Utsav Drolia
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Priya NarasimhanRajeev GandhiJiaqi TanKatherine GuoRolando MartinsRahul MangharamYash Vardhan PantMadhur Behl
- Topics
- IoT and Edge/Fog Computing (5 papers)Advanced Malware Detection Techniques (5 papers)Caching and Content Delivery (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- ACM Transactions on Embedded Computing SystemsInformation Processing in Sensor Networks
- Partner nations
- United StatesFinland
In The Last Decade
Utsav Drolia
18 papers receiving 294 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 226
- Computer Vision and Pattern Recognition 92
- Information Systems 87
- Electrical and Electronic Engineering 68
- Artificial Intelligence 57
Countries citing papers authored by Utsav Drolia
This map shows the geographic impact of Utsav Drolia'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 Utsav Drolia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utsav Drolia more than expected).
Fields of papers citing papers by Utsav Drolia
This network shows the impact of papers produced by Utsav Drolia. 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 Utsav Drolia. The network helps show where Utsav Drolia may publish in the future.
Co-authorship network of co-authors of Utsav Drolia
This figure shows the co-authorship network connecting the top 25 collaborators of Utsav Drolia. A scholar is included among the top collaborators of Utsav Drolia 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 Utsav Drolia. Utsav Drolia 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 | 109 | |
| 3 | 6 | |
| 4 | 28 | |
| 5 | PCFIRE: Towards provable preventative Control-Flow Integrity enforcement for realistic embedded software | 3 |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 88 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Demo abstract: AutoPlug — An automotive test-bed for ECU testing, validation and verification | 3 |
| 18 | 17 |
About Utsav Drolia
Utsav Drolia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Advanced Malware Detection Techniques (5 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Computer Vision and Pattern Recognition (92 citations) and Information Systems (87 citations). Utsav Drolia has collaborated with scholars based in United States and Finland. Frequent co-authors include Priya Narasimhan, Rajeev Gandhi, Jiaqi Tan, Katherine Guo, Rolando Martins, Rahul Mangharam, Yash Vardhan Pant, Madhur Behl, Kunal Mankodiya and Zhenyan Wang. Their work appears in journals such as ACM Transactions on Embedded Computing Systems and Information Processing in Sensor Networks.
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.