Pranav Shetty

718 total citations
16 papers, 462 citations indexed

About

Pranav Shetty is a scholar working on Artificial Intelligence, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Pranav Shetty has authored 16 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Materials Chemistry and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Pranav Shetty's work include Topic Modeling (4 papers), Machine Learning in Materials Science (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Pranav Shetty is often cited by papers focused on Topic Modeling (4 papers), Machine Learning in Materials Science (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Pranav Shetty collaborates with scholars based in United States, India and United Arab Emirates. Pranav Shetty's co-authors include Rampi Ramprasad, Lihua Chen, Deepak Kamal, Tran Doan Huan, Rohit Batra, Shruti Venkatram, Anand Chandrasekaran, Chiho Kim, Rishi Gurnani and Arunkumar Chitteth Rajan and has published in prestigious journals such as Journal of Applied Physics, ACS Applied Materials & Interfaces and Journal of Chemical Information and Modeling.

In The Last Decade

Pranav Shetty

14 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pranav Shetty United States	10	280	103	91	84	80	16	462
Jiapeng Li China	11	201 0.7×	69 0.7×	85 0.9×	173 2.1×	171 2.1×	30	659
Hermann Tribukait Switzerland	5	461 1.6×	90 0.9×	41 0.5×	223 2.7×	137 1.7×	6	715
G. Lambard Japan	9	395 1.4×	143 1.4×	31 0.3×	129 1.5×	75 0.9×	16	624
Christopher Kuenneth United States	8	275 1.0×	101 1.0×	16 0.2×	85 1.0×	79 1.0×	10	387
Cher Tian Ser Canada	4	288 1.0×	88 0.9×	30 0.3×	121 1.4×	91 1.1×	4	479
Yixuan Qiao China	9	142 0.5×	74 0.7×	46 0.5×	89 1.1×	101 1.3×	19	368
Zach Jensen United States	8	481 1.7×	85 0.8×	69 0.8×	87 1.0×	51 0.6×	9	630
Luca Torresi Germany	4	299 1.1×	150 1.5×	64 0.7×	94 1.1×	51 0.6×	5	481
Daniel Nurkowski United Kingdom	13	190 0.7×	25 0.2×	76 0.8×	50 0.6×	87 1.1×	19	433
Michael Krein United States	8	302 1.1×	152 1.5×	29 0.3×	65 0.8×	146 1.8×	19	659

Countries citing papers authored by Pranav Shetty

Since Specialization

Citations

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

Fields of papers citing papers by Pranav Shetty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Shetty

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

All Works

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16 of 16 papers shown

Shetty, Pranav, et al.. (2025). Investigating the synergistic effect of CuO and PANI-CuO composite for high-performance supercapacitor studies. Next Materials. 9. 101287–101287.

Shetty, Pranav, et al.. (2024). Electrochemical performance of 3D CuO nanoflowers and g-C3N4/CuO/PAN composite synthesized by thermal decomposition method. Diamond and Related Materials. 151. 111782–111782. 5 indexed citations

Shetty, Pranav, et al.. (2024). Data extraction from polymer literature using large language models. Communications Materials. 5(1). 12 indexed citations

Shetty, Pranav, et al.. (2024). “What is the value of templates?” Rethinking Document Information Extraction Datasets for LLMs. 13162–13185. 2 indexed citations

Zhuang, Yuchen, et al.. (2024). POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature. 2370–2385. 3 indexed citations

Shetty, Pranav, et al.. (2023). A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing. npj Computational Materials. 9(1). 52–52. 81 indexed citations

Zhang, Rongzhi, Yue Yu, Pranav Shetty, Le Song, & Chao Zhang. (2022). Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 745–758. 19 indexed citations

Shetty, Pranav, et al.. (2021). Detection of brain tumor using CNN and ML. International Journal of Applied Research. 7(5). 308–313. 1 indexed citations

Shetty, Pranav, et al.. (2021). BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition. 6178–6190. 14 indexed citations

10.

Shetty, Pranav, et al.. (2021). A survey on detection of brain tumor using computer vision and machine learning technique. International Journal of Applied Research. 7(3). 84–88. 1 indexed citations

11.

Wu, Chao, Lihua Chen, Ajinkya A. Deshmukh, et al.. (2021). Dielectric Polymers Tolerant to Electric Field and Temperature Extremes: Integration of Phenomenology, Informatics, and Experimental Validation. ACS Applied Materials & Interfaces. 13(45). 53416–53424. 30 indexed citations

12.

Shetty, Pranav & Rampi Ramprasad. (2021). Machine-Guided Polymer Knowledge Extraction Using Natural Language Processing: The Example of Named Entity Normalization. Journal of Chemical Information and Modeling. 61(11). 5377–5385. 20 indexed citations

13.

Shetty, Pranav, et al.. (2021). Hierarchical Clustering: A Survey. International Journal of Applied Research. 7(4). 178–181. 22 indexed citations

14.

Huan, Tran Doan, Chiho Kim, Lihua Chen, et al.. (2020). Machine-learning predictions of polymer properties with Polymer Genome. Journal of Applied Physics. 128(17). 182 indexed citations

15.

Shetty, Pranav & Rampi Ramprasad. (2020). Automated knowledge extraction from polymer literature using natural language processing. iScience. 24(1). 101922–101922. 48 indexed citations

16.

Haddad, Kelsey, Ahmed A. Abokifa, Shalinee Kavadiya, et al.. (2016). Growth of single crystal, oriented SnO₂nanocolumn arrays by aerosol chemical vapour deposition. CrystEngComm. 18(39). 7544–7553. 22 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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