Venkat Mattela
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Materials Chemistry
- Polymers and Plastics
- Atomic and Molecular Physics, and Optics
- Co-authors
- Parikshit SahatiyaVivek AdepuSushmee BadhulikaChandra Sekhar Reddy KolliSushmitha VeeralingamAmit AcharyyaSteve JonesM. Saif Islam
- Topics
- Advanced Sensor and Energy Harvesting Materials (11 papers)MXene and MAX Phase Materials (10 papers)Advanced Memory and Neural Computing (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaNanotechnologyJournal of Materials Chemistry C
In The Last Decade
Venkat Mattela
26 papers receiving 502 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 339
- Biomedical Engineering 254
- Materials Chemistry 249
- Polymers and Plastics 92
- Atomic and Molecular Physics, and Optics 44
Countries citing papers authored by Venkat Mattela
This map shows the geographic impact of Venkat Mattela'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 Venkat Mattela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkat Mattela more than expected).
Fields of papers citing papers by Venkat Mattela
This network shows the impact of papers produced by Venkat Mattela. 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 Venkat Mattela. The network helps show where Venkat Mattela may publish in the future.
Co-authorship network of co-authors of Venkat Mattela
This figure shows the co-authorship network connecting the top 25 collaborators of Venkat Mattela. A scholar is included among the top collaborators of Venkat Mattela 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 Venkat Mattela. Venkat Mattela 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 | 24 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 58 | |
| 17 | 37 | |
| 18 | 95 | |
| 19 | 15 | |
| 20 | 2 |
About Venkat Mattela
Venkat Mattela is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry, having authored 27 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), MXene and MAX Phase Materials (10 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Polymers and Plastics (92 citations), Electrical and Electronic Engineering (339 citations) and Biomedical Engineering (254 citations). Venkat Mattela has collaborated with scholars based in India, France and Austria. Frequent co-authors include Parikshit Sahatiya, Vivek Adepu, Sushmee Badhulika, Chandra Sekhar Reddy Kolli, Sushmitha Veeralingam, Amit Acharyya, Steve Jones, M. Saif Islam, Sparsh Mittal and Subhradeep Pal. Their work appears in journals such as SHILAP Revista de lepidopterología, Nanotechnology and Journal of Materials Chemistry C.
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.