Nihal V. Nayak
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Speech and dialogue systems 1
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- Online Learning and Analytics 1
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- Cholinesterase and Neurodegenerative Diseases 1
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- Software Reliability and Analysis Research 1
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- Biomedical Text Mining and Ontologies 1
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- Computational Drug Discovery Methods 1
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Nihal V. Nayak
3 papers receiving 7 citations
Peers
Comparison fields: 5 of 7
- Applied Psychology 1
- Artificial Intelligence 6
- Computer Science Applications 1
- Information Systems 2
- Management Science and Operations Research 1
Countries citing papers authored by Nihal V. Nayak
This map shows the geographic impact of Nihal V. Nayak'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 Nihal V. Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihal V. Nayak more than expected).
Fields of papers citing papers by Nihal V. Nayak
This network shows the impact of papers produced by Nihal V. Nayak. 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 Nihal V. Nayak. The network helps show where Nihal V. Nayak may publish in the future.
Co-authorship network
The 4 scholars most cited alongside Nihal V. Nayak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2018 | 2 | |
| 4 | 2017 | 1 |
About Nihal V. Nayak
Nihal V. Nayak is a scholar working on Software, Computer Science Applications and Computational Theory and Mathematics, having authored 4 papers that have together received 8 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Online Learning and Analytics (1 paper), Speech and dialogue systems (1 paper), Software Reliability and Analysis Research (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Applied Psychology (1 citation), Artificial Intelligence (6 citations) and Computer Science Applications (1 citation). Nihal V. Nayak has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Stephen H. Bach, Ritambhara Singh, H. S. Jamadagni and Carsten Eickhoff.
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.