Arun Khosla
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Ocean Engineering top 5%
- Co-authors
- Indu SainiDilbag SinghMamta KhoslaParulpreet SinghRajesh SinglaJ.S. SainiKiran AhujaK.K. Aggarwal
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Cognitive Radio Networks and Spectrum Sensing (10 papers)Advanced Image Fusion Techniques (9 papers)
- Journals
- Applied Soft ComputingFuture Generation Computer SystemsJournal of Network and Computer Applications
- Partner nations
- India
In The Last Decade
Arun Khosla
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Electrical and Electronic Engineering 438
- Computer Networks and Communications 324
- Cognitive Neuroscience 275
- Cardiology and Cardiovascular Medicine 227
- Ocean Engineering 170
Countries citing papers authored by Arun Khosla
This map shows the geographic impact of Arun Khosla'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 Arun Khosla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Khosla more than expected).
Fields of papers citing papers by Arun Khosla
This network shows the impact of papers produced by Arun Khosla. 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 Arun Khosla. The network helps show where Arun Khosla may publish in the future.
Co-authorship network of co-authors of Arun Khosla
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Khosla. A scholar is included among the top collaborators of Arun Khosla 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 Arun Khosla. Arun Khosla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Salient Region Guided Deep Network for Violence Detection in Surveillance Systems | 1 |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 29 | |
| 9 | 9 | |
| 10 | 47 | |
| 11 | Classification of Homogeneous and Heterogeneous Fog for Vision Enhancement | 1 |
| 12 | 33 | |
| 13 | 21 | |
| 14 | Low Power Bus Encoding Techniques for Memory Testing | 1 |
| 15 | Implementation of BIST Capability using LFSR Techniques in UART | 5 |
| 16 | 249 | |
| 17 | 20 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 23 |
About Arun Khosla
Arun Khosla is a scholar working on Human-Computer Interaction, Media Technology and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Cognitive Radio Networks and Spectrum Sensing (10 papers) and Advanced Image Fusion Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Cognitive Neuroscience (275 citations) and Ocean Engineering (170 citations). Arun Khosla has collaborated with scholars based in India. Frequent co-authors include Indu Saini, Dilbag Singh, Mamta Khosla, Parulpreet Singh, Rajesh Singla, J.S. Saini, Kiran Ahuja, K.K. Aggarwal, Satvir Singh and Prabhjot Kaur. Their work appears in journals such as Applied Soft Computing, Future Generation Computer Systems and Journal of Network and Computer Applications.
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.