Peyman Moghadam

2.0k citations
69 papers · 1000 indexed · h-index 18
Topics
Robotics and Sensor-Based Localization (17 papers)Advanced Vision and Imaging (10 papers)Remote Sensing in Agriculture (8 papers)

In The Last Decade

Peyman Moghadam

63 papers receiving 950 citations

Peers

Peyman Moghadam
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 390
  • Aerospace Engineering 379
  • Plant Science 170
  • Geology 149
  • Environmental Engineering 146
Replace Diana‐Margarita Córdova‐Esparza with:
Diana‐Margarita Córdova‐Esparza Mexico
Tian Zhou United States
Annalisa Milella Italy
Jinshi Cui China
Michel Devy France
Miguel Torres‐Torriti Chile
Alain Pagani Germany
M.J. Aldon France
Cihan Topal Türkiye
Peyman Moghadam relative to Diana‐Margarita Córdova‐Esparza Mexico Diana‐Margarita Córdova‐Esparza's profile →
Citations per field
00.5×10.5×
Diana‐Margarita Córdova‐Esparza · 1×
Citations per year

Countries citing papers authored by Peyman Moghadam

Since Specialization
Citations

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

Fields of papers citing papers by Peyman Moghadam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peyman Moghadam

This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Moghadam. A scholar is included among the top collaborators of Peyman Moghadam 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 Peyman Moghadam. Peyman Moghadam 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 5
3 0
4 0
5 0
6 2
7 3
8 0
9 50
10 17
11 9
12 31
13
Deep leaf segmentation using synthetic data
6
14
Terrain characterisation and gait adaptation by a hexapod robot
2
15
Coverage-based next best view selection
3
16
An evaluation of multi-modal user interface elements for tablet-based robot teleoperation
4
17
Spectra: 3D multispectral fusion and visualization toolkit
4
18
Real-Time Stabilisation for Hexapod Robots.
2
19
Terrain classification using a hexapod robot
21
20 22

About Peyman Moghadam

Peyman Moghadam is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Human-Computer Interaction, having authored 69 papers that have together received 1000 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Vision and Imaging (10 papers) and Remote Sensing in Agriculture (8 papers). The work is most often cited by research in Geology (149 citations), Computer Vision and Pattern Recognition (390 citations) and Aerospace Engineering (379 citations). Peyman Moghadam has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Michael Bosse, Stephen Vidas, Sridha Sridharan, Robert Zlot, Clinton Fookes, Milad Ramezani, Hamed Ketabdar, Everard J. Edwards, W.S. Wijesoma and Daniel B. Ward. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Hazardous Materials.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026