Akshar Bharati
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Language and Linguistics top 10%
- Information Systems
- Computational Theory and Mathematics
- Co-authors
- Rajeev SangalDipti Misra SharmaSamar HusainPrashanth MannemVineet YadavPavan KumarAnil Kumar SinghPrashanth Reddy
- Topics
- Natural Language Processing Techniques (17 papers)Topic Modeling (9 papers)semigroups and automata theory (5 papers)
- Journals
- Language Resources and EvaluationSadhanaMedical Entomology and Zoology
- Partner nations
- India
In The Last Decade
Akshar Bharati
19 papers receiving 279 citations
Peers
Comparison fields: 5 of 26
- Artificial Intelligence 337
- Computer Vision and Pattern Recognition 60
- Language and Linguistics 44
- Information Systems 20
- Computational Theory and Mathematics 16
Countries citing papers authored by Akshar Bharati
This map shows the geographic impact of Akshar Bharati'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 Akshar Bharati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshar Bharati more than expected).
Fields of papers citing papers by Akshar Bharati
This network shows the impact of papers produced by Akshar Bharati. 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 Akshar Bharati. The network helps show where Akshar Bharati may publish in the future.
Co-authorship network of co-authors of Akshar Bharati
This figure shows the co-authorship network connecting the top 25 collaborators of Akshar Bharati. A scholar is included among the top collaborators of Akshar Bharati 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 Akshar Bharati. Akshar Bharati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Applying Sanskrit Concepts for Reordering in MT | 2 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | Constraint Based Hybrid Approach to Parsing Indian Languages | 9 |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 17 | |
| 10 | 23 | |
| 11 | Sanskrit and Computational Linguistics | 6 |
| 12 | 6 | |
| 13 | 7 | |
| 14 | Unsupervised Improvement of Morphological Analyzer for Inflectionally Rich Languages. | 10 |
| 15 | 4 | |
| 16 | Natural language processing : a Paninian perspective | 169 |
| 17 | 9 | |
| 18 | 51 | |
| 19 | 15 |
About Akshar Bharati
Akshar Bharati is a scholar working on Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics, having authored 19 papers that have together received 353 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (9 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Artificial Intelligence (337 citations), Language and Linguistics (44 citations) and Computer Vision and Pattern Recognition (60 citations). Akshar Bharati has collaborated with scholars based in India. Frequent co-authors include Rajeev Sangal, Dipti Misra Sharma, Samar Husain, Prashanth Mannem, Vineet Yadav, Pavan Kumar, Anil Kumar Singh, Prashanth Reddy and A. Ramalingam. Their work appears in journals such as Language Resources and Evaluation, Sadhana and Medical Entomology and Zoology.
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.