Mohammadreza Iman

650 total citations · 1 hit paper
5 papers, 355 citations indexed

About

Mohammadreza Iman is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammadreza Iman has authored 5 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammadreza Iman's work include COVID-19 diagnosis using AI (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Energy Harvesting in Wireless Networks (1 paper). Mohammadreza Iman is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Energy Harvesting in Wireless Networks (1 paper). Mohammadreza Iman collaborates with scholars based in United States and Brazil. Mohammadreza Iman's co-authors include Khaled Rasheed, Hamid R. Arabnia, Igor Leão dos Santos, John A. Miller, Claudio M. de Farias, Robert Maribe Branch, Flávia C. Delicato, Paulo F. Pires and Luci Pìrmez and has published in prestigious journals such as SHILAP Revista de lepidopterología, arXiv (Cornell University) and 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

In The Last Decade

Mohammadreza Iman

5 papers receiving 340 citations

Hit Papers

A Review of Deep Transfer Learning and Recent Advancements 2023 2026 2024 2025 2023 100 200 300
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.

  1. A Review of Deep Transfer Learning and Recent Advancements
    2023 337 citations Mohammadreza Iman, Hamid R. Arabnia et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammadreza Iman United States 3 106 71 42 34 30 5 355
Pooja Asopa India 4 113 1.1× 101 1.4× 60 1.4× 40 1.2× 34 1.1× 5 458
Sakshi Indolia India 4 109 1.0× 119 1.7× 60 1.4× 34 1.0× 34 1.1× 7 465
Sourav Mishra India 7 150 1.4× 127 1.8× 70 1.7× 39 1.1× 37 1.2× 21 534
Luke Taylor United Kingdom 2 129 1.2× 144 2.0× 52 1.2× 20 0.6× 40 1.3× 2 460
Mohammad Abdul Azim Bangladesh 8 101 1.0× 58 0.8× 59 1.4× 55 1.6× 21 0.7× 28 393
Saleh Albelwi Saudi Arabia 8 152 1.4× 146 2.1× 45 1.1× 26 0.8× 17 0.6× 15 413
Aiman Al-Sabaawi Australia 5 166 1.6× 140 2.0× 57 1.4× 28 0.8× 66 2.2× 10 527
Georgii Valuev Russia 7 129 1.2× 94 1.3× 44 1.0× 50 1.5× 9 0.3× 14 412
Neena Aloysius India 4 105 1.0× 152 2.1× 42 1.0× 46 1.4× 24 0.8× 7 503
Afef Abdelkrim Tunisia 8 130 1.2× 141 2.0× 38 0.9× 28 0.8× 26 0.9× 49 441

Countries citing papers authored by Mohammadreza Iman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammadreza Iman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammadreza Iman

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

All Works

5 of 5 papers shown
1.
Iman, Mohammadreza, Hamid R. Arabnia, & Khaled Rasheed. (2023). A Review of Deep Transfer Learning and Recent Advancements. SHILAP Revista de lepidopterología. 11(2). 40–40. 337 indexed citations breakdown →
2.
Iman, Mohammadreza, John A. Miller, Khaled Rasheed, Robert Maribe Branch, & Hamid R. Arabnia. (2022). EXPANSE: A Continual and Progressive Learning System for Deep Transfer Learning. 58–65. 2 indexed citations
3.
Iman, Mohammadreza, Khaled Rasheed, & Hamid R. Arabnia. (2022). A Review of Deep Transfer Learning and Recent Advancements. arXiv (Cornell University). 11 indexed citations
4.
Iman, Mohammadreza, Khaled Rasheed, & Hamid R. Arabnia. (2021). EXPANSE, A Continual Deep Learning System; Research Proposal. 2021 International Conference on Computational Science and Computational Intelligence (CSCI). 190–192. 3 indexed citations
5.
Iman, Mohammadreza, Flávia C. Delicato, Claudio M. de Farias, et al.. (2015). THESEUS: A Routing System for Shared Sensor Networks. 108–115. 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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