Ali Rohan

948 citations
28 papers · 645 · h-index 16

Impact in

Papers in

Ali Rohan

24 papers receiving 618 citations

Peers

Ali Rohan
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 234
  • Control and Systems Engineering 186
  • Aerospace Engineering 194
  • Neurology 30
  • Automotive Engineering 44
Replace Rawal Khirodkar with:
Rawal Khirodkar United States
Xibin Song China
Guoquan Li China
Ákos Odry Hungary
Yuxiang Yang China
Chenyang Li China
Jianmin Ji China
Abdulwahab Alazeb Saudi Arabia
Jose Martin Z. Maningo Philippines
Iram Noreen Pakistan
Ali Rohan relative to Rawal Khirodkar United States Rawal Khirodkar's profile →
Citations per field
00.5×10×20×29.3×
Rawal Khirodkar · 1×
Citations per year

Countries citing papers authored by Ali Rohan

Since Specialization
Citations

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

Fields of papers citing papers by Ali Rohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ali Rohan, 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 Ali Rohan Line = papers co-authored together Ali Rohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 201957
3 202347
4 201844
5 201844
6 202041
7 202439
8 201838
9 202037
10 201834
11 201930
12 201819
13 202019
14 202418
15 202315
16 201615
17 201814
18 202211
19 20229
20 20187

About Ali Rohan

Ali Rohan is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 28 papers that have together received 645 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (6 papers), Fault Detection and Control Systems (5 papers), Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Advanced Control Systems Design (3 papers), Fuzzy Logic and Control Systems (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Control and Systems Engineering (186 citations), Aerospace Engineering (194 citations), Neurology (30 citations) and Automotive Engineering (44 citations). Ali Rohan has collaborated with scholars based in South Korea, United Kingdom and Finland. Frequent co-authors include Mohammed Rabah, Sung-Ho Kim, Muhammad Talha, Furqan Asghar, Md Junayed Hasan, Sung Ho Kim, Sherif A. S. Mohamed, Heung Soo Kim, Izaz Raouf and Kanghyun Nam. Their work appears in journals such as IEEE Access, Sensors, Engineering Applications of Artificial Intelligence, Computers and Electronics in Agriculture and Arabian Journal for Science and Engineering.

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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