Mohan Krishnan
Impact in
- Architecture top 1%
- Engineering Education and Pedagogy
- Media Technology top 5%
- Experimental Learning in Engineering
- Engineering Education and Curriculum Development
Papers in
-
- Robotic Path Planning Algorithms 21
-
- Robotics and Sensor-Based Localization 12
- Co-authors
- Mark Paulik (21 shared papers)Shuvra Das (6 shared papers)Chaomin Luo (11 shared papers)Simon X. Yang (3 shared papers)Gregor Klančar (1 shared paper)Xingzhong Zhang (1 shared paper)Bo Cui (1 shared paper)Gene Eu Jan (2 shared papers)
- Journals
- IEEE Transactions on Education (3 papers)IEEE Access (2 papers)IEEE Internet of Things Journal (1 paper)Journal of Intelligent & Robotic Systems (1 paper)Sensors (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Mohan Krishnan
38 papers receiving 285 citations
Peers
Comparison fields: 5 of 50
- Architecture 47
- Media Technology 98
- Computer Vision and Pattern Recognition 105
- Computer Science Applications 21
- Mechanical Engineering 102
Countries citing papers authored by Mohan Krishnan
This map shows the geographic impact of Mohan Krishnan'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 Mohan Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Krishnan more than expected).
Fields of papers citing papers by Mohan Krishnan
This network shows the impact of papers produced by Mohan Krishnan. 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 Mohan Krishnan. The network helps show where Mohan Krishnan may publish in the future.
Co-authors
The 13 scholars most cited alongside Mohan Krishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 43 | |
| 2 | 2009 | 25 | |
| 3 | 2009 | 25 | |
| 4 | Pitfalls in Multithreading SVR4 STREAMS and Other Weightless Processes. | 1993 | 24 |
| 5 | 2022 | 20 | |
| 6 | 2009 | 19 | |
| 7 | 2003 | 19 | |
| 8 | 2014 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2002 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2008 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2006 | 5 | |
| 19 | 2007 | 4 | |
| 20 | 2014 | 4 |
About Mohan Krishnan
Mohan Krishnan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering and Automotive Engineering, having authored 38 papers that have together received 312 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (12 papers), Control and Dynamics of Mobile Robots (8 papers), Mechatronics Education and Applications (7 papers), Experimental Learning in Engineering (7 papers), Autonomous Vehicle Technology and Safety (7 papers), Vehicle Dynamics and Control Systems (3 papers) and Engineering Education and Pedagogy (3 papers). The work is most often cited by research in Architecture (47 citations), Media Technology (98 citations), Computer Vision and Pattern Recognition (105 citations), Computer Science Applications (21 citations) and Mechanical Engineering (102 citations). Mohan Krishnan has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Mark Paulik, Shuvra Das, Chaomin Luo, Simon X. Yang, Gregor Klančar, Xingzhong Zhang, Bo Cui, Gene Eu Jan, Yue Chen and Yue Chen. Their work appears in journals such as IEEE Transactions on Education, IEEE Access, IEEE Internet of Things Journal, Journal of Intelligent & Robotic Systems and Sensors.
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.