Celal Savur
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
-
- Digital Transformation in Industry
Papers in
-
- EEG and Brain-Computer Interfaces 4
-
- Human-Automation Interaction and Safety 3
- Co-authors
- Ferat Sahin (7 shared papers)Anthony M. Ambrose (1 shared paper)Gill R. Tsouri (4 shared papers)Ruslan Dautov (2 shared papers)Neşe Alyüz (1 shared paper)Sinem Aslan (1 shared paper)Eda Okur (1 shared paper)Lama Nachman (1 shared paper)
- Journals
- IEEE Transactions on Systems Man and Cybernetics Systems (1 paper)Heart Rhythm (1 paper)Computers and Education Artificial Intelligence (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Machines (1 paper)
- Partner nations
- United States
In The Last Decade
Celal Savur
14 papers receiving 332 citations
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 123
- Industrial and Manufacturing Engineering 60
- Control and Systems Engineering 92
- Developmental and Educational Psychology 46
- Radiological and Ultrasound Technology 16
Countries citing papers authored by Celal Savur
This map shows the geographic impact of Celal Savur'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 Celal Savur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celal Savur more than expected).
Fields of papers citing papers by Celal Savur
This network shows the impact of papers produced by Celal Savur. 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 Celal Savur. The network helps show where Celal Savur may publish in the future.
Co-authors
The 11 scholars most cited alongside Celal Savur, 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 | 158 | |
| 2 | 2015 | 61 | |
| 3 | 2016 | 53 | |
| 4 | 2018 | 16 | |
| 5 | 2023 | 11 | |
| 6 | 2020 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2018 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 1 |
About Celal Savur
Celal Savur is a scholar working on Cognitive Neuroscience, Social Psychology, Cardiology and Cardiovascular Medicine, Human-Computer Interaction and Biomedical Engineering, having authored 15 papers that have together received 347 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Hand Gesture Recognition Systems (3 papers), Human-Automation Interaction and Safety (3 papers), Gaze Tracking and Assistive Technology (3 papers), ECG Monitoring and Analysis (3 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Human-Computer Interaction (123 citations), Industrial and Manufacturing Engineering (60 citations), Control and Systems Engineering (92 citations), Developmental and Educational Psychology (46 citations) and Radiological and Ultrasound Technology (16 citations). Celal Savur has collaborated with scholars based in United States. Frequent co-authors include Ferat Sahin, Anthony M. Ambrose, Gill R. Tsouri, Ruslan Dautov, Neşe Alyüz, Sinem Aslan, Eda Okur, Lama Nachman, Xiaojuan Xia and Burr Hall. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Heart Rhythm, Computers and Education Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics and Machines.
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.