Adel Saleh

469 citations
17 papers · 149 indexed · h-index 6
Topics
AI in cancer detection (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Digital Imaging for Blood Diseases (4 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition Letters
Partner nations
SpainEgyptUnited Kingdom

In The Last Decade

Adel Saleh

16 papers receiving 142 citations

Peers

Adel Saleh
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 74
  • Artificial Intelligence 57
  • Endocrinology, Diabetes and Metabolism 50
  • Computer Vision and Pattern Recognition 49
  • Biophysics 18
Replace Bill Cassidy with:
Bill Cassidy United Kingdom
D. Hernandez-Contreras Mexico
Claire O’Shea New Zealand
Shubham Jain United States
Fabián Narváez Colombia
Ahmed Sakr Egypt
N.A. Kriti India
Oscar Durán Colombia
Ho Hin Lee United States
Adel Saleh relative to Bill Cassidy United Kingdom Bill Cassidy's profile →
Citations per field
00.5×
Bill Cassidy · 1×
Citations per year

Countries citing papers authored by Adel Saleh

Since Specialization
Citations

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

Fields of papers citing papers by Adel Saleh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Saleh

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 2
3 3
4 11
5 4
6 5
7 7
8 7
9 2
10
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks.
4
11 2
12 10
13 73
14 14
15 1
16 2
17 0

About Adel Saleh

Adel Saleh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 17 papers that have together received 149 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Occupational Therapy (15 citations), Radiology, Nuclear Medicine and Imaging (74 citations) and Biophysics (18 citations). Adel Saleh has collaborated with scholars based in Spain, Egypt and United Kingdom. Frequent co-authors include Domènec Puig, Mohamed Abdel‐Nasser, Basil Mustafa, Mohanad Alkhodari, Luay Fraiwan, Mohammed Ghazal, Antonio Moreno, Osama A. Omer, Miguel Ángel García and Vivek Kumar Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition Letters.

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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