Shruti Bhosale

4.0k total citations
12 papers, 59 citations indexed

About

Shruti Bhosale is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Shruti Bhosale has authored 12 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Communication. Recurrent topics in Shruti Bhosale's work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (5 papers). Shruti Bhosale is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers) and Multimodal Machine Learning Applications (5 papers). Shruti Bhosale collaborates with scholars based in United States, Israel and Singapore. Shruti Bhosale's co-authors include Mikel Artetxe, Vedanuj Goswami, James H. Cross, Raymond J. Mooney, Christos Baziotis, Maha Elbayad, Angela Fan, Dheeru Dua, Angela Fan and James Cross and has published in prestigious 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.

In The Last Decade

Shruti Bhosale

10 papers receiving 50 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shruti Bhosale United States	5	53	14	6	3	2	12	59
Siamak Shakeri United States	2	53 1.0×	23 1.6×	6 1.0×		2 1.0×	4	55
Hady Elsahar South Korea	2	55 1.0×	14 1.0×	8 1.3×		2 1.0×	3	60
Sushant Prakash United States	2	55 1.0×	7 0.5×	8 1.3×	2 0.7×		2	61
Zhangyue Yin China	4	44 0.8×	11 0.8×	5 0.8×		2 1.0×	13	60
Kelechi Ogueji Canada	3	69 1.3×	9 0.6×	6 1.0×	1 0.3×	1 0.5×	5	77
Mercedes García-Martínez Denmark	6	81 1.5×	22 1.6×	12 2.0×	2 0.7×		11	88
Livio Baldini Soares United States	3	65 1.2×	13 0.9×	5 0.8×	1 0.3×		8	67
Elena Kirshanova Russia	4	33 0.6×	8 0.6×	8 1.3×		3 1.5×	7	34
Nikola Momchev United States	3	36 0.7×	14 1.0×	4 0.7×			5	38
Massih-Réza Amini France	5	25 0.5×	8 0.6×	9 1.5×	2 0.7×	3 1.5×	6	40

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Ardalani, Newsha, Shruti Bhosale, Haiyang Huang, et al.. (2024). Toward Efficient Inference for Mixture of Experts. 84033–84059.

2.

Artetxe, Mikel, Vedanuj Goswami, Shruti Bhosale, Angela Fan, & Luke Zettlemoyer. (2023). Revisiting Machine Translation for Cross-lingual Classification. 6489–6499. 7 indexed citations

3.

Elbayad, Maha, Anna Sun, & Shruti Bhosale. (2023). Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. 14237–14253. 3 indexed citations

4.

Shaham, Uri, Maha Elbayad, Vedanuj Goswami, Omer Levy, & Shruti Bhosale. (2023). Causes and Cures for Interference in Multilingual Translation. 15849–15863. 3 indexed citations

5.

Dua, Dheeru, Shruti Bhosale, Vedanuj Goswami, et al.. (2022). Tricks for Training Sparse Translation Models. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3340–3345. 9 indexed citations

6.

Baziotis, Christos, Mikel Artetxe, James H. Cross, & Shruti Bhosale. (2022). Multilingual Machine Translation with Hyper-Adapters. 1170–1185. 13 indexed citations

7.

Koehn, Philipp, et al.. (2022). Data Selection Curriculum for Neural Machine Translation. 1569–1582. 3 indexed citations

8.

Fan, Angela, Shruti Bhosale, Holger Schwenk, et al.. (2021). Beyond English-Centric Multilingual Machine Translation. Journal of Machine Learning Research. 22(107). 1–48. 11 indexed citations

9.

Shetty, Vinutha, et al.. (2021). Why do Individuals Refuse or Stop Using Low Vision Devices? A Cross-Sectional Study. 6(3).

10.

Bhosale, Shruti, et al.. (2020). Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling. Empirical Methods in Natural Language Processing. 584–593. 1 indexed citations

11.

Patil, Rahul, et al.. (2014). Data Storage in Secured Multi-Cloud Storage in Cloud Computing. 1 indexed citations

12.

Bhosale, Shruti, et al.. (2013). Detecting Promotional Content in Wikipedia. 1851–1857. 8 indexed citations

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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