Ahmad Salah

1.5k total citations
74 papers, 906 citations indexed

About

Ahmad Salah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ahmad Salah has authored 74 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Networks and Communications. Recurrent topics in Ahmad Salah's work include Algorithms and Data Compression (8 papers), Geotechnical Engineering and Underground Structures (8 papers) and Cloud Computing and Resource Management (7 papers). Ahmad Salah is often cited by papers focused on Algorithms and Data Compression (8 papers), Geotechnical Engineering and Underground Structures (8 papers) and Cloud Computing and Resource Management (7 papers). Ahmad Salah collaborates with scholars based in Egypt, China and Oman. Ahmad Salah's co-authors include Kenli Li, Khalid M. Hosny, Mohamed Darwish, Songfeng Lu, Mohamed Abd Elaziz, Ahmed T. Sahlol, Ahmed Fathalla, Liqian Zhou, Longxin Zhang and Juan Luo and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Ahmad Salah

62 papers receiving 869 citations

Peers

Ahmad Salah
Comparison fields: 5 of 121
  • Artificial Intelligence 266
  • Computer Networks and Communications 223
  • Radiology, Nuclear Medicine and Imaging 219
  • Computer Vision and Pattern Recognition 183
  • Information Systems 176
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Md. Rezaul Karim Germany View profile →
Citations per field, relative to Ahmad Salah
Ahmad Salah · 1×
Citations per year, relative to Ahmad Salah
Ahmad Salah · 1×

Countries citing papers authored by Ahmad Salah

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Salah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Salah

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Salah. A scholar is included among the top collaborators of Ahmad Salah 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 Ahmad Salah. Ahmad Salah 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 0
2 4
3 1
4 3
5 0
6 6
7 1
8 5
9 2
10 2
11 0
12 4
13 1
14 26
15 36
16 236
17 43
18 14
19
PSISA: an algorithm for indexing and searching protein structure using suffix arrays
3
20
Protein Structure Searching using Suffix Arrays.
1

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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