M. Saeed Darweesh

94 total papers · 746 total citations
67 papers, 393 citations indexed

About

M. Saeed Darweesh is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, M. Saeed Darweesh has authored 67 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 23 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in M. Saeed Darweesh's work include Autonomous Vehicle Technology and Safety (12 papers), Video Surveillance and Tracking Methods (6 papers) and Face recognition and analysis (6 papers). M. Saeed Darweesh is often cited by papers focused on Autonomous Vehicle Technology and Safety (12 papers), Video Surveillance and Tracking Methods (6 papers) and Face recognition and analysis (6 papers). M. Saeed Darweesh collaborates with scholars based in Egypt, United Arab Emirates and United Kingdom. M. Saeed Darweesh's co-authors include Ahmed Soltan, Hassan Mostafa, Mohamed Adel, Tawfik Ismail, Ahmed Kotb, Mustafa Elattar, Haitham Mahmoud, Ali Wagdy Mohamed, Khaled Elsayed and Mohamed Rady and has published in prestigious journals such as Scientific Reports, IEEE Access and Alexandria Engineering Journal.

In The Last Decade

M. Saeed Darweesh

56 papers receiving 375 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Saeed Darweesh 119 88 75 63 58 67 393
Gonzalo Carvajal 84 0.7× 56 0.6× 36 0.5× 74 1.2× 22 0.4× 47 382
Kiran Kumari Patil 58 0.5× 88 1.0× 52 0.7× 101 1.6× 29 0.5× 47 386
S. Sakthivel Murugan 86 0.7× 76 0.9× 40 0.5× 26 0.4× 21 0.4× 67 390
Trung‐Kien Dao 105 0.9× 47 0.5× 24 0.3× 22 0.3× 53 0.9× 34 337
K. Saikumar 112 0.9× 66 0.8× 80 1.1× 115 1.8× 15 0.3× 55 412
Nan Ma 38 0.3× 107 1.2× 81 1.1× 18 0.3× 51 0.9× 57 383
Jing Zhao 61 0.5× 137 1.6× 86 1.1× 37 0.6× 8 0.1× 79 422
U. Sakthi 123 1.0× 32 0.4× 69 0.9× 151 2.4× 16 0.3× 45 381
C. Ganesh Babu 88 0.7× 39 0.4× 78 1.0× 45 0.7× 13 0.2× 70 351
Abhay Chaturvedi 134 1.1× 48 0.5× 82 1.1× 99 1.6× 23 0.4× 69 435

Countries citing papers authored by M. Saeed Darweesh

Since Specialization
Citations

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

Fields of papers citing papers by M. Saeed Darweesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Saeed Darweesh. 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 M. Saeed Darweesh. The network helps show where M. Saeed Darweesh may publish in the future.

Co-authorship network of co-authors of M. Saeed Darweesh

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

All Works

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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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