Nathan Vance
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
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- Mobile Crowdsensing and Crowdsourcing 14
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- Non-Invasive Vital Sign Monitoring 11
- Co-authors
- Dong Wang (16 shared papers)Daniel Zhang (14 shared papers)Yang Zhang (5 shared papers)Patrick J. Flynn (11 shared papers)Adam Czajka (9 shared papers)Md Tahmid Rashid (3 shared papers)Kevin W. Bowyer (5 shared papers)Yang Zhang (3 shared papers)
- Journals
- Journal of Clinical Medicine (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)IEEE Transactions on Big Data (1 paper)Knowledge-Based Systems (1 paper)Current Developments in Nutrition (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Nathan Vance
27 papers receiving 379 citations
Peers
Comparison fields: 5 of 49
- Computer Science Applications 142
- Transportation 43
- Computer Networks and Communications 115
- Artificial Intelligence 100
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Nathan Vance
This map shows the geographic impact of Nathan Vance'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 Nathan Vance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Vance more than expected).
Fields of papers citing papers by Nathan Vance
This network shows the impact of papers produced by Nathan Vance. 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 Nathan Vance. The network helps show where Nathan Vance may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Vance, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2023 | 35 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 18 | |
| 12 | 2023 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2018 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 4 |
About Nathan Vance
Nathan Vance is a scholar working on Computer Science Applications, Biomedical Engineering, Computer Networks and Communications, Surgery and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 386 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (14 papers), Non-Invasive Vital Sign Monitoring (11 papers), IoT and Edge/Fog Computing (8 papers), ECG Monitoring and Analysis (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Computer Science Applications (142 citations), Transportation (43 citations), Computer Networks and Communications (115 citations), Artificial Intelligence (100 citations) and Computer Vision and Pattern Recognition (59 citations). Nathan Vance has collaborated with scholars based in United States and Sweden. Frequent co-authors include Dong Wang, Daniel Zhang, Yang Zhang, Patrick J. Flynn, Adam Czajka, Md Tahmid Rashid, Kevin W. Bowyer, Yang Zhang, Xukun Li and Lu Niu. Their work appears in journals such as Journal of Clinical Medicine, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Big Data, Knowledge-Based Systems and Current Developments in Nutrition.
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.