Mohamed Ali

502 total citations
33 papers, 138 citations indexed

About

Mohamed Ali is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohamed Ali has authored 33 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 8 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Mohamed Ali's work include Data Management and Algorithms (16 papers), Automated Road and Building Extraction (7 papers) and Geographic Information Systems Studies (6 papers). Mohamed Ali is often cited by papers focused on Data Management and Algorithms (16 papers), Automated Road and Building Extraction (7 papers) and Geographic Information Systems Studies (6 papers). Mohamed Ali collaborates with scholars based in United States, Finland and United Kingdom. Mohamed Ali's co-authors include Abdeltawab Hendawi, Walid G. Aref, Jonathan Goldstein, Raja Bose, Mohamed F. Mokbel, John Krumm, Ayah Helal, Ibrahim Kamel, Ahmed K. Elmagarmid and Badrish Chandramouli and has published in prestigious journals such as IEEE Access, Computer and Journal of Media Literacy Education.

In The Last Decade

Mohamed Ali

28 papers receiving 133 citations

Peers

Mohamed Ali
Comparison fields: 5 of 58
  • Computer Networks and Communications 56
  • Signal Processing 46
  • Artificial Intelligence 40
  • Building and Construction 25
  • Information Systems 20
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Citations per field, relative to Mohamed Ali
Mohamed Ali · 1×
Citations per year, relative to Mohamed Ali
Mohamed Ali · 1×

Countries citing papers authored by Mohamed Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Ali. A scholar is included among the top collaborators of Mohamed Ali 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 Mohamed Ali. Mohamed Ali 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 0
3 1
4 3
5 0
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7 5
8 4
9 2
10 2
11 3
12 5
13 2
14 7
15 6
16 14
17
BicAT_Plus: An automatic comparative tool for bi/clustering of gene expression data obtained using microarrays
5
18
Consistency Sensitive Operators in CEDR
5
19
Nile-PDT: a phenomenon detection and tracking framework for data stream management systems
30
20 2

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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