Ivan Miguel Pires
Impact in
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- Balance, Gait, and Falls Prevention
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- Context-Aware Activity Recognition Systems
Papers in
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- Context-Aware Activity Recognition Systems 40
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- Non-Invasive Vital Sign Monitoring 28
- Muscle activation and electromyography studies 9
- Co-authors
- Nuno M. García (85 shared papers)Eftim Zdravevski (65 shared papers)Francisco Flórez‐Revuelta (25 shared papers)Nuno Pombo (22 shared papers)Petre Lameski (30 shared papers)Gonçalo Marques (15 shared papers)Faisal Hussain (8 shared papers)Vasco Ponciano (19 shared papers)
- Journals
- Sensors (19 papers)Electronics (12 papers)PeerJ Computer Science (6 papers)Data in Brief (3 papers)Computers in Biology and Medicine (3 papers)
- Partner nations
- PortugalNorth MacedoniaSpain
In The Last Decade
Ivan Miguel Pires
140 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 160
- Physical Therapy, Sports Therapy and Rehabilitation 122
- Computer Vision and Pattern Recognition 488
- Health Informatics 28
- Computer Networks and Communications 390
- Health Information Management 79
Countries citing papers authored by Ivan Miguel Pires
This map shows the geographic impact of Ivan Miguel Pires'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 Ivan Miguel Pires with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Miguel Pires more than expected).
Fields of papers citing papers by Ivan Miguel Pires
This network shows the impact of papers produced by Ivan Miguel Pires. 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 Ivan Miguel Pires. The network helps show where Ivan Miguel Pires may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Miguel Pires, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2016 | 112 | |
| 3 | 2020 | 81 | |
| 4 | 2020 | 74 | |
| 5 | 2021 | 70 | |
| 6 | 2021 | 51 | |
| 7 | 2022 | 45 | |
| 8 | 2019 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2023 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2018 | 30 | |
| 14 | 2016 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2020 | 26 | |
| 17 | 2022 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2019 | 25 | |
| 20 | 2022 | 24 |
About Ivan Miguel Pires
Ivan Miguel Pires is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications, General Health Professions and Cardiology and Cardiovascular Medicine, having authored 156 papers that have together received 1.9k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (40 papers), Non-Invasive Vital Sign Monitoring (28 papers), IoT and Edge/Fog Computing (18 papers), Mobile Health and mHealth Applications (17 papers), Balance, Gait, and Falls Prevention (16 papers), ECG Monitoring and Analysis (12 papers), Muscle activation and electromyography studies (9 papers) and Human Mobility and Location-Based Analysis (9 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (122 citations), Computer Vision and Pattern Recognition (488 citations), Health Informatics (28 citations), Computer Networks and Communications (390 citations) and Health Information Management (79 citations). Ivan Miguel Pires has collaborated with scholars based in Portugal, North Macedonia and Spain. Frequent co-authors include Nuno M. García, Eftim Zdravevski, Francisco Flórez‐Revuelta, Nuno Pombo, Petre Lameski, Gonçalo Marques, Faisal Hussain, Vasco Ponciano, Susanna Spinsante and Abdul Hannan. Their work appears in journals such as Sensors, Electronics, PeerJ Computer Science, Data in Brief and Computers in Biology and Medicine.
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.