Mahmoud Néji

719 citations
50 papers · 387 indexed · h-index 9

Mahmoud Néji

49 papers receiving 363 citations

Peers

Mahmoud Néji
Comparison fields: 5 of 61
  • Human-Computer Interaction 53
  • Computer Science Applications 44
  • Computer Vision and Pattern Recognition 110
  • Artificial Intelligence 152
  • Developmental and Educational Psychology 53
Replace T. S. Ashwin with:
T. S. Ashwin India
M. Sasikumar India
Kamal Bijlani India
Matúš Pleva Slovakia
Tianwei Wang China
Ioana Ghergulescu Ireland
Jeffrey Usher United States
Isabelle Hupont Spain
Srinivas Sridharan United States
Wanda Benešová Slovakia
Mahmoud Néji relative to T. S. Ashwin India T. S. Ashwin's profile →
Citations per field
00.5×2.8×
T. S. Ashwin · 1×
Citations per year

Countries citing papers authored by Mahmoud Néji

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Néji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Mahmoud Néji, 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 Mahmoud Néji Line = papers co-authored together Mahmoud Néji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 20202
3 202022
4 20201
5
Feature selection based on hybrid optimization for magnetic resonance imaging brain tumor classification and segmentation
20195
6
MIH/SDN-Based Vertical Handover Approach for 5G Mobile Networks.
20196
7
Optimized Handover Mechanism in Heterogeneous Vehicular Communication Systems.
20191
8 20194
9 201828
10
A Framework for People Re-Identification in Multi-Camera Surveillance Systems.
20174
11 20168
12 20168
13 20151
14 20145
15 20133
16
PIRSIDIL: A personalized information retrieval system in a digital library
20111
17
Agent-Based Collaborative Affective e-Learning Framework.
200728
18
Affective e-Learning Framework
20062
19
E-learning peer to peer using eeca based on the pecs model
20051
20
Emotional multi-agents system for peer to peer e-learning (EMASPEL)
20055

About Mahmoud Néji

Mahmoud Néji is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 50 papers that have together received 387 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Semantic Web and Ontologies (8 papers), Topic Modeling (7 papers), Hand Gesture Recognition Systems (7 papers), Image Retrieval and Classification Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Text Analysis Techniques (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Human-Computer Interaction (53 citations), Computer Science Applications (44 citations) and Computer Vision and Pattern Recognition (110 citations). Mahmoud Néji has collaborated with scholars based in Tunisia, France and Saudi Arabia. Frequent co-authors include Mohamed Ben Ammar, Adel M. Alimi, Faouzi Zarai, Ahmed Kharrat, Thierry Bouwmans, Patrice Bellot, Monji Kherallah, Christophe Kolski, A. Trabelsi and Mohammad S. Obaidat. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026