Ahmed Hosny

16.1k citations
50 papers · 10.1k indexed · 7 hit papers · h-index 21
Topics
Radiomics and Machine Learning in Medical Imaging (18 papers)earthquake and tectonic studies (12 papers)Lung Cancer Diagnosis and Treatment (9 papers)
Journals
ScienceNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Ahmed Hosny

46 papers receiving 9.9k citations

Hit Papers

Computational Radiomics System to Decode the Radiographic...20172026202020232017201820192019201810002.0k3.0k4.0k

Peers

Ahmed Hosny
Comparison fields: 5 of 196
  • Radiology, Nuclear Medicine and Imaging 7.4k
  • Pulmonary and Respiratory Medicine 2.8k
  • Biomedical Engineering 2.3k
  • Artificial Intelligence 2.2k
  • Health Informatics 1.5k
Replace Jayashree Kalpathy–Cramer with:
Jayashree Kalpathy–Cramer United States
Raymond H. Mak United States
Chintan Parmar United States
Namkug Kim South Korea
Kyunghwa Han South Korea
Issam El Naqa United States
Bradley J. Erickson United States
Henry C. Woodruff Netherlands
Maryellen L. Giger United States
Arthur Jochems Netherlands
Ahmed Hosny relative to Jayashree Kalpathy–Cramer United States Jayashree Kalpathy–Cramer's profile →
Citations per field
00.5×1.5×1.8×
Jayashree Kalpathy–Cramer · 1×
Citations per year

Countries citing papers authored by Ahmed Hosny

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Hosny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Hosny

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3
Foundation model for cancer imaging biomarkersbreakdown →
63
4 1
5 10
6 35
7 5
8 204
9 7
10 242
11
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imagingbreakdown →
402
12 80
13 62
14 87
15 43
16
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics studybreakdown →
398
17 33
18
Earthquake swarm in non-volcanic areas of western Saudi Arabia: comparison of observations and imaging
2
19
Computational Radiomics System to Decode the Radiographic Phenotypebreakdown →
4200
20 9

About Ahmed Hosny

Ahmed Hosny is a scholar working on Health Informatics, Geophysics and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 10.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), earthquake and tectonic studies (12 papers) and Lung Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Health Informatics (1.5k citations), Radiology, Nuclear Medicine and Imaging (7.4k citations) and Pulmonary and Respiratory Medicine (2.8k citations). Ahmed Hosny has collaborated with scholars based in United States, Egypt and Netherlands. Frequent co-authors include Hugo J.W.L. Aerts, Chintan Parmar, Lawrence H. Schwartz, John Quackenbush, Steve Pieper, Andriy Fedorov, Jean‐Christophe Fillion‐Robin, Vivek Narayan, Regina G. H. Beets‐Tan and Nicole Aucoin. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

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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