Shruti Bhosale

4.0k citations
12 papers · 59 indexed · h-index 5
Topics
Natural Language Processing Techniques (9 papers)Topic Modeling (7 papers)Multimodal Machine Learning Applications (5 papers)
Journals
Journal of Machine Learning ResearchEmpirical Methods in Natural Language ProcessingProceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

In The Last Decade

Shruti Bhosale

10 papers receiving 50 citations

Peers

Shruti Bhosale
Comparison fields: 5 of 14
  • Artificial Intelligence 53
  • Computer Vision and Pattern Recognition 14
  • Information Systems 6
  • Communication 3
  • Computer Networks and Communications 2
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Mercedes García-Martínez Denmark
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Alberto Poncelas Ireland
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Citations per field
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Sushant Prakash · 1×
Citations per year

Countries citing papers authored by Shruti Bhosale

Since Specialization
Citations

This map shows the geographic impact of Shruti Bhosale'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 Shruti Bhosale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruti Bhosale more than expected).

Fields of papers citing papers by Shruti Bhosale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shruti Bhosale. 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 Shruti Bhosale. The network helps show where Shruti Bhosale may publish in the future.

Co-authorship network of co-authors of Shruti Bhosale

This figure shows the co-authorship network connecting the top 25 collaborators of Shruti Bhosale. A scholar is included among the top collaborators of Shruti Bhosale 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 Shruti Bhosale. Shruti Bhosale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 3
3 3
4 7
5 13
6 9
7 3
8
Beyond English-Centric Multilingual Machine Translation
11
9 0
10 1
11
Data Storage in Secured Multi-Cloud Storage in Cloud Computing
1
12 8

About Shruti Bhosale

Shruti Bhosale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication, having authored 12 papers that have together received 59 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (53 citations), Computer Vision and Pattern Recognition (14 citations) and Communication (3 citations). Shruti Bhosale has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Mikel Artetxe, James H. Cross, Vedanuj Goswami, Raymond J. Mooney, Christos Baziotis, Maha Elbayad, Angela Fan, Mike Lewis, Angela Fan and James Cross. Their work appears in journals such as Journal of Machine Learning Research, Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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.

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