Riyaz Ahmad Bhat
- Plant Science top 1%
- Molecular Biology top 10%
- Cell Biology top 5%
- Artificial Intelligence top 10%
- Biochemistry top 10%
- Co-authors
- Ralph PanstrugaPaul Schulze‐LefertJane E. ParkerMarcel WiermerVolker LipkaElmon SchmelzerAdriana CabralNieves Medina‐Escobar
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (18 papers)Plant-Microbe Interactions and Immunity (5 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Riyaz Ahmad Bhat
42 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Plant Science 1.6k
- Molecular Biology 900
- Cell Biology 267
- Artificial Intelligence 130
- Biochemistry 57
Countries citing papers authored by Riyaz Ahmad Bhat
This map shows the geographic impact of Riyaz Ahmad Bhat'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 Riyaz Ahmad Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riyaz Ahmad Bhat more than expected).
Fields of papers citing papers by Riyaz Ahmad Bhat
This network shows the impact of papers produced by Riyaz Ahmad Bhat. 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 Riyaz Ahmad Bhat. The network helps show where Riyaz Ahmad Bhat may publish in the future.
Co-authorship network of co-authors of Riyaz Ahmad Bhat
This figure shows the co-authorship network connecting the top 25 collaborators of Riyaz Ahmad Bhat. A scholar is included among the top collaborators of Riyaz Ahmad Bhat 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 Riyaz Ahmad Bhat. Riyaz Ahmad Bhat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | Socio-economic and Political Conditions of Gujjar and Bakerwals of Jammu and Kashmir | 0 |
| 8 | 8 | |
| 9 | Code Mixed Entity Extraction in Indian Languages using Neural Networks. | 5 |
| 10 | A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu | 3 |
| 11 | A Proposition Bank of Urdu | 1 |
| 12 | 4 | |
| 13 | Towards building a Kashmiri Treebank: Setting up the Annotation Pipeline | 1 |
| 14 | 5 | |
| 15 | Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing | 4 |
| 16 | Animacy Annotation in the Hindi Treebank | 3 |
| 17 | 6 | |
| 18 | 8 | |
| 19 | 89 | |
| 20 | 33 |
About Riyaz Ahmad Bhat
Riyaz Ahmad Bhat is a scholar working on Structural Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Plant-Microbe Interactions and Immunity (5 papers). The work is most often cited by research in Plant Science (1.6k citations), Cell Biology (267 citations) and Molecular Biology (900 citations). Riyaz Ahmad Bhat has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Ralph Panstruga, Paul Schulze‐Lefert, Jane E. Parker, Marcel Wiermer, Volker Lipka, Elmon Schmelzer, Adriana Cabral, Nieves Medina‐Escobar, Bart J. Feys and Lisa J. Moisan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.