Amir Karami

1.9k total citations
54 papers, 1.1k citations indexed

About

Amir Karami is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Amir Karami has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Sociology and Political Science and 9 papers in Communication. Recurrent topics in Amir Karami's work include Misinformation and Its Impacts (8 papers), Social Media and Politics (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Amir Karami is often cited by papers focused on Misinformation and Its Impacts (8 papers), Social Media and Politics (7 papers) and Sentiment Analysis and Opinion Mining (7 papers). Amir Karami collaborates with scholars based in United States, Iran and United Kingdom. Amir Karami's co-authors include Yogesh K. Dwivedi, Mohammad Hossein Jarrahi, Hadi Kharrazi, George Shaw, Xiaopeng Lu, Fei Yu, Ahjung Byun, Gabrielle Turner‐McGrievy, Grace Shin and Lina Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Amir Karami

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amir Karami United States 18 356 311 149 129 124 54 1.1k
Zhijun Yan China 21 652 1.8× 250 0.8× 172 1.2× 152 1.2× 363 2.9× 80 1.9k
Omar El-Gayar United States 21 390 1.1× 222 0.7× 353 2.4× 403 3.1× 83 0.7× 123 1.9k
Gondy Leroy United States 25 296 0.8× 839 2.7× 257 1.7× 352 2.7× 175 1.4× 122 1.8k
Peter West United States 21 827 2.3× 91 0.3× 52 0.3× 203 1.6× 112 0.9× 33 2.0k
Florian Keusch Germany 20 554 1.6× 70 0.2× 60 0.4× 128 1.0× 111 0.9× 53 1.1k
Feicheng Ma China 17 332 0.9× 178 0.6× 150 1.0× 77 0.6× 148 1.2× 81 1.0k
Juan Carlos Valderrama‐Zurián Spain 19 138 0.4× 31 0.1× 167 1.1× 153 1.2× 105 0.8× 144 1.4k
Zhu Zhang China 15 318 0.9× 121 0.4× 56 0.4× 23 0.2× 56 0.5× 42 763

Countries citing papers authored by Amir Karami

Since Specialization
Citations

This map shows the geographic impact of Amir Karami'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 Amir Karami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Karami more than expected).

Fields of papers citing papers by Amir Karami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir Karami. 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 Amir Karami. The network helps show where Amir Karami may publish in the future.

Co-authorship network of co-authors of Amir Karami

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Karami. A scholar is included among the top collaborators of Amir Karami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amir Karami. Amir Karami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Jarrahi, Mohammad Hossein, et al.. (2025). Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions. Technology in Society. 84. 103127–103127.
3.
Karami, Amir, et al.. (2024). Health Use Cases of AI Chatbots: Identification and Analysis of ChatGPT Prompts in Social Media Discourses. Big Data and Cognitive Computing. 8(10). 130–130. 1 indexed citations
4.
Ghosh, Souvick, et al.. (2023). Online Incivility and Contextual Factors: Data‐Driven Detection and Analysis. Proceedings of the Association for Information Science and Technology. 60(1). 770–774. 1 indexed citations
5.
Porter, Dwayne E., et al.. (2021). The leading neighborhood-level predictors of drug overdose: A mixed machine learning and spatial approach. Drug and Alcohol Dependence. 229(Pt B). 109143–109143. 20 indexed citations
6.
Karami, Amir, et al.. (2021). Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.. Healthcare. 9(5). 518–518. 10 indexed citations
7.
Karami, Amir, et al.. (2021). Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter. International Journal of Environmental Research and Public Health. 18(4). 2159–2159. 16 indexed citations
8.
Karami, Amir, et al.. (2021). Automatic Categorization of LGBT User Profiles on Twitter with Machine Learning. Electronics. 10(15). 1822–1822. 4 indexed citations
9.
Karami, Amir, et al.. (2021). A Systematic Literature Review of Sexual Harassment Studies with Text Mining. Sustainability. 13(12). 6589–6589. 31 indexed citations
10.
Karami, Amir, et al.. (2020). Analyzing health tweets of LGB and transgender individuals. Proceedings of the Association for Information Science and Technology. 57(1). 6 indexed citations
11.
Shin, Grace, Mohammad Hossein Jarrahi, Fei Yu, et al.. (2019). Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics. 93. 103153–103153. 193 indexed citations
12.
Karami, Amir, et al.. (2019). Exploring diseases and syndromes in neurology case reports from 1955 to 2017 with text mining. Computers in Biology and Medicine. 109. 322–332. 18 indexed citations
13.
Karami, Amir, Alicia A. Dahl, Gabrielle Turner‐McGrievy, Hadi Kharrazi, & George Shaw. (2018). Characterizing Diabetes, Diet, Exercise, and Obesity on Twitter. Scholar Commons (University of South Carolina). 96 indexed citations
14.
Kitzie, Vanessa, Ehsan Mohammadi, & Amir Karami. (2018). “Life never matters in the DEMOCRATS MIND”: Examining strategies of retweeted social bots during a mass shooting event. Proceedings of the Association for Information Science and Technology. 55(1). 254–263. 14 indexed citations
15.
Karami, Amir, et al.. (2017). Computational Content Analysis of Negative Tweets for Obesity, Diet, Diabetes, and Exercise. Scholar Commons (University of South Carolina). 17 indexed citations
16.
Dargahi, Abdollah, et al.. (2017). Evaluation of Functional Preparedness and Non Structural Safety of Different Health Units of Kermanshah University of Medical Sciences in Coping With Natural Disasters. Health in Emergencies & Disasters Quarterly. 2(4). 201–206. 12 indexed citations
17.
Shokoohi, Reza, Abdollah Dargahi, & Amir Karami. (2016). Application of Response Surface Method (RSM) for Comparison the Efficiency of waste water Stabilization Ponds and conventional activated sludge Systems in Organic Matter Removal from Urban Wastewaters. Der pharma chemica. 8(16). 177–184. 1 indexed citations
18.
Karami, Amir & Lina Zhou. (2014). Improving Static SMS Spam Detection by Using New Content-based Features. Journal of the Association for Information Systems. 26 indexed citations
19.
Karami, Amir & Aryya Gangopadhyay. (2014). FFTM: A Fuzzy Feature Transformation Method for Medical Documents. Maryland Shared Open Access Repository (USMAI Consortium). 128–133. 8 indexed citations
20.
Karami, Amir, et al.. (2009). Identifying CSFs in Risk Management of Information Systems Outsourcing Projects in IranianCommercial Banks. SHILAP Revista de lepidopterología. 2 indexed citations

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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