Mohsen Rashwan

1.2k total citations
78 papers, 685 citations indexed

About

Mohsen Rashwan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mohsen Rashwan has authored 78 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Mohsen Rashwan's work include Handwritten Text Recognition Techniques (25 papers), Natural Language Processing Techniques (22 papers) and Topic Modeling (18 papers). Mohsen Rashwan is often cited by papers focused on Handwritten Text Recognition Techniques (25 papers), Natural Language Processing Techniques (22 papers) and Topic Modeling (18 papers). Mohsen Rashwan collaborates with scholars based in Egypt, Saudi Arabia and Kuwait. Mohsen Rashwan's co-authors include Sherif Abdou, Hazem Raafat, Ahmed Rafea, Mahmoud I. Abdalla, Mohammed S. Sayed, Mohamed Attia, Hassanin M. Al-Barhamtoshy, Mohamed Al-Badrashiny, Ahmad A. Al Sallab and Ossama Abdel‐Hamid and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Sciences.

In The Last Decade

Mohsen Rashwan

68 papers receiving 628 citations

Peers

Mohsen Rashwan
Comparison fields: 5 of 83
  • Artificial Intelligence 486
  • Computer Vision and Pattern Recognition 213
  • Signal Processing 95
  • Radiology, Nuclear Medicine and Imaging 62
  • Information Systems 59
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Citations per field, relative to Mohsen Rashwan
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Citations per year, relative to Mohsen Rashwan
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Countries citing papers authored by Mohsen Rashwan

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Rashwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Rashwan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Rashwan. A scholar is included among the top collaborators of Mohsen Rashwan 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 Mohsen Rashwan. Mohsen Rashwan 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 2
2 7
3 6
4 11
5 5
6 1
7 1
8 1
9
Vector Based Techniques for Short Answer Grading.
21
10
RDI System for Extrinsic Plagiarism Detection (RDI_RED), Working Notes for PANAraPlagDet at FIRE 2015.
7
11
Cross Lingual Lexical Substitution Using Word Representation in Vector Space.
0
12 2
13
Arabic online word extraction from handwritten text using SVM-RBF classifiers decision fusion
0
14 14
15
A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields
4
16
Building Annotated Written and Spoken Arabic LRs in NEMLAR Project
27
17 22
18 2
19 2
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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