Mohammad Mansouri

20 papers receiving 513 citations

Mohammad Mansouri's Hit Papers

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets 2018 · 314 citations
3140+2+5Years since publication100200300

Peers

Mohammad Mansouri
Comparison fields: 5 of 85
  • Health Informatics 69
  • Radiology, Nuclear Medicine and Imaging 152
  • Neurology 91
  • Neurology 50
  • Family Practice 6
Replace Sehyo Yune with:
Sehyo Yune South Korea
Prashant Warier United States
Andrés M. Bur United States
Sasank Chilamkurthy United States
Swetha Tanamala United States
Vasantha Kumar Venugopal India
Michelle Livne Germany
Maurizio Cariati Italy
Falgun H. Chokshi United States
Myeongchan Kim South Korea
Mohammad Mansouri relative to Sehyo Yune South Korea Sehyo Yune's profile →
Citations per field
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Sehyo Yune · 1×
Citations per year

Countries citing papers authored by Mohammad Mansouri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Mansouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Mansouri, 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 Mansouri Line = papers co-authored together Mohammad Mansouri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hit paper breakdown →
2018314
2 201739
3 201534
4 201524
5 201522
6 201517
7 201511
8 20159
9 20169
10 20119
11 20157
12 20196
13 20185
14 20184
15 20184
16
SOLUTION OF FLOW FIELD EQUATIONS AND VERIFICATION OF CAVITATION PROBLEM ON SPILLWAY OF THE DAM
20053
17
Liver diseases in patients with primary antibody deficiency
20062
18 20221
19 20241
20 20181

About Mohammad Mansouri

Mohammad Mansouri is a scholar working on Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Artificial Intelligence, having authored 21 papers that have together received 522 indexed citations. Recurring topics across this work include Radiology practices and education (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiation Dose and Imaging (2 papers), Medical Malpractice and Liability Issues (2 papers), Patient Safety and Medication Errors (1 paper), Advanced X-ray and CT Imaging (1 paper), Diabetes and associated disorders (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (152 citations), Neurology (91 citations), Neurology (50 citations) and Family Practice (6 citations). Mohammad Mansouri has collaborated with scholars based in United States, Iran and Netherlands. Frequent co-authors include Michael H. Lev, Synho Do, Hyunkwang Lee, Shahein Tajmir, Hani H. Abujudeh, Shahmir Kamalian, Myeongchan Kim, Javier M. Romero, Ramón González and Sehyo Yune. Their work appears in journals such as Journal of Hepatology, Emergency Radiology, American Journal of Roentgenology, Journal of Neuroimaging and International Journal of Structural Stability and Dynamics.

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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