Varun Dogra

400 total citations
13 papers, 143 citations indexed

About

Varun Dogra is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Varun Dogra has authored 13 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Varun Dogra's work include Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (4 papers) and Stock Market Forecasting Methods (3 papers). Varun Dogra is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (4 papers) and Stock Market Forecasting Methods (3 papers). Varun Dogra collaborates with scholars based in India, Saudi Arabia and Malaysia. Varun Dogra's co-authors include Sahil Verma, Kavita Kavita, Muhammad Fazal Ijaz, Jana Shafi, Pushpita Chatterjee, Jaeyoung Choi, N. Z. Jhanjhi, Uttam Ghosh, Dac‐Nhuong Le and Aman Singh and has published in prestigious journals such as IEEE Access, Computational Intelligence and Neuroscience and Mathematics.

In The Last Decade

Varun Dogra

11 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varun Dogra India 6 78 29 21 9 8 13 143
Danuta Zakrzewska Poland 7 81 1.0× 38 1.3× 17 0.8× 11 1.2× 9 1.1× 16 164
Elias Zavitsanos Greece 7 100 1.3× 43 1.5× 15 0.7× 11 1.2× 15 1.9× 15 133
Anuj Mahajan India 5 63 0.8× 21 0.7× 35 1.7× 5 0.6× 6 0.8× 14 94
Li Du China 8 82 1.1× 16 0.6× 22 1.0× 3 0.3× 9 1.1× 28 158
Aleš Horák Czechia 8 112 1.4× 20 0.7× 12 0.6× 2 0.2× 5 0.6× 56 171
J. KANG South Korea 7 117 1.5× 43 1.5× 27 1.3× 3 0.3× 6 0.8× 15 244
Kaiyu Huang China 7 192 2.5× 18 0.6× 79 3.8× 12 1.3× 11 1.4× 28 270
Marco Cornolti Italy 6 174 2.2× 48 1.7× 47 2.2× 3 0.3× 7 0.9× 6 199
Ilia Stepin Spain 4 183 2.3× 8 0.3× 15 0.7× 2 0.2× 6 0.8× 6 216
Arie Ardiyanti Suryani Indonesia 7 156 2.0× 90 3.1× 11 0.5× 3 0.3× 14 1.8× 21 232

Countries citing papers authored by Varun Dogra

Since Specialization
Citations

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

Fields of papers citing papers by Varun Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Dogra

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

All Works

13 of 13 papers shown
1.
Dogra, Varun, et al.. (2025). Customer Experience in E-Commerce: A Systematic Review of Metrics, Models, and the Role of AI. IEEE Access. 13. 154422–154437.
2.
Dogra, Varun, Sahil Verma, Kavita Kavita, et al.. (2024). Shortcut Learning Explanations for Deep Natural Language Processing: A Survey on Dataset Biases. IEEE Access. 12. 26183–26195. 13 indexed citations
4.
Dogra, Varun, et al.. (2024). Aspect-Based Approaches for Measuring Customer Feedback in the E-Commerce Industry. 479–484. 1 indexed citations
5.
Dogra, Varun, et al.. (2024). DeepThyroid: Advanced Thyroid Cancer Severity Detection with CNN-Based Deep Learning. 1–6. 1 indexed citations
6.
7.
Dogra, Varun, et al.. (2023). A systematic review of NLP methods for Sentiment classification of Online News Articles. 1–9. 3 indexed citations
8.
9.
Dogra, Varun, et al.. (2022). NLP-Based Application for Analyzing Private and Public Banks Stocks Reaction to News Events in the Indian Stock Exchange. Systems. 10(6). 233–233. 11 indexed citations
10.
Dogra, Varun, Sahil Verma, Kavita Kavita, et al.. (2022). A Complete Process of Text Classification System Using State-of-the-Art NLP Models. Computational Intelligence and Neuroscience. 2022. 1–26. 65 indexed citations
11.
Dogra, Varun, Sahil Verma, Kavita Kavita, et al.. (2022). A Comparative Analysis of Machine Learning Models for Banking News Extraction by Multiclass Classification With Imbalanced Datasets of Financial News: Challenges and Solutions.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(3). 35–52. 21 indexed citations
12.
Dogra, Varun, Aman Singh, Sahil Verma, Abdullah Alharbi, & Wael Alosaimi. (2021). Event Study: Advanced Machine Learning and Statistical Technique for Analyzing Sustainability in Banking Stocks. Mathematics. 9(24). 3319–3319. 11 indexed citations
13.
Dogra, Varun. (2021). Banking news-events representation and classification with a novel hybrid model using DistilBERT and rule-based features. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(10). 3039–3054. 12 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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