Mohammad Deghat

1.2k citations
43 papers · 858 indexed · h-index 12
Topics
Distributed Control Multi-Agent Systems (20 papers)Target Tracking and Data Fusion in Sensor Networks (11 papers)Robotics and Sensor-Based Localization (8 papers)

In The Last Decade

Mohammad Deghat

32 papers receiving 849 citations

Peers

Mohammad Deghat
Comparison fields: 5 of 40
  • Computer Networks and Communications 662
  • Control and Systems Engineering 354
  • Aerospace Engineering 326
  • Computer Vision and Pattern Recognition 190
  • Artificial Intelligence 166
Replace Héctor García de Marina with:
Héctor García de Marina Netherlands
Hamed Rezaee Iran
Abdelkader Abdessameud Canada
Mario Tosques Italy
David Saldaña United States
Wenze Ren United States
Saing Paul Hou Singapore
Yinya Li China
A. Sanchez Mexico
N. Michael United States
Mohammad Deghat relative to Héctor García de Marina Netherlands Héctor García de Marina's profile →
Citations per field
00.5×1.6×
Héctor García de Marina · 1×
Citations per year

Countries citing papers authored by Mohammad Deghat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Deghat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Deghat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Deghat. A scholar is included among the top collaborators of Mohammad Deghat 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 Mohammad Deghat. Mohammad Deghat 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 0
4 6
5 0
6 2
7 0
8 2
9 0
10 18
11 0
12 40
13 5
14 3
15
Velocity consensus and formation shape control using distance-only measurements.
1
16 42
17 207
18
Localization and circumnavigation of a group of targets by a single agent using bearing measurements
9
19 10
20 3

About Mohammad Deghat

Mohammad Deghat is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Aerospace Engineering, having authored 43 papers that have together received 858 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (20 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Computer Networks and Communications (662 citations), Control and Systems Engineering (354 citations) and Aerospace Engineering (326 citations). Mohammad Deghat has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Brian D. O. Anderson, Iman Shames, Changbin Yu, Yiguang Hong, Zhiyun Lin, Zhiyong Sun, Adrian N. Bishop, Lu Xia, Shaoshuai Mou and Hyo‐Sung Ahn. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Access.

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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