Alireza Jamshidi

860 total citations · 1 hit paper
8 papers, 539 citations indexed

About

Alireza Jamshidi is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Alireza Jamshidi has authored 8 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Health Informatics and 2 papers in Artificial Intelligence. Recurrent topics in Alireza Jamshidi's work include Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Alireza Jamshidi is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Alireza Jamshidi collaborates with scholars based in Iran, Czechia and Australia. Alireza Jamshidi's co-authors include Mohammad Jamshidi, Pedram Lalbakhsh, Saeed Roshani, Ali Lalbakhsh, Farimah Hadjilooei, Sobhan Roshani, Jakub Talla, Zdeněk Peroutka, Nima Bayat-Makou and Sara Kiani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Internet.

In The Last Decade

Alireza Jamshidi

7 papers receiving 521 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

2020 369 citations Mohammad Jamshidi, Ali Lalbakhsh et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alireza Jamshidi Iran	6	248	181	76	50	49	8	539
M.A. Chyad Malaysia	9	190 0.8×	330 1.8×	61 0.8×	47 0.9×	51 1.0×	12	823
Farimah Hadjilooei Iran	7	259 1.0×	170 0.9×	57 0.8×	38 0.8×	49 1.0×	15	496
Subrato Bharati Bangladesh	17	290 1.2×	411 2.3×	122 1.6×	35 0.7×	80 1.6×	43	887
Shiva Toumaj Iran	7	149 0.6×	193 1.1×	57 0.8×	36 0.7×	52 1.1×	11	511
Pedram Lalbakhsh Iran	4	247 1.0×	170 0.9×	57 0.8×	24 0.5×	49 1.0×	16	429
İlker Özşahin Cyprus	19	405 1.6×	228 1.3×	83 1.1×	133 2.7×	39 0.8×	88	990
Tianxiao Zhang United States	10	225 0.9×	174 1.0×	48 0.6×	22 0.4×	42 0.9×	17	688
A.M. Aleesa Malaysia	7	150 0.6×	178 1.0×	50 0.7×	19 0.4×	29 0.6×	11	450
Holly Wiberg United States	9	123 0.5×	169 0.9×	74 1.0×	27 0.5×	42 0.9×	11	474
Warda M. Shaban Egypt	11	187 0.8×	232 1.3×	12 0.2×	22 0.4×	67 1.4×	23	507

Countries citing papers authored by Alireza Jamshidi

Since Specialization

Citations

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

Fields of papers citing papers by Alireza Jamshidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Jamshidi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Jamshidi, Mohammad, et al.. (2023). Metaverse and Medical Diagnosis: A Blockchain-Based Digital Twinning Approach Based on MobileNetV2 Algorithm for Cervical Vertebral Maturation. Diagnostics. 13(8). 1485–1485. 37 indexed citations

2.

Jamshidi, Mohammad, et al.. (2023). The Meta-Metaverse: Ideation and Future Directions. Future Internet. 15(8). 252–252. 26 indexed citations

3.

Liška, Jan, Veronika Lišková, Alena Skálová, et al.. (2023). Predicting Chronic Hyperplastic Candidiasis Retro-Angular Mucosa Using Machine Learning. SHILAP Revista de lepidopterología. 13(6). 1335–1351.

4.

Jamshidi, Mohammad, et al.. (2023). Future of Drug Discovery: The Synergy of Edge Computing, Internet of Medical Things, and Deep Learning. Future Internet. 15(4). 142–142. 14 indexed citations

5.

Jamshidi, Mohammad, et al.. (2023). Metaverse and Healthcare: Machine Learning-Enabled Digital Twins of Cancer. Bioengineering. 10(4). 455–455. 69 indexed citations

6.

Jamshidi, Mohammad, Sobhan Roshani, Fatemeh Daneshfar, et al.. (2022). Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19. SHILAP Revista de lepidopterología. 3(2). 416–433. 20 indexed citations

7.

Jamshidi, Mohammad, Ali Lalbakhsh, Jakub Talla, et al.. (2020). Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment. IEEE Access. 8. 109581–109595. 369 indexed citations breakdown →

8.

Nasirian, Maryam, et al.. (2019). The effect of group discussion on self-care behaviors among hypertensive patients referring to health care centers in Arak City. SHILAP Revista de lepidopterología. 24(5). 56–68. 4 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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