Behrooz Davazdahemami

490 total citations
22 papers, 328 citations indexed

About

Behrooz Davazdahemami is a scholar working on Artificial Intelligence, Sociology and Political Science and Health Information Management. According to data from OpenAlex, Behrooz Davazdahemami has authored 22 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Health Information Management. Recurrent topics in Behrooz Davazdahemami's work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Behrooz Davazdahemami is often cited by papers focused on Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). Behrooz Davazdahemami collaborates with scholars based in United States, Türkiye and France. Behrooz Davazdahemami's co-authors include Dursun Delen, Enes Eryarsoy, Hamed M. Zolbanin, Amir Hassan Zadeh, Bryan Hammer, Kazim Topuz, Amr Soror, Andy Luse, Pankush Kalgotra and Huimin Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Behrooz Davazdahemami

20 papers receiving 321 citations

Peers

Behrooz Davazdahemami

SPS

HIM

Emeka Chukwu Malta

Scott McLachlan United Kingdom

Becky McCall United Kingdom

Chioma Anthonia Okolo United States

Jing Mei China

Patrick Kierkegaard United Kingdom

Carlos Sáez Spain

Nasim Aslani Iran

Kathleen Liddell United Kingdom

Agata Ferretti Switzerland

Emeka Chukwu Malta

Behrooz Davazdahemami

85 ×0.9

44 ×0.9

SPS

34 ×0.7

HIM

44 ×1.1

14 ×0.4

Citations per year, relative to Behrooz Davazdahemami Behrooz Davazdahemami (= 1×) peers Emeka Chukwu

Countries citing papers authored by Behrooz Davazdahemami

Since Specialization

Citations

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

Fields of papers citing papers by Behrooz Davazdahemami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrooz Davazdahemami

This figure shows the co-authorship network connecting the top 25 collaborators of Behrooz Davazdahemami. A scholar is included among the top collaborators of Behrooz Davazdahemami 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 Behrooz Davazdahemami. Behrooz Davazdahemami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Topuz, Kazim, et al.. (2025). Developing an Interpretable Decision Support Framework for Artifact Design in Organ Transplantation. Information Systems Frontiers. 27(6). 2573–2597.

Davazdahemami, Behrooz, Hamed M. Zolbanin, & Amir Hassan Zadeh. (2025). Revitalizing the Scholarly Compass: Harnessing GPT-Powered Automation for Dynamic Aims & Scope Evolution in Academic Journals. Communications of the Association for Information Systems. 55. 1029–1068.

Davazdahemami, Behrooz, Pankush Kalgotra, Hamed M. Zolbanin, & Dursun Delen. (2023). A developer-oriented recommender model for the app store: A predictive network analytics approach. Journal of Business Research. 158. 113649–113649. 4 indexed citations

Delen, Dursun, et al.. (2023). Predicting and Mitigating Freshmen Student Attrition: A Local-Explainable Machine Learning Framework. Information Systems Frontiers. 26(2). 641–662. 11 indexed citations

Topuz, Kazim, Behrooz Davazdahemami, & Dursun Delen. (2023). A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases. Annals of Operations Research. 341(1). 673–697. 12 indexed citations

Delen, Dursun, et al.. (2022). A Machine Learning Framework for Assessing the Risk of Venous Thromboembolism in Patients Undergoing Hip or Knee Replacement. PubMed. 6(4). 423–441. 10 indexed citations

Davazdahemami, Behrooz, Hamed M. Zolbanin, & Dursun Delen. (2022). An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions. Decision Support Systems. 161. 113730–113730. 32 indexed citations

Davazdahemami, Behrooz, Hamed M. Zolbanin, & Dursun Delen. (2022). An explanatory analytics framework for early detection of chronic risk factors in pandemics. SHILAP Revista de lepidopterología. 2. 100020–100020. 13 indexed citations

Davazdahemami, Behrooz, et al.. (2022). A deep learning approach for predicting early bounce-backs to the emergency departments. SHILAP Revista de lepidopterología. 2. 100018–100018. 17 indexed citations

10.

Zolbanin, Hamed M., Amir Hassan Zadeh, & Behrooz Davazdahemami. (2021). Miscommunication in the age of communication: A crowdsourcing framework for symptom surveillance at the time of pandemics. International Journal of Medical Informatics. 151. 104486–104486. 9 indexed citations

11.

Delen, Dursun, Enes Eryarsoy, & Behrooz Davazdahemami. (2020). No Place Like Home: Cross-National Data Analysis of the Efficacy of Social Distancing During the COVID-19 Pandemic. JMIR Public Health and Surveillance. 6(2). e19862–e19862. 62 indexed citations

12.

Eryarsoy, Enes, Dursun Delen, Behrooz Davazdahemami, & Kazim Topuz. (2020). A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19. Journal of Business Research. 124. 163–178. 15 indexed citations

13.

Davazdahemami, Behrooz, Bryan Hammer, Pankush Kalgotra, & Andy Luse. (2020). From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks. Communications of the Association for Information Systems. 47(1). 652–677. 5 indexed citations

14.

Zolbanin, Hamed M., Behrooz Davazdahemami, Dursun Delen, & Amir Hassan Zadeh. (2020). Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases. Information & Management. 59(5). 103282–103282. 34 indexed citations

15.

Davazdahemami, Behrooz & Dursun Delen. (2019). Examining the effect of prescription sequence on developing adverse drug reactions: The case of renal failure in diabetic patients. International Journal of Medical Informatics. 125. 62–70. 6 indexed citations

16.

Davazdahemami, Behrooz & Dursun Delen. (2019). The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions. Expert Systems with Applications. 123. 168–177. 13 indexed citations

17.

Delen, Dursun, et al.. (2019). Using predictive analytics to identify drug-resistant epilepsy patients. Health Informatics Journal. 26(1). 449–460. 25 indexed citations

18.

Davazdahemami, Behrooz, Bryan Hammer, Andy Luse, & Pankush Kalgotra. (2018). The Role of Parallelism in Resolving the Privacy Paradox of Information Disclosure in Social Networks. Journal of the Association for Information Systems. 2 indexed citations

19.

Davazdahemami, Behrooz, Andy Luse, Kevin P. Scheibe, & Anthony M. Townsend. (2018). Training, Self-Efficacy, and Performance; a Replication Study. Journal of the Association for Information Systems. 4. 1–18. 8 indexed citations

20.

Davazdahemami, Behrooz & Dursun Delen. (2018). A chronological pharmacovigilance network analytics approach for predicting adverse drug events. Journal of the American Medical Informatics Association. 25(10). 1311–1321. 31 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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