Reza Samavi

1.2k total citations · 1 hit paper
48 papers, 598 citations indexed

About

Reza Samavi is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Reza Samavi has authored 48 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Information Systems and 6 papers in Sociology and Political Science. Recurrent topics in Reza Samavi's work include Privacy-Preserving Technologies in Data (9 papers), Blockchain Technology Applications and Security (5 papers) and Machine Learning in Healthcare (5 papers). Reza Samavi is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Blockchain Technology Applications and Security (5 papers) and Machine Learning in Healthcare (5 papers). Reza Samavi collaborates with scholars based in Canada, United States and Spain. Reza Samavi's co-authors include Thomas E. Doyle, Mohammadreza Heydarian, Thodoros Topaloglou, Eric Yu, Yu Wang, Mariano P. Consens, Yuting Liang, Andrew Sutton, David Koff and Teresa M. Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Experimental Biology and Medicine.

In The Last Decade

Reza Samavi

46 papers receiving 563 citations

Hit Papers

MLCM: Multi-Label Confusion Matrix 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Samavi Canada 10 195 155 59 56 56 48 598
Ahed Abugabah United Arab Emirates 15 144 0.7× 175 1.1× 91 1.5× 110 2.0× 33 0.6× 56 667
Edward Rolando Núñez‐Valdéz Spain 13 157 0.8× 211 1.4× 73 1.2× 102 1.8× 44 0.8× 31 543
Mohamed Alloghani United Kingdom 10 259 1.3× 96 0.6× 73 1.2× 76 1.4× 29 0.5× 30 817
Muhammad Badruddin Khan Saudi Arabia 14 302 1.5× 117 0.8× 75 1.3× 97 1.7× 43 0.8× 44 783
Kashif Munir Pakistan 14 199 1.0× 159 1.0× 102 1.7× 105 1.9× 24 0.4× 43 672
Richard Millham South Africa 11 193 1.0× 124 0.8× 70 1.2× 114 2.0× 32 0.6× 87 658
Heyam H. Al-Baity Saudi Arabia 11 258 1.3× 125 0.8× 142 2.4× 31 0.6× 82 1.5× 30 709
Eduardo Mosqueira-Rey Spain 11 238 1.2× 116 0.7× 58 1.0× 35 0.6× 38 0.7× 31 669
Isabelle Bichindaritz United States 14 375 1.9× 85 0.5× 61 1.0× 47 0.8× 28 0.5× 46 780
Opim Salim Sitompul Indonesia 13 306 1.6× 284 1.8× 82 1.4× 34 0.6× 31 0.6× 119 702

Countries citing papers authored by Reza Samavi

Since Specialization
Citations

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

Fields of papers citing papers by Reza Samavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Samavi

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Samavi. A scholar is included among the top collaborators of Reza Samavi 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 Reza Samavi. Reza Samavi 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.
Soni, Apurv, Sirisha Rambhatla, Reza Samavi, et al.. (2025). Opinion: Mental health research: to augment or not to augment. Frontiers in Psychiatry. 16. 1539157–1539157. 3 indexed citations
2.
Samavi, Reza, Rakesh Jetly, Yanbo Zhang, et al.. (2025). Leveraging large language models for automated depression screening. PLOS Digital Health. 4(7). e0000943–e0000943.
3.
Pang, Hilary, et al.. (2024). Screening for Depression Using Natural Language Processing: Literature Review. SHILAP Revista de lepidopterología. 13. e55067–e55067. 6 indexed citations
4.
Samavi, Reza, et al.. (2023). Quantifying Deep Learning Model Uncertainty in Conformal Prediction. Proceedings of the AAAI Symposium Series. 1(1). 142–148. 3 indexed citations
5.
Chignell, Mark, et al.. (2023). The Privacy Attitudes Questionnaire (PAQ) Turned 20: What’s Next for a Generalized Measure of Privacy Attitudes?. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 705–709. 1 indexed citations
6.
Samavi, Reza, et al.. (2023). Data-driven approach to quantify trust in medical devices using Bayesian networks. Experimental Biology and Medicine. 248(24). 2578–2592.
7.
Heydarian, Mohammadreza, Thomas E. Doyle, & Reza Samavi. (2022). MLCM: Multi-Label Confusion Matrix. IEEE Access. 10. 19083–19095. 225 indexed citations breakdown →
8.
Samavi, Reza, et al.. (2022). Heterogeneous Patient Graph Embedding in Readmission Prediction. 3 indexed citations
9.
Samavi, Reza, et al.. (2022). Evaluation methodology for deep learning imputation models. Experimental Biology and Medicine. 247(22). 1972–1987. 7 indexed citations
10.
Samavi, Reza, et al.. (2020). Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(2). 245–252. 2 indexed citations
11.
Liang, Yuting & Reza Samavi. (2020). Optimization-based k-anonymity algorithms. Computers & Security. 93. 101753–101753. 23 indexed citations
12.
Dhindsa, Kiret, Ranil Sonnadara, Reza Samavi, et al.. (2019). From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(7). 1492–1501. 20 indexed citations
13.
Samavi, Reza, et al.. (2018). Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges. PubMed. 2(1-2). 179–203. 11 indexed citations
14.
Samavi, Reza, et al.. (2017). The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research. 333–336. 3 indexed citations
15.
Samavi, Reza, et al.. (2017). A performance predictive model for emergency medicine residents. MacSphere (McMaster University). 28–37. 6 indexed citations
16.
Doyle, Thomas E., et al.. (2017). Augmented Reality Based Brain Tumor 3D Visualization. Procedia Computer Science. 113. 400–407. 22 indexed citations
17.
Samavi, Reza, et al.. (2015). M4CVD: Mobile Machine Learning Model for Monitoring Cardiovascular Disease. Procedia Computer Science. 63. 384–391. 40 indexed citations
18.
Samavi, Reza, et al.. (2015). COC: An Ontology for Capturing Semantics of Circle of Care. Procedia Computer Science. 63. 589–594. 8 indexed citations
19.
Samavi, Reza, Eric Yu, & Thodoros Topaloglou. (2008). Strategic reasoning about business models: a conceptual modeling approach. Information Systems and e-Business Management. 7(2). 171–198. 55 indexed citations
20.
Samavi, Reza, et al.. (2007). Exploring PSI-MI XML Collections Using DescribeX. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 4(3). 123–134. 3 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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