Amirali Molaei

483 total citations · 1 hit paper
5 papers, 238 citations indexed

About

Amirali Molaei is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amirali Molaei has authored 5 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Amirali Molaei's work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 diagnosis using AI (2 papers). Amirali Molaei is often cited by papers focused on AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 diagnosis using AI (2 papers). Amirali Molaei collaborates with scholars based in Iran, Germany and Denmark. Amirali Molaei's co-authors include Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Rijo Roy, Abin Jose, Ehsan Khodapanah Aghdam, Moein Heidari, Armin Tavakoli, Yiwei Jia and A. Cheldavi and has published in prestigious journals such as Medical Image Analysis, arXiv (Cornell University) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Amirali Molaei

5 papers receiving 233 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.

Advances in medical image analysis with vision Transformers: A comprehensive review

2023 188 citations Reza Azad, Amirhossein Kazerouni et al. Medical Image Analysis profile →

Peers

Amirali Molaei

RNMI

CVPR

AI

NEURO

BE

Rijo Roy Germany

Abin Jose Germany

Murali Krishna Puttagunta India

Le Ding China

Ho Hin Lee United States

Seyed Raein Hashemi United States

Junxuan Yu China

Omid Nejati Manzari Iran

Marija Habijan Croatia

Andrés Anaya-Isaza Colombia

Rijo Roy Germany

Amirali Molaei

94 ×0.9

RNMI

78 ×0.9

CVPR

77 ×1.1

AI

44 ×1.0

NEURO

37 ×0.8

BE

Citations per year, relative to Amirali Molaei Amirali Molaei (= 1×) peers Rijo Roy

Countries citing papers authored by Amirali Molaei

Since Specialization

Citations

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

Fields of papers citing papers by Amirali Molaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirali Molaei

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

All Works

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5 of 5 papers shown

1.

Molaei, Amirali, et al.. (2024). TbExplain: A Text-Based Explanation Method for Scene Classification Models With the Statistical Prediction Correction. Scopus (Elsevier). 54–60. 1 indexed citations

2.

Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Analysis. 91. 103000–103000. 188 indexed citations breakdown →

3.

Molaei, Amirali, et al.. (2023). Implicit Neural Representation in Medical Imaging: A Comparative Survey. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 2373–2383. 39 indexed citations

4.

Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. arXiv (Cornell University). 8 indexed citations

5.

Molaei, Amirali, et al.. (2010). Microstrip Wilkinson power divider with multi-spurious suppression. 1–3. 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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