380 1.5× 257 1.1× 137 1.0× 55 1.0k
Nina M. Keil Switzerland 16 623 1.3× 451 1.5× 310 1.2× 226 1.0× 92 0.7× 43 780
Eva Voslářová Czechia 23 559 1.2× 734 2.4× 233 0.9× 105 0.5× 157 1.1× 129 1.6k
Kerstin Barth Germany 16 640 1.4× 404 1.3× 328 1.3× 353 1.6× 118 0.8× 64 934
Solveig March Germany 13 545 1.1× 343 1.1× 232 0.9× 249 1.1× 109 0.8× 39 657
Anna Wallenbeck Sweden 17 556 1.2× 495 1.6× 189 0.7× 228 1.0× 200 1.4× 60 1.1k
Janice Swanson United States 19 807 1.7× 723 2.4× 260 1.0× 156 0.7× 202 1.4× 48 1.3k

Countries citing papers authored by Fritha M. Langford

Since Specialization
Citations

This map shows the geographic impact of Fritha M. Langford's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fritha M. Langford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fritha M. Langford more than expected).

Fields of papers citing papers by Fritha M. Langford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fritha M. Langford. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fritha M. Langford. The network helps show where Fritha M. Langford may publish in the future.

Co-authorship network of co-authors of Fritha M. Langford

This figure shows the co-authorship network connecting the top 25 collaborators of Fritha M. Langford. A scholar is included among the top collaborators of Fritha M. Langford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fritha M. Langford. Fritha M. Langford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Mitchell, M.A., et al.. (2024). Sheep fatigue during transport: Lost in translation?. Animal Welfare. 33. e13–e13.
3.
Dwyer, Catherine M, et al.. (2024). Animal welfare with Chinese characteristics: Chinese poultry producers’ perceptions of, and attitudes towards, animal welfare. PLoS ONE. 19(7). e0307061–e0307061. 4 indexed citations
4.
Langford, Fritha M., et al.. (2023). What Patterns in Online Classified Puppy Advertisements Can Tell Us about the Current UK Puppy Trade. Animals. 13(10). 1682–1682. 5 indexed citations
5.
MacKay, Jill R D, et al.. (2023). Perceptions of barriers to providing good cat care in Malaysian clinical practices. Animal Welfare. 32. e70–e70. 1 indexed citations
6.
Baten, Abdul, Marie J. Haskell, Fritha M. Langford, et al.. (2021). Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures. Scientific Reports. 11(1). 10938–10938. 13 indexed citations
7.
Martin, Jessica, et al.. (2020). The identification of effective welfare indicators for laboratory-housed macaques using a Delphi consultation process. Scientific Reports. 10(1). 20402–20402. 11 indexed citations
8.
Rayner, Emma, et al.. (2019). Assessment of an Educational Intervention on the Knowledge and Attitudes of Indian National Veterinarians to Animal Welfare and Euthanasia. Journal of Veterinary Medical Education. 47(2). 202–217. 3 indexed citations
9.
Langford, Fritha M., et al.. (2019). The environmental needs of many Australian pet cats are not being met. Journal of Feline Medicine and Surgery. 22(10). 898–906. 21 indexed citations
10.
Langford, Fritha M., et al.. (2016). Does the Seal Licensing System in Scotland Have a Negative Impact on Seal Welfare?. Frontiers in Marine Science. 3. 4 indexed citations
11.
Barnes, Andrew, Kenny Rutherford, Fritha M. Langford, & Marie J. Haskell. (2011). The effect of lameness prevalence on technical efficiency at the dairy farm level: An adjusted data envelopment analysis approach. Journal of Dairy Science. 94(11). 5449–5457. 47 indexed citations
12.
Langford, Fritha M. & M.S. Cockram. (2010). Is sleep in animals affected by prior waking experiences?. Animal Welfare. 19(3). 215–222. 16 indexed citations
13.
Tolkamp, B.J., Marie J. Haskell, Fritha M. Langford, David J. Roberts, & C. A. Morgan. (2010). Are cows more likely to lie down the longer they stand?. Applied Animal Behaviour Science. 124(1-2). 1–10. 54 indexed citations
14.
Haskell, Marie J., et al.. (2010). The effect of the provision of ‘furniture’ on the use of a loafing area by continuously housed dairy cattle. Advances in Animal Biosciences. 1(1). 97–97. 4 indexed citations
15.
Haskell, Marie J., Fritha M. Langford, M.C. Jack, et al.. (2009). The effect of organic status and management practices on somatic cell counts on UK dairy farms. Journal of Dairy Science. 92(8). 3775–3780. 29 indexed citations
16.
Langford, Fritha M., Kenny Rutherford, Mhairi Jack, et al.. (2008). A comparison of management practices, farmer-perceived disease incidence and winter housing on organic and non-organic dairy farms in the UK. Journal of Dairy Research. 76(1). 6–14. 24 indexed citations
17.
Rutherford, Kenny, Fritha M. Langford, Mhairi Jack, et al.. (2008). Lameness prevalence and risk factors in organic and non-organic dairy herds in the United Kingdom. The Veterinary Journal. 180(1). 95–105. 109 indexed citations
18.
Langford, Fritha M., Kenny Rutherford, L. Sherwood, M.C. Jack, & Marie J. Haskell. (2006). Behaviour of dairy cows on organic and non-organic farms. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 1 indexed citations
19.
Langford, Fritha M., Daniel M. Weary, & L. J. FISHER. (2003). Antibiotic Resistance in Gut Bacteria from Dairy Calves: A Dose Response to the Level of Antibiotics Fed in Milk. Journal of Dairy Science. 86(12). 3963–3966. 88 indexed citations
20.
Watson, Gordon, Fritha M. Langford, Sylvie M. Gaudron, & Matthew G. Bentley. (2000). Factors influencing spawning and pairing in the scale worm Harmothoe imbricata (Annelida: Polychaeta). Biological Bulletin. 199(1). 50–58. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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