Mohammadreza Ebrahimi

506 citations
22 papers · 307 indexed · h-index 10
Topics
Advanced Malware Detection Techniques (9 papers)Cybercrime and Law Enforcement Studies (8 papers)Spam and Phishing Detection (6 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Mohammadreza Ebrahimi

21 papers receiving 288 citations

Peers

Mohammadreza Ebrahimi
Comparison fields: 5 of 69
  • Information Systems 159
  • Artificial Intelligence 134
  • Signal Processing 118
  • Sociology and Political Science 54
  • Computer Networks and Communications 53
Replace David Gresty with:
David Gresty United Kingdom
Peter Snyder United States
Daniel Votipka United States
Erion Çano Italy
Javier Pastor-Galindo Spain
Kinam Park South Korea
Iman Kamehkhosh Germany
Hyunji Chung South Korea
Gastón L’Huillier Chile
Sadaf Hina Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Mohammadreza Ebrahimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammadreza Ebrahimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammadreza Ebrahimi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammadreza Ebrahimi. A scholar is included among the top collaborators of Mohammadreza Ebrahimi 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 Mohammadreza Ebrahimi. Mohammadreza Ebrahimi 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 5
3 2
4 30
5 9
6 1
7 3
8 13
9 3
10 15
11 7
12 7
13 4
14 55
15 16
16 21
17 3
18 3
19 19
20 52

About Mohammadreza Ebrahimi

Mohammadreza Ebrahimi is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 22 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Cybercrime and Law Enforcement Studies (8 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Signal Processing (118 citations), Information Systems (159 citations) and Artificial Intelligence (134 citations). Mohammadreza Ebrahimi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hsinchun Chen, Jay F. Nunamaker, Sagar Samtani, Ching Y. Suen, Olga Ormandjieva, Weifeng Li, Yidong Chai, Hsinchun Chen, Balaji Padmanabhan and Ning Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, MIS Quarterly and Journal of Management Information 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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