Lotfi Mhamdi

48 papers receiving 1.3k citations

Hit Papers

Deep learning approach for Network Intrusion Detection in...20162026201920222016100200300400500

Peers

Lotfi Mhamdi
Comparison fields: 5 of 59
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 640
  • Signal Processing 414
  • Electrical and Electronic Engineering 320
  • Information Systems 164
Replace Michael Welzl with:
Michael Welzl Norway
Nils Gura United States
Jason Blome United States
Ramón Canal Spain
V. Kumar United States
Matthias Wählisch Germany
Sotirios G. Ziavras United States
Werner Haas Austria
Katsunari Yoshioka Japan
Lotfi Mhamdi relative to Michael Welzl Norway Michael Welzl's profile →
Citations per field
00.5×9.6×
Michael Welzl · 1×
Citations per year

Countries citing papers authored by Lotfi Mhamdi

Since Specialization
Citations

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

Fields of papers citing papers by Lotfi Mhamdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lotfi Mhamdi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 1
4 1
5 7
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8 1
9
Deep learning approach for Network Intrusion Detection in Software Defined Networkingbreakdown →
526
10 4
11 2
12 1
13 159
14 17
15 6
16
Scheduling in high performance buffered crossbar switches
0
17 12
18 5
19 6
20 67

About Lotfi Mhamdi

Lotfi Mhamdi is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electronic, Optical and Magnetic Materials, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Interconnection Networks and Systems (31 papers), Software-Defined Networks and 5G (29 papers) and Advancements in Battery Materials (12 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Signal Processing (414 citations) and Artificial Intelligence (640 citations). Lotfi Mhamdi has collaborated with scholars based in United Kingdom, Netherlands and Hong Kong. Frequent co-authors include Mounir Ghogho, Des McLernon, Syed Ali Raza Zaidi, Mounir Hamdi, Kees Goossens, S. Vassiliadis, Stamatis Vassiliadis, Zaki Brahmi, J.J. Garcia‐Luna‐Aceves and Koen Bertels. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.

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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