Hesam Sagha
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Ricardo ChavarriagaJosé del R. MillánDaniel RoggenAlberto CalatroniGerhard TrösterSundara Tejaswi DigumartiRobert LeebHamidreza Bayati
- Topics
- Context-Aware Activity Recognition Systems (13 papers)Anomaly Detection Techniques and Applications (7 papers)EEG and Brain-Computer Interfaces (6 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringPattern Recognition LettersJournal of Neural Engineering
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Hesam Sagha
37 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 581
- Biomedical Engineering 411
- Computer Networks and Communications 361
- Cognitive Neuroscience 261
Countries citing papers authored by Hesam Sagha
This map shows the geographic impact of Hesam Sagha'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 Hesam Sagha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hesam Sagha more than expected).
Fields of papers citing papers by Hesam Sagha
This network shows the impact of papers produced by Hesam Sagha. 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 Hesam Sagha. The network helps show where Hesam Sagha may publish in the future.
Co-authorship network of co-authors of Hesam Sagha
This figure shows the co-authorship network connecting the top 25 collaborators of Hesam Sagha. A scholar is included among the top collaborators of Hesam Sagha 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 Hesam Sagha. Hesam Sagha 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 | 3 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | 30 | |
| 6 | 4 | |
| 7 | The Opportunity challenge: A benchmark database for on-body sensor-based activity recognitionbreakdown → | 510 |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 179 | |
| 11 | 75 | |
| 12 | EEG Microstates for BCI Therapist Feedback: Preliminary Results on a Stroke Patient | 1 |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 15 | |
| 16 | 14 | |
| 17 | Robust activity recognition for assistive technologies: Benchmarking machine learning techniques | 3 |
| 18 | 56 | |
| 19 | 11 | |
| 20 | 4 |
About Hesam Sagha
Hesam Sagha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (13 papers), Anomaly Detection Techniques and Applications (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (151 citations) and Signal Processing (217 citations). Hesam Sagha has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Ricardo Chavarriaga, José del R. Millán, Daniel Roggen, Alberto Calatroni, Gerhard Tröster, Sundara Tejaswi Digumarti, Robert Leeb, Hamidreza Bayati, Marc Kurz and Alois Ferscha. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition Letters and Journal of Neural Engineering.
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.