Sonal Gupta

3.7k citations
108 papers · 2.4k · h-index 28

Impact in

Papers in

Sonal Gupta

104 papers receiving 2.2k citations

Peers

Sonal Gupta
Comparison fields: 5 of 162
  • Artificial Intelligence 887
  • Polymers and Plastics 378
  • Pharmaceutical Science 134
  • Bioengineering 86
  • Renewable Energy, Sustainability and the Environment 199
Replace Wei‐Yu Lin with:
Wei‐Yu Lin Taiwan
Liming Hu China
Nidhi Mishra India
Seong Hoon Jeong South Korea
Weiwei Zhao China
Junyu Chen China
Yulong Zhang China
Deepali Jain India
Rajinder Singh India
Donghua Liu China
Sonal Gupta relative to Wei‐Yu Lin Taiwan Wei‐Yu Lin's profile →
Citations per field
00.5×6.4×
Wei‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Sonal Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sonal Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sonal Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sonal Gupta Line = papers co-authored together Sonal Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016192
2 2019148
3 2013122
4 2021108
5 201899
6 201298
7 201387
8 201579
9 201477
10 202174
11
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
201367
12
Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers
201155
13 200648
14 202246
15 202039
16 200737
17 201937
18 201337
19 202236
20 201436

About Sonal Gupta

Sonal Gupta is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Conducting polymers and applications (30 papers), Topic Modeling (21 papers), Organic Electronics and Photovoltaics (19 papers), Natural Language Processing Techniques (19 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Multimodal Machine Learning Applications (9 papers), TiO2 Photocatalysis and Solar Cells (8 papers) and Thin-Film Transistor Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (887 citations), Polymers and Plastics (378 citations), Pharmaceutical Science (134 citations), Bioengineering (86 citations) and Renewable Energy, Sustainability and the Environment (199 citations). Sonal Gupta has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Christopher D. Manning, Rushin Shah, Shweta Dang, Mike Lewis, Jeffrey Heer, D. K. Aswal, Xilun Chen, Javed Ali, Monika Singh and Ashok Ranjan. Their work appears in journals such as ACS Omega, ACS Applied Polymer Materials, Organic Electronics, Advanced Materials Interfaces and Separation Science and Technology.

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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