Ehsan Nazerfard
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Context-Aware Activity Recognition Systems 11
- Human Pose and Action Recognition 4
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- Diane J. Cook (6 shared papers)Parisa Rashidi (2 shared papers)Barnan Das (1 shared paper)Lawrence B. Holder (1 shared paper)Ali Risheh (1 shared paper)Houtan Jebelli (1 shared paper)Mehrdad Abedi (1 shared paper)Somayeh Asadi (1 shared paper)
- Journals
- Journal of Ambient Intelligence and Humanized Computing (3 papers)Expert Systems with Applications (2 papers)IET Generation Transmission & Distribution (1 paper)Neurocomputing (1 paper)Journal of Ambient Intelligence and Smart Environments (1 paper)
- Partner nations
- IranUnited StatesSweden
In The Last Decade
Ehsan Nazerfard
18 papers receiving 445 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 313
- Signal Processing 67
- Transportation 38
- Computer Networks and Communications 115
- Artificial Intelligence 153
Countries citing papers authored by Ehsan Nazerfard
This map shows the geographic impact of Ehsan Nazerfard'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 Ehsan Nazerfard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Nazerfard more than expected).
Fields of papers citing papers by Ehsan Nazerfard
This network shows the impact of papers produced by Ehsan Nazerfard. 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 Ehsan Nazerfard. The network helps show where Ehsan Nazerfard may publish in the future.
Co-authors
The 16 scholars most cited alongside Ehsan Nazerfard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2010 | 57 | |
| 3 | 2019 | 55 | |
| 4 | 2014 | 46 | |
| 5 | 2010 | 45 | |
| 6 | 2011 | 39 | |
| 7 | 2020 | 24 | |
| 8 | Using Bayesian networks for daily activity prediction | 2013 | 22 |
| 9 | 2022 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2018 | 10 | |
| 12 | 2012 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2023 | 0 |
About Ehsan Nazerfard
Ehsan Nazerfard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications, having authored 19 papers that have together received 464 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Human Pose and Action Recognition (4 papers), IoT-based Smart Home Systems (4 papers), Anomaly Detection Techniques and Applications (3 papers), Data Management and Algorithms (3 papers), Human Mobility and Location-Based Analysis (2 papers), IoT and Edge/Fog Computing (2 papers) and Technology Use by Older Adults (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Signal Processing (67 citations), Transportation (38 citations), Computer Networks and Communications (115 citations) and Artificial Intelligence (153 citations). Ehsan Nazerfard has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include Diane J. Cook, Parisa Rashidi, Barnan Das, Lawrence B. Holder, Ali Risheh, Houtan Jebelli, Mehrdad Abedi, Somayeh Asadi, Morteza Nazari‐Heris and Mohammad Hassan Moradi. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Expert Systems with Applications, IET Generation Transmission & Distribution, Neurocomputing and Journal of Ambient Intelligence and Smart Environments.
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.