Kia Dashtipour

2.7k citations
70 papers · 1.5k · 1 hit paper · h-index 22

Impact in

Papers in

Kia Dashtipour

62 papers receiving 1.4k citations

Kia Dashtipour's Hit Papers

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 2021 · 194 citations
1940+1+3Years since publication50100150

Peers

Kia Dashtipour
Comparison fields: 5 of 134
  • Artificial Intelligence 625
  • Computer Vision and Pattern Recognition 279
  • Health 85
  • Human-Computer Interaction 62
  • Signal Processing 116
Replace Mandar Gogate with:
Mandar Gogate United Kingdom
Francisco Javier Díaz Pernas Spain
Mostafa Dehghani Netherlands
Mohammed Ali Al-Garadi United States
François Portet France
Shucheng Huang China
Vangelis Metsis United States
Yunji Liang China
Mohammed Ali Al-Garadi Malaysia
Pieter Jonker Netherlands
Kia Dashtipour relative to Mandar Gogate United Kingdom Mandar Gogate's profile →
Citations per field
00.5×12×
Mandar Gogate · 1×
Citations per year

Countries citing papers authored by Kia Dashtipour

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kia Dashtipour Line = papers co-authored together Kia Dashtipour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 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 →
2021194
2 2016182
3 202187
4 202171
5 202170
6 202058
7 202154
8 202151
9 202045
10 202134
11 202033
12 202129
13 202027
14 202326
15 202326
16 202025
17 202125
18 202024
19 202223
20 202322

About Kia Dashtipour

Kia Dashtipour is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (24 papers), Sentiment Analysis and Opinion Mining (10 papers), Hearing Loss and Rehabilitation (9 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 (625 citations), Computer Vision and Pattern Recognition (279 citations), Health (85 citations), Human-Computer Interaction (62 citations) and Signal Processing (116 citations). Kia Dashtipour has collaborated with scholars based in United Kingdom, United Arab Emirates and China. Frequent co-authors include Amir Hussain, Mandar Gogate, Erik Cambria, Kamran Arshad, Ahsan Adeel, Naeem Ramzan, Alexander Gelbukh, Khaled Assaleh, Ahmad Hawalah and Ahsen Tahir. Their work appears in journals such as Electronics, The Journal of the Acoustical Society of America, Neurocomputing, Cognitive Computation and IEEE Sensors Journal.

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.

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