Ian Cleland

80 papers receiving 1.3k citations

Peers

Ian Cleland
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 573
  • Physical Therapy, Sports Therapy and Rehabilitation 53
  • Computer Networks and Communications 247
  • Occupational Therapy 36
  • Transportation 57
Replace Ivan Miguel Pires with:
Ivan Miguel Pires Portugal
Miguel Damas Spain
Nuno M. García Portugal
Vincent Rialle France
Vangelis Metsis United States
M. Alwan United States
Thomas Kirste Germany
Éric Campo France
Jean-Yves Fourniols France
Ramón Hervás Spain
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Citations per field
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Citations per year

Countries citing papers authored by Ian Cleland

Since Specialization
Citations

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

Fields of papers citing papers by Ian Cleland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Cleland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Cleland Line = papers co-authored together Ian Cleland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013294
2 2020102
3 202068
4 201856
5 201845
6 201644
7 201344
8 201641
9 201441
10 202137
11 201931
12 202431
13 202025
14 201623
15 201923
16 201618
17 201818
18 201916
19 201816
20 201915

About Ian Cleland

Ian Cleland is a scholar working on Computer Vision and Pattern Recognition, Demography, Artificial Intelligence, General Health Professions and Computer Networks and Communications, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (39 papers), Technology Use by Older Adults (18 papers), Anomaly Detection Techniques and Applications (15 papers), Mobile Health and mHealth Applications (14 papers), IoT and Edge/Fog Computing (9 papers), Human Pose and Action Recognition (7 papers), Time Series Analysis and Forecasting (7 papers) and Dementia and Cognitive Impairment Research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (573 citations), Physical Therapy, Sports Therapy and Rehabilitation (53 citations), Computer Networks and Communications (247 citations), Occupational Therapy (36 citations) and Transportation (57 citations). Ian Cleland has collaborated with scholars based in United Kingdom, Spain and Sweden. Frequent co-authors include Chris Nugent, Sally McClean, Josef Hallberg, Kåre Synnes, Dewar Finlay, Basel Kikhia, Andrey Boytsov, Paul McCullagh, Federico Cruciani and Shuai Zhang. Their work appears in journals such as Sensors, Alzheimer s & Dementia, IEEE Access, IEEE Journal of Biomedical and Health Informatics and Journal of Biomedical Informatics.

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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