Mohammad Eghtedari

2.2k citations
45 papers · 1.3k · h-index 15

Impact in

Papers in

Mohammad Eghtedari

39 papers receiving 1.3k citations

Peers

Mohammad Eghtedari
Comparison fields: 5 of 115
  • Biomedical Engineering 775
  • Electronic, Optical and Magnetic Materials 316
  • Biomaterials 211
  • Health Informatics 18
  • Radiology, Nuclear Medicine and Imaging 254
Replace Huimao Zhang with:
Huimao Zhang China
Philip Yang United States
Jacob W. Myerson United States
Huixiong Xu China
Cuiping Yao China
Mostafa Sadoqi United States
Stuart J. Corr United States
J. J. Le Jeune France
Prashant Chandrasekharan Singapore
Mohammad Eghtedari relative to Huimao Zhang China Huimao Zhang's profile →
Citations per field
00.5×1.7×
Huimao Zhang · 1×
Citations per year

Countries citing papers authored by Mohammad Eghtedari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Eghtedari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Eghtedari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Eghtedari Line = papers co-authored together Mohammad Eghtedari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007292
2 2004246
3 2008192
4 2005107
5 201390
6 200846
7 201744
8 201741
9 202041
10 201524
11 201618
12 200617
13 201115
14 201615
15 201414
16 201614
17 200713
18 200312
19 200412
20 201211

About Mohammad Eghtedari

Mohammad Eghtedari is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Organic Chemistry, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (10 papers), Nanoplatforms for cancer theranostics (6 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Breast Lesions and Carcinomas (5 papers), Digital Radiography and Breast Imaging (4 papers), Ultrasound Imaging and Elastography (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Biomedical Engineering (775 citations), Electronic, Optical and Magnetic Materials (316 citations), Biomaterials (211 citations), Health Informatics (18 citations) and Radiology, Nuclear Medicine and Imaging (254 citations). Mohammad Eghtedari has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Alexander A. Oraevsky, John A. Copland, Massoud Motamedi, Nicholas A. Kotov, André Conjusteau, Anton V. Liopo, Vladimir Popov, Nataliya N. Mamedova, Massoud Motamedi and Robert F. Mattrey. Their work appears in journals such as Circulation, The Breast Journal, Nano Letters, Radiographics and Journal of Biomedical Optics.

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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