Mohammad Rokonuzzaman

828 citations
48 papers · 496 · h-index 12

Impact in

    • Vehicle Dynamics and Control Systems
    • Autonomous Vehicle Technology and Safety
    • Control and Dynamics of Mobile Robots
    • Real-time simulation and control systems
    • Traffic control and management
    • Advanced Control Systems Optimization

Papers in

Mohammad Rokonuzzaman

41 papers receiving 485 citations

Peers

Mohammad Rokonuzzaman
Comparison fields: 5 of 70
  • Automotive Engineering 219
  • Control and Systems Engineering 234
  • Computer Vision and Pattern Recognition 102
  • Safety, Risk, Reliability and Quality 31
  • Civil and Structural Engineering 69
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Rokonuzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Rokonuzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Rokonuzzaman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Rokonuzzaman Line = papers co-authored together Mohammad Rokonuzzaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 202160
3 201945
4 202240
5 202022
6 201819
7 202219
8 201918
9 202216
10 202215
11 202513
12 201112
13 201811
14 202010
15 201710
16 20219
17 20199
18 20147
19 20176
20 20225

About Mohammad Rokonuzzaman

Mohammad Rokonuzzaman is a scholar working on Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Computer Networks and Communications, having authored 48 papers that have together received 496 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (13 papers), Robotic Path Planning Algorithms (12 papers), Control and Dynamics of Mobile Robots (7 papers), Autonomous Vehicle Technology and Safety (5 papers), Geotechnical Engineering and Underground Structures (5 papers), Geotechnical Engineering and Analysis (4 papers), Traffic control and management (4 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Automotive Engineering (219 citations), Control and Systems Engineering (234 citations), Computer Vision and Pattern Recognition (102 citations), Safety, Risk, Reliability and Quality (31 citations) and Civil and Structural Engineering (69 citations). Mohammad Rokonuzzaman has collaborated with scholars based in Australia, Bangladesh and Canada. Frequent co-authors include Saeid Nahavandi, Navid Mohajer, Shady Mohamed, M. Shafiqul Islam, Darius Nahavandi, Toshinori Sakai, A S M Monjurul Hasan, Patrik Thollander, Syed Moshfeq Salaken and Md. Ashraful Hoque. Their work appears in journals such as IEEE Access, Ocean Engineering, Internet of Things, International Journal of Geomechanics and IEEE Transactions on Vehicular Technology.

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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