Vahid Taslimitehrani
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- Artificial Intelligence in Healthcare 3
- Health Informatics top 10%
- Environmental Engineering top 10%
- Groundwater flow and contamination studies 1
- Soil Moisture and Remote Sensing 1
- Artificial Intelligence top 10%
- Machine Learning in Healthcare 3
- Neural Networks and Applications 2
- Civil and Structural Engineering top 10%
- Soil and Unsaturated Flow 2
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- Face and Expression Recognition 2
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- Genomics and Rare Diseases 1
- Co-authors
- Jyotishman PathakMaryam PanahiazarGuozhu DongNaveen L. PereiraBehzad GhanbarianYakov PachepskyAshutosh JadhavMohammad B. Shadmand
- Journals
- Journal of Hydrology (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)CATENA (1 paper)
- Partner nations
- United States
In The Last Decade
Vahid Taslimitehrani
11 papers receiving 337 citations
Peers
Comparison fields: 5 of 83
- Health Information Management 116
- Health Informatics 15
- Environmental Engineering 73
- Artificial Intelligence 142
- Civil and Structural Engineering 74
Countries citing papers authored by Vahid Taslimitehrani
This map shows the geographic impact of Vahid Taslimitehrani'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 Vahid Taslimitehrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Taslimitehrani more than expected).
Fields of papers citing papers by Vahid Taslimitehrani
This network shows the impact of papers produced by Vahid Taslimitehrani. 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 Vahid Taslimitehrani. The network helps show where Vahid Taslimitehrani may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Vahid Taslimitehrani, 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 | 2023 | 5 | |
| 2 | 2016 | 54 | |
| 3 | 2016 | 3 | |
| 4 | 2016 | 5 | |
| 5 | 2016 | 36 | |
| 6 | 2015 | 78 | |
| 7 | 2015 | 36 | |
| 8 | 2015 | 54 | |
| 9 | 2015 | 23 | |
| 10 | 2014 | 50 | |
| 11 | 2014 | 7 |
About Vahid Taslimitehrani
Vahid Taslimitehrani is a scholar working on Health Information Management, Artificial Intelligence and Environmental Engineering, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (2 papers), Soil and Unsaturated Flow (2 papers), Groundwater flow and contamination studies (1 paper), Genomics and Rare Diseases (1 paper) and Soil Moisture and Remote Sensing (1 paper). The work is most often cited by research in Health Information Management (116 citations), Health Informatics (15 citations) and Environmental Engineering (73 citations). Vahid Taslimitehrani has collaborated with scholars based in United States. Frequent co-authors include Jyotishman Pathak, Maryam Panahiazar, Guozhu Dong, Naveen L. Pereira, Behzad Ghanbarian, Yakov Pachepsky, Ashutosh Jadhav, Mohammad B. Shadmand and Larry W. Lake. Their work appears in journals such as Journal of Hydrology, IEEE Transactions on Knowledge and Data Engineering and CATENA.
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.