Ahmed Elnakib

3.3k total citations
104 papers, 1.6k citations indexed

About

Ahmed Elnakib is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ahmed Elnakib has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Computer Vision and Pattern Recognition and 22 papers in Artificial Intelligence. Recurrent topics in Ahmed Elnakib's work include Medical Image Segmentation Techniques (30 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and AI in cancer detection (15 papers). Ahmed Elnakib is often cited by papers focused on Medical Image Segmentation Techniques (30 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and AI in cancer detection (15 papers). Ahmed Elnakib collaborates with scholars based in United States, Egypt and New Zealand. Ahmed Elnakib's co-authors include Ayman El‐Baz, Georgy Gimel’farb, Fahmi Khalifa, Ahmed Soliman, Mohamed Abou El‐Ghar, Garth M. Beache, Hossam El-Din Moustafa, Manuel F. Casanova, Andrew E. Switala and Matthew Nitzken and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and IEEE Access.

In The Last Decade

Ahmed Elnakib

99 papers receiving 1.6k citations

Peers

Ahmed Elnakib
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 878
  • Computer Vision and Pattern Recognition 416
  • Pulmonary and Respiratory Medicine 380
  • Artificial Intelligence 347
  • Cognitive Neuroscience 238
Replace Ahmed Soliman with:
Ahmed Soliman United States
Fahmi Khalifa United States
Jinzhu Yang China
Zhongxiang Ding China
Bram Platel Netherlands
E. Bullitt United States
Martin Rajchl Canada
Jeffrey N. Chiang United States
Sailesh Conjeti Germany
Olivier Commowick France
Ahmed Soliman United States View profile →
Citations per field, relative to Ahmed Elnakib
Ahmed Elnakib · 1×
Citations per year, relative to Ahmed Elnakib
Ahmed Elnakib · 1×

Countries citing papers authored by Ahmed Elnakib

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Elnakib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Elnakib

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed Elnakib. A scholar is included among the top collaborators of Ahmed Elnakib 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 Elnakib. Ahmed Elnakib 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
# Work Indexed citations
1 1
2 21
3 26
4 4
5 21
6 9
7 17
8 0
9 16
10 27
11
Deep segmentation of the liver and the hepatic tumors from abdomen CT images
0
12 21
13 8
14 15
15 1
16 4
17 2
18 15
19 5
20 38

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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