Chetna Singhal
Impact in
-
- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
-
- Image and Video Quality Assessment
Papers in
-
- Advanced MIMO Systems Optimization 19
- Advanced Wireless Network Optimization 15
-
- Cooperative Communication and Network Coding 10
- Co-authors
- Swades De (14 shared papers)Raja Datta (10 shared papers)Ramona Trestian (3 shared papers)Gabriel‐Miro Muntean (3 shared papers)Kumar Rahul (2 shared papers)Carla Fabiana Chiasserini (5 shared papers)Debarati Sen (3 shared papers)Nikhil Kumar (1 shared paper)
In The Last Decade
Chetna Singhal
60 papers receiving 433 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 247
- Computer Vision and Pattern Recognition 110
- Media Technology 46
- Signal Processing 52
- Electrical and Electronic Engineering 238
Countries citing papers authored by Chetna Singhal
This map shows the geographic impact of Chetna Singhal'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 Chetna Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chetna Singhal more than expected).
Fields of papers citing papers by Chetna Singhal
This network shows the impact of papers produced by Chetna Singhal. 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 Chetna Singhal. The network helps show where Chetna Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Chetna Singhal, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2013 | 39 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 19 | |
| 5 | 2016 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2016 | 7 |
About Chetna Singhal
Chetna Singhal is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering, having authored 67 papers that have together received 446 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (19 papers), Advanced MIMO Systems Optimization (19 papers), Video Coding and Compression Technologies (18 papers), Advanced Wireless Network Optimization (15 papers), Telecommunications and Broadcasting Technologies (10 papers), Cooperative Communication and Network Coding (10 papers), UAV Applications and Optimization (10 papers) and Multimedia Communication and Technology (9 papers). The work is most often cited by research in Computer Networks and Communications (247 citations), Computer Vision and Pattern Recognition (110 citations), Media Technology (46 citations), Signal Processing (52 citations) and Electrical and Electronic Engineering (238 citations). Chetna Singhal has collaborated with scholars based in India, Italy and Sweden. Frequent co-authors include Swades De, Raja Datta, Ramona Trestian, Gabriel‐Miro Muntean, Kumar Rahul, Carla Fabiana Chiasserini, Debarati Sen, Nikhil Kumar, Kjell Brunnström and Claudio Casetti. Their work appears in journals such as Computer Communications, IEEE Transactions on Mobile Computing, IEEE Access, IEEE Transactions on Vehicular Technology and Signal Processing Image Communication.
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.