Naser Ezzati‐Jivan

522 citations
54 papers · 372 · h-index 11

Impact in

Papers in

Naser Ezzati‐Jivan

39 papers receiving 356 citations

Peers

Naser Ezzati‐Jivan
Comparison fields: 5 of 35
  • Signal Processing 160
  • Computer Networks and Communications 313
  • Information Systems 146
  • Hardware and Architecture 44
  • Artificial Intelligence 131
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Citations per field
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Citations per year

Countries citing papers authored by Naser Ezzati‐Jivan

Since Specialization
Citations

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

Fields of papers citing papers by Naser Ezzati‐Jivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naser Ezzati‐Jivan. 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 Naser Ezzati‐Jivan. The network helps show where Naser Ezzati‐Jivan may publish in the future.

Co-authors

The 11 scholars most cited alongside Naser Ezzati‐Jivan, 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 Naser Ezzati‐Jivan Line = papers co-authored together Naser Ezzati‐Jivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Intrusion Response Systems: Survey and Taxonomy
201280
2 202072
3 201226
4 201924
5 201323
6 201722
7 201315
8 201712
9 201312
10 201410
11 201610
12 20219
13 20158
14 20216
15 20216
16 20123
17 20133
18 20212
19 20242
20 20212

About Naser Ezzati‐Jivan

Naser Ezzati‐Jivan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Hardware and Architecture, having authored 54 papers that have together received 372 indexed citations. Recurring topics across this work include Software System Performance and Reliability (34 papers), Network Security and Intrusion Detection (17 papers), Cloud Computing and Resource Management (14 papers), Anomaly Detection Techniques and Applications (9 papers), Distributed systems and fault tolerance (9 papers), Advanced Malware Detection Techniques (8 papers), Data Management and Algorithms (7 papers) and Advanced Software Engineering Methodologies (6 papers). The work is most often cited by research in Signal Processing (160 citations), Computer Networks and Communications (313 citations), Information Systems (146 citations), Hardware and Architecture (44 citations) and Artificial Intelligence (131 citations). Naser Ezzati‐Jivan has collaborated with scholars based in Canada, France and Spain. Frequent co-authors include Michel Dagenais, Alireza Shameli‐Sendi, Daniel Aloise, José M. Fernandez, Chamseddine Talhi, Martine Bellaïche, Mohammed A. Shehab, Abdelwahab Hamou‐Lhadj, Beatrice Ombuki-Berman and James Miller. Their work appears in journals such as Software Quality Journal, Sensors, Journal of Systems Architecture, Journal of Cloud Computing Advances Systems and Applications and Journal of Systems and Software.

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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