Ehsan Nazerfard
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Diane J. CookLawrence B. HolderBarnan DasParisa RashidiAli RishehMorteza Nazari‐HerisHoutan JebelliMehrdad Abedi
- Topics
- Context-Aware Activity Recognition Systems (10 papers)IoT-based Smart Home Systems (4 papers)Human Pose and Action Recognition (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- IranUnited StatesSweden
In The Last Decade
Ehsan Nazerfard
17 papers receiving 358 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 257
- Artificial Intelligence 127
- Computer Networks and Communications 97
- Electrical and Electronic Engineering 86
- Signal Processing 50
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-authorship network of co-authors of Ehsan Nazerfard
This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Nazerfard. A scholar is included among the top collaborators of Ehsan Nazerfard 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 Ehsan Nazerfard. Ehsan Nazerfard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 93 | |
| 8 | 22 | |
| 9 | 45 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 43 | |
| 14 | Using Bayesian networks for daily activity prediction | 17 |
| 15 | 7 | |
| 16 | 53 | |
| 17 | 37 | |
| 18 | 1 |
About Ehsan Nazerfard
Ehsan Nazerfard is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 18 papers that have together received 373 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), IoT-based Smart Home Systems (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Signal Processing (50 citations) and Computer Networks and Communications (97 citations). Ehsan Nazerfard has collaborated with scholars based in Iran, United States and Sweden. Frequent co-authors include Diane J. Cook, Lawrence B. Holder, Barnan Das, Parisa Rashidi, Ali Risheh, Morteza Nazari‐Heris, Houtan Jebelli, Mehrdad Abedi, Somayeh Asadi and Mostafa Haghir Chehreghani. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and IET Generation Transmission & Distribution.
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.