Ashish V. Tendulkar
- Molecular Biology
- Artificial Intelligence
- Materials Chemistry
- Computational Theory and Mathematics
- Information Systems
- Co-authors
- Pramod P. WangikarSunita SarawagiMartin KrallingerAnand A. JoshiAlfonso ValenciaBalaraman RavindranFlorian LeitnerSandeep Srivathsan
- Topics
- Machine Learning in Bioinformatics (8 papers)Protein Structure and Dynamics (8 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Ashish V. Tendulkar
25 papers receiving 311 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 230
- Artificial Intelligence 72
- Materials Chemistry 54
- Computational Theory and Mathematics 33
- Information Systems 25
Countries citing papers authored by Ashish V. Tendulkar
This map shows the geographic impact of Ashish V. Tendulkar'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 Ashish V. Tendulkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish V. Tendulkar more than expected).
Fields of papers citing papers by Ashish V. Tendulkar
This network shows the impact of papers produced by Ashish V. Tendulkar. 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 Ashish V. Tendulkar. The network helps show where Ashish V. Tendulkar may publish in the future.
Co-authorship network of co-authors of Ashish V. Tendulkar
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish V. Tendulkar. A scholar is included among the top collaborators of Ashish V. Tendulkar 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 Ashish V. Tendulkar. Ashish V. Tendulkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Learning to Select Exogenous Events for Marked Temporal Point Process | 1 |
| 2 | Parallels between Linguistics and Biology | 1 |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 47 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 31 | |
| 16 | 82 | |
| 17 | 16 | |
| 18 | Reaction of mustard cultivars against white rust. | 1 |
| 19 | Effect of foliar application of DAP and NAA on yield of irrigated cotton. | 1 |
| 20 | Effect of foliar application of diammonium phosphate and napthalene acetic acid on seed cotton yield and fibre properties of Gossypium hirsutum L. cotton. | 3 |
About Ashish V. Tendulkar
Ashish V. Tendulkar is a scholar working on Toxicology, Molecular Biology and Virology, having authored 27 papers that have together received 318 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Protein Structure and Dynamics (8 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Molecular Biology (230 citations), Artificial Intelligence (72 citations) and Computational Theory and Mathematics (33 citations). Ashish V. Tendulkar has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Pramod P. Wangikar, Sunita Sarawagi, Martin Krallinger, Anand A. Joshi, Alfonso Valencia, Balaraman Ravindran, Florian Leitner, Sandeep Srivathsan, S. Shivashankar and David Salgado. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.