Nabil Neggaz

25 total papers · 1.2k total citations
24 papers, 967 citations indexed

About

Nabil Neggaz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Nabil Neggaz has authored 24 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nabil Neggaz's work include Metaheuristic Optimization Algorithms Research (9 papers), Face and Expression Recognition (5 papers) and Evolutionary Algorithms and Applications (4 papers). Nabil Neggaz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Face and Expression Recognition (5 papers) and Evolutionary Algorithms and Applications (4 papers). Nabil Neggaz collaborates with scholars based in Algeria, Egypt and China. Nabil Neggaz's co-authors include Essam H. Houssein, Kashif Hussain, Mohamed Abd Elaziz, Ahmed A. Ewees, Majdi Mafarja, William Zhu, M. Hassaballah, Ibrahim E. Ibrahim, Yaser M. Wazery and Songfeng Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Nabil Neggaz

23 papers receiving 927 citations

Author Peers

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

Author Last Decade Papers Cites
Nabil Neggaz 587 204 201 108 88 24 967
Bo Wei 664 1.1× 115 0.6× 374 1.9× 98 0.9× 73 0.8× 45 1.0k
Douglas Rodrigues 684 1.2× 222 1.1× 131 0.7× 104 1.0× 266 3.0× 47 1.2k
Qian Zhang 645 1.1× 179 0.9× 194 1.0× 76 0.7× 105 1.2× 28 1.1k
Fukunaga 503 0.9× 309 1.5× 91 0.5× 125 1.2× 72 0.8× 11 1.2k
Tobias Glasmachers 504 0.9× 150 0.7× 133 0.7× 78 0.7× 59 0.7× 44 860
Ahmed M. Anter 461 0.8× 306 1.5× 72 0.4× 103 1.0× 63 0.7× 51 1.1k
Prospero C. Naval 355 0.6× 170 0.8× 252 1.3× 77 0.7× 86 1.0× 45 1.1k
Xiaohong Han 378 0.6× 219 1.1× 56 0.3× 63 0.6× 65 0.7× 28 909
Mehreen Saeed 697 1.2× 165 0.8× 252 1.3× 60 0.6× 159 1.8× 26 1.0k
Xianfang Song 843 1.4× 320 1.6× 247 1.2× 114 1.1× 54 0.6× 18 1.2k

Countries citing papers authored by Nabil Neggaz

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Neggaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Neggaz

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Neggaz. A scholar is included among the top collaborators of Nabil Neggaz 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 Nabil Neggaz. Nabil Neggaz 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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