Sofiane Lagraa

445 citations
30 papers · 312 · h-index 12

Impact in

Papers in

Sofiane Lagraa

30 papers receiving 306 citations

Peers

Sofiane Lagraa
Comparison fields: 5 of 27
  • Computer Networks and Communications 154
  • Artificial Intelligence 101
  • Information Systems 60
  • Hardware and Architecture 13
  • Statistical and Nonlinear Physics 12
Replace Nam-Su Jho with:
Nam-Su Jho South Korea
D. Ohsie United States
Maitreya Natu India
Jeffrey S. Chavis United States
Yao Zhao United States
Carlton Shepherd United Kingdom
Xinzhou Qin United States
Shmuel Kliger United States
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Citations per field
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Citations per year

Countries citing papers authored by Sofiane Lagraa

Since Specialization
Citations

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

Fields of papers citing papers by Sofiane Lagraa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Sofiane Lagraa, 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 Sofiane Lagraa Line = papers co-authored together Sofiane Lagraa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202026
2 201724
3 202024
4 202324
5 201722
6 201819
7 201817
8 201917
9 201914
10 201413
11 201913
12 201912
13 202011
14 20147
15 20167
16
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining.
20177
17 20196
18 20206
19 20206
20 20115

About Sofiane Lagraa

Sofiane Lagraa is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 312 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Anomaly Detection Techniques and Applications (4 papers), Embedded Systems Design Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers), Graph Theory and Algorithms (3 papers), Adversarial Robustness in Machine Learning (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (154 citations), Artificial Intelligence (101 citations), Information Systems (60 citations), Hardware and Architecture (13 citations) and Statistical and Nonlinear Physics (12 citations). Sofiane Lagraa has collaborated with scholars based in Luxembourg, France and Netherlands. Frequent co-authors include Radu State, Hamida Seba, Jérôme François, Hamamache Kheddouci, Frédéric Pétrot, Antonio Ken Iannillo, Alexandre Termier, Abdelkader Lahmadi, Satyanarayana Vuppala and Martin Husák. Their work appears in journals such as Pattern Recognition, International Journal of Information Security, Immunotechnology, Data Mining and Knowledge Discovery and Lecture notes in computer science.

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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