Tooska Dargahi

2.4k citations
48 papers · 1.4k indexed · 1 hit paper · h-index 17
Topics
Advanced Malware Detection Techniques (15 papers)Blockchain Technology Applications and Security (9 papers)Network Security and Intrusion Detection (8 papers)
Partner nations
United KingdomIranItaly

In The Last Decade

Tooska Dargahi

44 papers receiving 1.3k citations

Hit Papers

A systematic literature review of blockchain cyber security20192026202120232019100200300

Peers

Tooska Dargahi
Comparison fields: 5 of 91
  • Information Systems 782
  • Computer Networks and Communications 728
  • Artificial Intelligence 450
  • Signal Processing 241
  • Electrical and Electronic Engineering 131
Replace Ricardo Neisse with:
Ricardo Neisse Italy
Ahmed Patel Malaysia
Sagar Samtani United States
Ladjel Bellatreche France
Günther Pernul Germany
Mohammad Jabed Morshed Chowdhury Australia
Jorge Bernal Bernabé Spain
Shashank Gupta India
Eyhab Al‐Masri United States
Nur Izura Udzir Malaysia
Tooska Dargahi relative to Ricardo Neisse Italy Ricardo Neisse's profile →
Citations per field
00.5×2.8×
Ricardo Neisse · 1×
Citations per year

Countries citing papers authored by Tooska Dargahi

Since Specialization
Citations

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

Fields of papers citing papers by Tooska Dargahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tooska Dargahi

This figure shows the co-authorship network connecting the top 25 collaborators of Tooska Dargahi. A scholar is included among the top collaborators of Tooska Dargahi 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 Tooska Dargahi. Tooska Dargahi 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 0
3 3
4 1
5 1
6 1
7 4
8 9
9 60
10 4
11 22
12 31
13
A systematic literature review of blockchain cyber securitybreakdown →
397
14 58
15 58
16 55
17 11
18 5
19 18
20 8

About Tooska Dargahi

Tooska Dargahi is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (15 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Information Systems (782 citations), Computer Networks and Communications (728 citations) and Signal Processing (241 citations). Tooska Dargahi has collaborated with scholars based in United Kingdom, Iran and Italy. Frequent co-authors include Ali Dehghantanha, Mauro Conti, Kim‐Kwang Raymond Choo, Reza M. Parizi, Moreno Ambrosin, Giuseppe Bianchi, Sana Belguith, Mohammad Esmaeili, Ahmad Khonsari and Alberto Caponi. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Communications Magazine.

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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