Nabil Hmina

81 papers receiving 530 citations

Peers

Nabil Hmina
Comparison fields: 5 of 93
  • Computer Networks and Communications 117
  • Energy Engineering and Power Technology 14
  • Signal Processing 48
  • Control and Systems Engineering 98
  • Automotive Engineering 41
Replace Kaixiang Lin with:
Kaixiang Lin United States
Guan Wang China
Zhuangdi Zhu United States
Syed Kumayl Raza Moosavi Pakistan
Shuva Paul United States
Israa Al Barazanchi Iraq
Jan Haase Austria
Nan Pan China
Johnny Koh Siaw Paw Malaysia
Alireza Ghasempour United States
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Citations per year

Countries citing papers authored by Nabil Hmina

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Hmina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Nabil Hmina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nabil Hmina Line = papers co-authored together Nabil Hmina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202042
2 201839
3 202419
4 201719
5 202118
6 201818
7 201917
8 201816
9 201815
10 199815
11 202114
12 202114
13 201914
14 201914
15 201613
16 201813
17 201912
18 201711
19 199811
20 202011

About Nabil Hmina

Nabil Hmina is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 90 papers that have together received 551 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Additive Manufacturing and 3D Printing Technologies (7 papers), Face and Expression Recognition (7 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Face recognition and analysis (6 papers), Electromagnetic Fields and Biological Effects (5 papers), Network Security and Intrusion Detection (5 papers) and E-Learning and Knowledge Management (5 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Energy Engineering and Power Technology (14 citations), Signal Processing (48 citations), Control and Systems Engineering (98 citations) and Automotive Engineering (41 citations). Nabil Hmina has collaborated with scholars based in Morocco, France and United States. Frequent co-authors include Tomader Mazri, Aouatif Amine, Habiba Chaoui, Younès El Bouzekri El Idrissi, Y. Scudeller, Abdelkhalak El Hami, Soufiane Belhouideg, Manuel Lagache, Hanaâ Hachimi and J.P. Bardon. Their work appears in journals such as International Journal of Critical Infrastructures, Electronics, Computational Geometry, Indian Journal of Science and Technology and Thin Solid Films.

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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