Arash Mohammadi

4.2k citations
193 papers · 2.7k indexed · 1 hit paper · h-index 28
Topics
Target Tracking and Data Fusion in Sensor Networks (33 papers)Distributed Sensor Networks and Detection Algorithms (25 papers)Distributed Control Multi-Agent Systems (24 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
CanadaIranUnited States

In The Last Decade

Arash Mohammadi

180 papers receiving 2.6k citations

Hit Papers

A multimodal and hybrid deep neural network model for Rem...2019202620212023201950100150200

Peers

Arash Mohammadi
Comparison fields: 5 of 127
  • Artificial Intelligence 869
  • Computer Networks and Communications 704
  • Control and Systems Engineering 659
  • Electrical and Electronic Engineering 522
  • Radiology, Nuclear Medicine and Imaging 391
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Citations per field
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Citations per year

Countries citing papers authored by Arash Mohammadi

Since Specialization
Citations

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

Fields of papers citing papers by Arash Mohammadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Mohammadi

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Mohammadi. A scholar is included among the top collaborators of Arash Mohammadi 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 Arash Mohammadi. Arash Mohammadi 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 1
2 1
3 11
4 0
5 11
6 1
7 3
8 5
9 13
10 34
11 20
12 29
13 13
14 134
15 39
16 35
17 239
18
Radiation Safety Awareness amongst Staff and Patients in the Hospitals
5
19
Acoustic source tracking in a reverberant environment using a pairwise synchronous microphone network
10
20
Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound
6

About Arash Mohammadi

Arash Mohammadi is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 193 papers that have together received 2.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (33 papers), Distributed Sensor Networks and Detection Algorithms (25 papers) and Distributed Control Multi-Agent Systems (24 papers). The work is most often cited by research in Neurology (306 citations), Health Informatics (43 citations) and Computer Networks and Communications (704 citations). Arash Mohammadi has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Amir Asif, Konstantinos N. Plataniotis, Parnian Afshar, Soheil Zabihi, Amir Amini, Elahe Rahimian, Farnoosh Naderkhani, Anastasia Oikonomou, S. Farokh Atashzar and Mohsen Ghafouri. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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