Varun Aggarwal
- Plant Science
- Electrical and Electronic Engineering
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Co-authors
- Shashank SrikantDharmendra SaraswatAanis AhmadUna-May O’ReillyUǧur ÇamSelçuk KılınçManeesha GuptaLeon O. Chua
- Topics
- Evolutionary Algorithms and Applications (6 papers)Smart Agriculture and AI (5 papers)Analog and Mixed-Signal Circuit Design (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote SensingSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- United StatesIndiaHong Kong
In The Last Decade
Varun Aggarwal
30 papers receiving 529 citations
Peers
Comparison fields: 5 of 90
- Plant Science 162
- Electrical and Electronic Engineering 159
- Biomedical Engineering 112
- Artificial Intelligence 97
- Computer Science Applications 88
Countries citing papers authored by Varun Aggarwal
This map shows the geographic impact of Varun Aggarwal'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 Varun Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Aggarwal more than expected).
Fields of papers citing papers by Varun Aggarwal
This network shows the impact of papers produced by Varun Aggarwal. 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 Varun Aggarwal. The network helps show where Varun Aggarwal may publish in the future.
Co-authorship network of co-authors of Varun Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Varun Aggarwal. A scholar is included among the top collaborators of Varun Aggarwal 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 Varun Aggarwal. Varun Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | Grading emails and generating feedback. | 0 |
| 6 | 3 | |
| 7 | 36 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | 0 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | 9 | |
| 19 | 33 | |
| 20 | 27 |
About Varun Aggarwal
Varun Aggarwal is a scholar working on Software, Computer Science Applications and Artificial Intelligence, having authored 35 papers that have together received 578 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Smart Agriculture and AI (5 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Computer Science Applications (88 citations), Software (56 citations) and Plant Science (162 citations). Varun Aggarwal has collaborated with scholars based in United States, India and Hong Kong. Frequent co-authors include Shashank Srikant, Dharmendra Saraswat, Aanis Ahmad, Una-May O’Reilly, Uǧur Çam, Selçuk Kılınç, Maneesha Gupta, Leon O. Chua, Muriel Médard and Minkyu Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and SAE technical papers on CD-ROM/SAE technical paper series.
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.