Deepa Gupta

2.4k citations
163 papers · 1.8k · h-index 23

Impact in

    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Academic integrity and plagiarism

Papers in

    • Natural Language Processing Techniques 37
    • Topic Modeling 24
    • Sentiment Analysis and Opinion Mining 23
    • Speech Recognition and Synthesis 21
    • Academic integrity and plagiarism 14

Deepa Gupta

149 papers receiving 1.7k citations

Peers

Deepa Gupta
Comparison fields: 5 of 100
  • Artificial Intelligence 1k
  • Safety Research 222
  • Health Information Management 88
  • Information Systems 148
  • Signal Processing 42
Replace Yangzhou Du with:
Yangzhou Du China
Timo Speith Germany
Nikica Hlupić Croatia
Moninder Singh United States
Maurice van Keulen Netherlands
Daochen Zha United States
Emilio Serrano Spain
Jean-Paul Calbimonte Switzerland
Liang Yao China
Alper Kürşat Uysal Türkiye
Deepa Gupta relative to Yangzhou Du China Yangzhou Du's profile →
Citations per field
00.5×5×10.1×
Yangzhou Du · 1×
Citations per year

Countries citing papers authored by Deepa Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa 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 Deepa Gupta Line = papers co-authored together Deepa Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202298
2 201562
3 201651
4 202148
5 201647
6 201643
7 201842
8 201842
9 202042
10 201637
11 201436
12 202235
13 202332
14 201430
15 201630
16
Identification of divergence for English to Hindi EBMT
200328
17 200628
18 202028
19 202328
20 202328

About Deepa Gupta

Deepa Gupta is a scholar working on Artificial Intelligence, Safety Research, Signal Processing, Information Systems and Health Information Management, having authored 163 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (37 papers), Topic Modeling (24 papers), Sentiment Analysis and Opinion Mining (23 papers), Speech Recognition and Synthesis (21 papers), Academic integrity and plagiarism (14 papers), Artificial Intelligence in Healthcare (6 papers), Time Series Analysis and Forecasting (5 papers) and Information Retrieval and Search Behavior (5 papers). The work is most often cited by research in Artificial Intelligence (1k citations), Safety Research (222 citations), Health Information Management (88 citations), Information Systems (148 citations) and Signal Processing (42 citations). Deepa Gupta has collaborated with scholars based in India, Saudi Arabia and Switzerland. Frequent co-authors include Vani Kanjirangat, Manju Venugopalan, G Veena, Susmitha Vekkot, Tripty Singh, Tina Babu, Niladri Chatterjee, Mohammed Zakariah, Yousef Ajami Alotaibi and Amudha Joseph. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Scientific Reports, International Journal of Speech Technology and Journal of Intelligent & Fuzzy Systems.

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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