Raghav Garg
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Tzahi Cohen‐KarniFlavia VitaleSahil K. RastogiNoel T. NuhferVincent MeunierMichael LamparskiHasnain HafizVenkatasubramanian Viswanathan
- Topics
- Neuroscience and Neural Engineering (14 papers)Advanced Sensor and Energy Harvesting Materials (8 papers)Graphene research and applications (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrochemistryRenewable Energy, Sustainability and the Environment
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Raghav Garg
41 papers receiving 897 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Biomedical Engineering 357
- Electrical and Electronic Engineering 337
- Cellular and Molecular Neuroscience 327
- Materials Chemistry 309
- Renewable Energy, Sustainability and the Environment 153
Countries citing papers authored by Raghav Garg
This map shows the geographic impact of Raghav Garg'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 Raghav Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghav Garg more than expected).
Fields of papers citing papers by Raghav Garg
This network shows the impact of papers produced by Raghav Garg. 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 Raghav Garg. The network helps show where Raghav Garg may publish in the future.
Co-authorship network of co-authors of Raghav Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Raghav Garg. A scholar is included among the top collaborators of Raghav Garg 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 Raghav Garg. Raghav Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bio-inspired electronics: Soft, biohybrid, and “living” neural interfacesbreakdown → | 41 |
| 2 | 12 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 36 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 47 | |
| 15 | 148 | |
| 16 | 65 | |
| 17 | 8 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 1 |
About Raghav Garg
Raghav Garg is a scholar working on Cellular and Molecular Neuroscience, Materials Chemistry and Biomedical Engineering, having authored 45 papers that have together received 907 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (14 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Graphene research and applications (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (327 citations), Electrochemistry (67 citations) and Renewable Energy, Sustainability and the Environment (153 citations). Raghav Garg has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tzahi Cohen‐Karni, Flavia Vitale, Sahil K. Rastogi, Noel T. Nuhfer, Vincent Meunier, Michael Lamparski, Hasnain Hafiz, Venkatasubramanian Viswanathan, Devora Cohen-Karni and Dilip Krishnamurthy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.
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.