Kia Dashtipour
Impact in
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
-
- Speech and Audio Processing 22
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Amir Hussain (44 shared papers)Mandar Gogate (42 shared papers)Erik Cambria (4 shared papers)Ahsan Adeel (8 shared papers)Kamran Arshad (6 shared papers)Naeem Ramzan (6 shared papers)Ahmad Hawalah (3 shared papers)Ahsen Tahir (5 shared papers)
- Journals
- Electronics (3 papers)Applied Soft Computing (2 papers)Sensors (2 papers)IEEE Sensors Journal (2 papers)Neurocomputing (2 papers)
- Partner nations
- United KingdomSaudi ArabiaUnited Arab Emirates
In The Last Decade
Kia Dashtipour
61 papers receiving 1.4k citations
Kia Dashtipour's Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 662
- Computer Vision and Pattern Recognition 309
- Human-Computer Interaction 67
- Health 96
- Signal Processing 114
Countries citing papers authored by Kia Dashtipour
This map shows the geographic impact of Kia Dashtipour'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 Kia Dashtipour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kia Dashtipour more than expected).
Fields of papers citing papers by Kia Dashtipour
This network shows the impact of papers produced by Kia Dashtipour. 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 Kia Dashtipour. The network helps show where Kia Dashtipour may publish in the future.
Co-authors
The 25 scholars most cited alongside Kia Dashtipour, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study Hit paper breakdown → | 2021 | 190 |
| 2 | 2016 | 181 | |
| 3 | 2021 | 87 | |
| 4 | 2021 | 68 | |
| 5 | 2021 | 66 | |
| 6 | 2020 | 57 | |
| 7 | 2021 | 52 | |
| 8 | 2021 | 51 | |
| 9 | 2021 | 49 | |
| 10 | 2020 | 43 | |
| 11 | 2021 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2021 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2023 | 25 | |
| 16 | 2021 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2022 | 21 |
About Kia Dashtipour
Kia Dashtipour is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Biomedical Engineering, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Sentiment Analysis and Opinion Mining (10 papers), Hearing Loss and Rehabilitation (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Topic Modeling (7 papers), Advanced Text Analysis Techniques (6 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Artificial Intelligence (662 citations), Computer Vision and Pattern Recognition (309 citations), Human-Computer Interaction (67 citations), Health (96 citations) and Signal Processing (114 citations). Kia Dashtipour has collaborated with scholars based in United Kingdom, Saudi Arabia and United Arab Emirates. Frequent co-authors include Amir Hussain, Mandar Gogate, Erik Cambria, Ahsan Adeel, Kamran Arshad, Naeem Ramzan, Ahmad Hawalah, Ahsen Tahir, Alexander Gelbukh and Khaled Assaleh. Their work appears in journals such as Electronics, Applied Soft Computing, Sensors, IEEE Sensors Journal and Neurocomputing.
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.