Mohammad Shahverdy

469 citations
9 papers · 296 indexed · h-index 4
Topics
Autonomous Vehicle Technology and Safety (5 papers)Advanced Neural Network Applications (3 papers)Vehicle emissions and performance (2 papers)
Partner nations
Iran

In The Last Decade

Mohammad Shahverdy

9 papers receiving 286 citations

Peers

Mohammad Shahverdy
Comparison fields: 5 of 62
  • Automotive Engineering 136
  • Computer Vision and Pattern Recognition 75
  • Building and Construction 65
  • Safety, Risk, Reliability and Quality 62
  • Artificial Intelligence 50
Replace Yingshi Guo with:
Yingshi Guo China
Igor Lashkov Russia
Mingqi Lu China
Duy Tran United States
Amardeep Sathyanarayana United States
Jochen Pohl Sweden
Hesham M. Eraqi Egypt
Haluk Eren Türkiye
Mohammad Shahverdy relative to Yingshi Guo China Yingshi Guo's profile →
Citations per field
00.5×1.5×2.2×
Yingshi Guo · 1×
Citations per year

Countries citing papers authored by Mohammad Shahverdy

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shahverdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shahverdy

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 37
4 15
5 220
6 16
7
WIRELESS MESH NETWORK ROUTING: A COMPARATIVE SURVEY
2
8
Overview of routing algorithms in WBAN
2
9 2

About Mohammad Shahverdy

Mohammad Shahverdy is a scholar working on Automotive Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 296 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Automotive Engineering (136 citations), Safety, Risk, Reliability and Quality (62 citations) and Building and Construction (65 citations). Mohammad Shahverdy has collaborated with scholars based in Iran. Frequent co-authors include Mahmood Fathy, Mohammad Sabokrou, Reza Berangi and Seyed Mahdi Jameii. Their work appears in journals such as Expert Systems with Applications, Electronics Letters and The Journal of Supercomputing.

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