Divya Aggarwal

539 total citations
30 papers, 335 citations indexed

About

Divya Aggarwal is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Divya Aggarwal has authored 30 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 8 papers in Management Science and Operations Research and 7 papers in Finance. Recurrent topics in Divya Aggarwal's work include Market Dynamics and Volatility (10 papers), Stock Market Forecasting Methods (7 papers) and Financial Markets and Investment Strategies (6 papers). Divya Aggarwal is often cited by papers focused on Market Dynamics and Volatility (10 papers), Stock Market Forecasting Methods (7 papers) and Financial Markets and Investment Strategies (6 papers). Divya Aggarwal collaborates with scholars based in India, France and Tanzania. Divya Aggarwal's co-authors include Pitabas Mohanty, Randy J. Arnold, Haixu Tang, Predrag Radivojac, D. Israel, Nikunj Kumar Jain, Nachiket Kotwaliwale, K. B. Singh, Gaurav Sharma and Sunita Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Personality and Individual Differences and Annals of Operations Research.

In The Last Decade

Divya Aggarwal

29 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Aggarwal India 9 150 95 81 58 57 30 335
Hung T. Nguyen New Zealand 11 167 1.1× 119 1.3× 53 0.7× 15 0.3× 53 0.9× 52 331
Longhao Xu China 7 266 1.8× 199 2.1× 55 0.7× 20 0.3× 66 1.2× 9 463
Thanos Verousis United Kingdom 12 183 1.2× 180 1.9× 44 0.5× 40 0.7× 18 0.3× 46 322
Lisana B. Martínez Argentina 13 360 2.4× 124 1.3× 20 0.2× 21 0.4× 34 0.6× 40 501
Sowmya Subramaniam India 10 351 2.3× 222 2.3× 44 0.5× 155 2.7× 14 0.2× 26 457
Anqi Liu United States 9 173 1.2× 181 1.9× 135 1.7× 32 0.6× 9 0.2× 21 330
David Alaminos Spain 12 146 1.0× 79 0.8× 99 1.2× 48 0.8× 29 0.5× 37 359
Ioannis Anagnostopoulos United Kingdom 6 175 1.2× 75 0.8× 19 0.2× 169 2.9× 49 0.9× 15 423
Rand Kwong Yew Low Australia 11 305 2.0× 309 3.3× 116 1.4× 21 0.4× 19 0.3× 30 480
Duy Duong Vietnam 8 224 1.5× 102 1.1× 47 0.6× 125 2.2× 20 0.4× 14 305

Countries citing papers authored by Divya Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Divya Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Aggarwal

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

All Works

20 of 20 papers shown
1.
Aggarwal, Divya, et al.. (2024). Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach. Journal of Forecasting. 44(2). 339–355. 7 indexed citations
2.
Mohanty, Pitabas, et al.. (2023). Examining significance of “downside beta” as a measure of risk – evidence from Indian equity market. International Journal of Emerging Markets. 20(1). 337–365. 1 indexed citations
3.
Jain, Nikunj Kumar, et al.. (2023). What influences individuals' tolerance for ambiguity? Exploring the role of social comparison orientation, tendency to maximize and feel regret. Personality and Individual Differences. 217. 112436–112436. 2 indexed citations
4.
Aggarwal, Divya, et al.. (2023). Shrinking the capital costs and beta risk impediments through ESG: study of an emerging market. Asian Review of Accounting. 32(2). 249–277. 7 indexed citations
5.
Aggarwal, Divya, et al.. (2022). WhatsApp Generation in Zoom University: Online Pedagogical Challenges and Innovations. Management and Labour Studies. 48(2). 169–181. 4 indexed citations
6.
Aggarwal, Divya, et al.. (2022). Examining impact of ESG score on financial performance of healthcare companies. Journal of Global Responsibility. 14(1). 155–176. 58 indexed citations
7.
Aggarwal, Divya & Pitabas Mohanty. (2021). Influence of imprecise information on risk and ambiguity preferences: Experimental evidence. Managerial and Decision Economics. 43(4). 1025–1038. 5 indexed citations
8.
Aggarwal, Divya, et al.. (2021). Risk and ambiguous choices: individual versus groups, an experimental analysis. Review of Behavioral Finance. 14(5). 733–750. 3 indexed citations
9.
Aggarwal, Divya, et al.. (2020). Smart voting web based application using face recognition, Aadhar and OTP verification. SHILAP Revista de lepidopterología. 9(3). 260–270. 2 indexed citations
10.
Aggarwal, Divya, et al.. (2020). A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices. Journal of Behavioral and Experimental Finance. 27. 100335–100335. 52 indexed citations
11.
Kotwaliwale, Nachiket, et al.. (2019). Machine vision for characterisation of some phenomic features of plant parts in distinguishing varieties - a review. International Journal of Bio-Inspired Computation. 14(4). 201–201. 2 indexed citations
12.
Aggarwal, Divya. (2019). Defining and measuring market sentiments: a review of the literature. Qualitative Research in Financial Markets. 14(2). 270–288. 35 indexed citations
13.
Aggarwal, Divya, et al.. (2019). Ambiguity attitudes and myopic loss aversion: Experimental evidence using carnival games. Journal of Behavioral and Experimental Finance. 25. 100258–100258. 4 indexed citations
14.
Aggarwal, Divya & Pitabas Mohanty. (2018). Do Indian stock market sentiments impact contemporaneous returns?. South Asian Journal of Business Studies. 7(3). 332–346. 15 indexed citations
15.
Aggarwal, Divya. (2017). Exploring relation between Indian market sentiments and stock market returns. Asian Journal of Empirical Research. 7(7). 147–159. 8 indexed citations
16.
Aggarwal, Divya. (2017). Random walk model and asymmetric effect in Korean composite stock price index. Afro-Asian J of Finance and Accounting. 8(1). 85–85. 10 indexed citations
17.
Aggarwal, Divya, et al.. (2016). Efficiency of Indian Commodity Market: A Survey of Brokers’ Perception. 7(1). 55–71. 3 indexed citations
18.
19.
Aggarwal, Divya, et al.. (2016). Review of Microfinance Schemes in Haryana with focus on Mewat. 7(1). 27–54.
20.
Arnold, Randy J., et al.. (2005). A MACHINE LEARNING APPROACH TO PREDICTING PEPTIDE FRAGMENTATION SPECTRA. PubMed. 219–30. 45 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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