Joss Langford

1.0k total citations · 1 hit paper
22 papers, 683 citations indexed

About

Joss Langford is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Small Animals. According to data from OpenAlex, Joss Langford has authored 22 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Physiology and 5 papers in Small Animals. Recurrent topics in Joss Langford's work include Physical Activity and Health (5 papers), Animal Behavior and Welfare Studies (5 papers) and Cardiovascular and exercise physiology (5 papers). Joss Langford is often cited by papers focused on Physical Activity and Health (5 papers), Animal Behavior and Welfare Studies (5 papers) and Cardiovascular and exercise physiology (5 papers). Joss Langford collaborates with scholars based in United Kingdom, Denmark and Netherlands. Joss Langford's co-authors include Vincent T. van Hees, Zhou Fang, Michael I. Trenell, Nicholas J. Wareham, Tom White, Anwar Mohammad, Inácio Crochemore‐Silva, Søren Brage, Félix Assah and Alex V. Rowlands and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Joss Langford

19 papers receiving 677 citations

Hit Papers

Autocalibration of accelerometer data for free-living phy... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joss Langford United Kingdom 8 379 256 95 83 74 22 683
Lee Hill Canada 19 288 0.8× 109 0.4× 52 0.5× 49 0.6× 69 0.9× 71 1.2k
Hideaki Kumahara Japan 14 640 1.7× 326 1.3× 194 2.0× 112 1.3× 55 0.7× 44 974
Giles Warrington Ireland 24 286 0.8× 275 1.1× 134 1.4× 67 0.8× 187 2.5× 108 1.9k
Rhys Thatcher United Kingdom 15 235 0.6× 57 0.2× 132 1.4× 47 0.6× 98 1.3× 40 856
Eiji Watanabe Japan 14 693 1.8× 267 1.0× 208 2.2× 127 1.5× 40 0.5× 51 1.2k
Laurie Isacco France 19 457 1.2× 441 1.7× 181 1.9× 93 1.1× 114 1.5× 75 994
Marian Banks United States 9 728 1.9× 294 1.1× 44 0.5× 138 1.7× 20 0.3× 9 1.7k
Yoshitake Oshima Japan 14 612 1.6× 363 1.4× 128 1.3× 153 1.8× 92 1.2× 29 1.0k
Matthew Stork Canada 14 241 0.6× 58 0.2× 210 2.2× 29 0.3× 80 1.1× 24 630
Joanne Wallace United Kingdom 11 365 1.0× 373 1.5× 46 0.5× 72 0.9× 32 0.4× 25 922

Countries citing papers authored by Joss Langford

Since Specialization
Citations

This map shows the geographic impact of Joss 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 Joss Langford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joss Langford more than expected).

Fields of papers citing papers by Joss Langford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joss 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 Joss Langford. The network helps show where Joss Langford may publish in the future.

Co-authorship network of co-authors of Joss Langford

This figure shows the co-authorship network connecting the top 25 collaborators of Joss Langford. A scholar is included among the top collaborators of Joss 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 Joss Langford. Joss 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
1.
2.
Langford, Joss, Reinoud E. Knops, Hanno L. Tan, et al.. (2024). Long-term adherence to a wearable for continuous behavioural activity measuring in the SafeHeart implantable cardioverter defibrillator population. European Heart Journal - Digital Health. 5(5). 622–632. 2 indexed citations
4.
Langford, Joss, Peter Karl Jacobsen, Niels Risum, et al.. (2024). Artificial intelligence-enhanced wearable technology enables ventricular arrhythmia prediction. European Heart Journal - Digital Health. 3 indexed citations
5.
Langford, Joss, Tariq Osman Andersen, Peter Karl Jacobsen, et al.. (2024). Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias. npj Digital Medicine. 7(1). 250–250. 1 indexed citations
7.
Langford, Joss, Tariq Osman Andersen, Peter Jacobsen, et al.. (2023). Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicentre, prospective observational SafeHeart study. European Heart Journal - Quality of Care and Clinical Outcomes. 10(6). 531–542. 6 indexed citations
8.
Croft, Darren P., et al.. (2023). Potential role of biologgers to automate detection of lame ewes and lambs. Applied Animal Behaviour Science. 259. 105847–105847. 3 indexed citations
9.
Croft, Darren P., et al.. (2022). Social behaviour and transmission of lameness in a flock of ewes and lambs. Frontiers in Veterinary Science. 9. 1027020–1027020. 1 indexed citations
10.
Langford, Joss, et al.. (2022). Classifying the posture and activity of ewes and lambs using accelerometers and machine learning on a commercial flock. Applied Animal Behaviour Science. 251. 105630–105630. 20 indexed citations
11.
Andersen, Tariq Osman, et al.. (2021). Accelerometer-assessed physical behavior and the association with clinical outcomes in implantable cardioverter-defibrillator recipients: A systematic review. SHILAP Revista de lepidopterología. 3(1). 46–55. 5 indexed citations
12.
Langford, Joss, et al.. (2021). The University Partnership Playbook. Liverpool University Press eBooks.
13.
Langford, Joss, Tariq Osman Andersen, Reinoud E. Knops, et al.. (2021). Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy. SHILAP Revista de lepidopterología. 2(6). S11–S20. 9 indexed citations
14.
Fang, Zhou, et al.. (2020). Package for Reading Binary Files [R package GENEAread version 2.0.9]. 1 indexed citations
15.
Ozella, Laura, et al.. (2020). The effect of age, environment and management on social contact patterns in sheep. Applied Animal Behaviour Science. 225. 104964–104964. 27 indexed citations
16.
Gifford, Robert J., Julie P. Greeves, Sophie L. Wardle, et al.. (2020). Measuring the Exercise Component of Energy Availability during Arduous Training in Women. Medicine & Science in Sports & Exercise. 53(4). 860–868. 21 indexed citations
17.
Stiles, Victoria, et al.. (2018). Wrist-worn Accelerometry for Runners: Objective Quantification of Training Load. Medicine & Science in Sports & Exercise. 50(11). 2277–2284. 11 indexed citations
18.
Beduschi, Ana, et al.. (2017). Building Digital Identities: The Challenges, Risks and Opportunities of Collecting Behavioural Attributes for new Digital Identity Systems.. Open Research Exeter (University of Exeter). 3 indexed citations
19.
Hees, Vincent T. van, Zhou Fang, Joss Langford, et al.. (2014). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents. Journal of Applied Physiology. 117(7). 738–744. 449 indexed citations breakdown →
20.
Rowlands, Alex V., Tim Olds, Melvyn Hillsdon, et al.. (2013). Assessing Sedentary Behavior with the GENEActiv. Medicine & Science in Sports & Exercise. 46(6). 1235–1247. 95 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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