Arsalan Mosenia

12 papers receiving 728 citations

Hit Papers

A Comprehensive Study of Security of Internet-of-Things20162026201920222016100200300400500

Peers

Arsalan Mosenia
Comparison fields: 5 of 86
  • Computer Networks and Communications 473
  • Information Systems 275
  • Signal Processing 243
  • Artificial Intelligence 162
  • Electrical and Electronic Engineering 127
Replace Ming‐Hour Yang with:
Ming‐Hour Yang Taiwan
Thomas S. Heydt-Benjamin Switzerland
Liberios Vokorokos Slovakia
Prosanta Gope Taiwan
Linqiang Ge United States
Athanasios Kakarountas Greece
T. Andrew Yang United States
Faisal Hussain Pakistan
Hon Cheung Australia
Arsalan Mosenia relative to Ming‐Hour Yang Taiwan Ming‐Hour Yang's profile →
Citations per field
00.5×4.4×
Ming‐Hour Yang · 1×
Citations per year

Countries citing papers authored by Arsalan Mosenia

Since Specialization
Citations

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

Fields of papers citing papers by Arsalan Mosenia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arsalan Mosenia

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 22
2 4
3 4
4 10
5 2
6 105
7 25
8 6
9 22
10 9
11
A Comprehensive Study of Security of Internet-of-Thingsbreakdown →
501
12 52

About Arsalan Mosenia

Arsalan Mosenia is a scholar working on Signal Processing, Computer Science Applications and Computer Networks and Communications, having authored 12 papers that have together received 762 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), IoT and Edge/Fog Computing (3 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Signal Processing (243 citations), Computer Networks and Communications (473 citations) and Information Systems (275 citations). Arsalan Mosenia has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Niraj K. Jha, Anand Raghunathan, Susmita Sur‐Kolay, Prateek Mittal, Hongxu Yin, Xiaoliang Dai, John K. Zao, Mung Chiang, Liwei Song and David Wentzlaff. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Emerging Topics in Computing and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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