Ali Sarvghad
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 9
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- Data Analysis with R 3
- Co-authors
- Narges Mahyar (17 shared papers)Melanie Tory (6 shared papers)Mahmood Jasim (9 shared papers)Cindy Xiong (1 shared paper)Jake M. Hofman (1 shared paper)Amy X. Zhang (2 shared papers)Çağatay Demiralp (1 shared paper)Daniel G. Goldstein (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (5 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Computer Graphics Forum (1 paper)IEEE Computer Graphics and Applications (1 paper)Information Visualization (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Ali Sarvghad
24 papers receiving 237 citations
Peers
Comparison fields: 5 of 60
- Human-Computer Interaction 34
- Computer Vision and Pattern Recognition 125
- Information Systems and Management 29
- Computer Science Applications 19
- Artificial Intelligence 67
Countries citing papers authored by Ali Sarvghad
This map shows the geographic impact of Ali Sarvghad'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 Ali Sarvghad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Sarvghad more than expected).
Fields of papers citing papers by Ali Sarvghad
This network shows the impact of papers produced by Ali Sarvghad. 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 Ali Sarvghad. The network helps show where Ali Sarvghad may publish in the future.
Co-authors
The 23 scholars most cited alongside Ali Sarvghad, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 30 | |
| 2 | 2021 | 28 | |
| 3 | 2022 | 24 | |
| 4 | 2012 | 22 | |
| 5 | 2015 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2010 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2013 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2014 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Ali Sarvghad
Ali Sarvghad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Sociology and Political Science and Computer Science Applications, having authored 24 papers that have together received 242 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Complex Network Analysis Techniques (4 papers), Innovative Human-Technology Interaction (4 papers), Data Analysis with R (3 papers), Multimedia Communication and Technology (3 papers), Usability and User Interface Design (3 papers) and ICT in Developing Communities (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Computer Vision and Pattern Recognition (125 citations), Information Systems and Management (29 citations), Computer Science Applications (19 citations) and Artificial Intelligence (67 citations). Ali Sarvghad has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Narges Mahyar, Melanie Tory, Mahmood Jasim, Cindy Xiong, Jake M. Hofman, Amy X. Zhang, Çağatay Demiralp, Daniel G. Goldstein, Enamul Hoque and Eric P. S. Baumer. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, Computer Graphics Forum, IEEE Computer Graphics and Applications and Information Visualization.
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.