Bikramaditya Ghosh

635 total citations
56 papers, 426 citations indexed

About

Bikramaditya Ghosh is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, Bikramaditya Ghosh has authored 56 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Economics and Econometrics, 19 papers in Finance and 14 papers in Management Science and Operations Research. Recurrent topics in Bikramaditya Ghosh's work include Market Dynamics and Volatility (29 papers), Complex Systems and Time Series Analysis (19 papers) and Stock Market Forecasting Methods (14 papers). Bikramaditya Ghosh is often cited by papers focused on Market Dynamics and Volatility (29 papers), Complex Systems and Time Series Analysis (19 papers) and Stock Market Forecasting Methods (14 papers). Bikramaditya Ghosh collaborates with scholars based in India, United Kingdom and Greece. Bikramaditya Ghosh's co-authors include Elie Bouri, Linh Pham, Тамара Теплова, Zaghum Umar, Mariya Gubareva, Spyros Papathanasiou, Dimitris Kenourgios, Αθανάσιος Τσαγκανός, Ahmed Bossman and Nabila Nisha and has published in prestigious journals such as Scientific Reports, Energy Economics and Sustainability.

In The Last Decade

Bikramaditya Ghosh

50 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bikramaditya Ghosh India 12 300 114 75 53 48 56 426
Takuji Kinkyo Japan 9 267 0.9× 146 1.3× 46 0.6× 44 0.8× 48 1.0× 35 366
Aydin A. Cecen United States 6 197 0.7× 91 0.8× 17 0.2× 15 0.3× 27 0.6× 11 252
Efe Çağlar Çağlı Türkiye 12 396 1.3× 132 1.2× 122 1.6× 33 0.6× 70 1.5× 31 464
Peng‐Fei Dai China 12 382 1.3× 108 0.9× 53 0.7× 23 0.4× 67 1.4× 23 467
Panagiotis Tziogkidis United Kingdom 7 213 0.7× 122 1.1× 45 0.6× 95 1.8× 45 0.9× 11 304
Molla Ramizur Rahman India 11 209 0.7× 116 1.0× 52 0.7× 27 0.5× 27 0.6× 21 285
Sashikanta Khuntia India 6 344 1.1× 144 1.3× 132 1.8× 33 0.6× 50 1.0× 8 385
Di Yuan China 10 369 1.2× 88 0.8× 40 0.5× 29 0.5× 68 1.4× 23 422
Huaigang Long China 12 362 1.2× 248 2.2× 92 1.2× 51 1.0× 18 0.4× 34 440

Countries citing papers authored by Bikramaditya Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Bikramaditya Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bikramaditya Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Bikramaditya Ghosh. A scholar is included among the top collaborators of Bikramaditya Ghosh 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 Bikramaditya Ghosh. Bikramaditya Ghosh 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.
Harper, Julie, Hilary Baldwin, Bikramaditya Ghosh, et al.. (2024). Treatments for Moderate-to-Severe Acne Vulgaris: A Systematic Review and Network Meta-analysis. Journal of Drugs in Dermatology. 23(4). 216–226. 1 indexed citations
2.
Chatterjee, Ayan, Michael A. Riegler, Miriam S. Johnson, et al.. (2024). Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology. Scientific Reports. 14(1). 24190–24190.
3.
Ghosh, Bikramaditya, et al.. (2024). Stock market prediction employing ensemble methods: the Nifty50 index. IAES International Journal of Artificial Intelligence. 13(2). 2049–2049. 1 indexed citations
4.
Ghosh, Bikramaditya, et al.. (2024). Quantile connectedness in renewable energy companies and related commodities during Covid-19 outbreak. Environmental Economics and Policy Studies. 28(1). 9–32.
5.
Ghosh, Bikramaditya, et al.. (2024). Change in dietary pattern of Agri commodities in the past six decades: Time-varying VAR approach. Global Food Security. 44. 100823–100823. 2 indexed citations
6.
Ghosh, Bikramaditya, et al.. (2023). Analysis of Nifty 50 index stock market trends using hybrid machine learning model in quantum finance. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(3). 3549–3549. 9 indexed citations
7.
Ghosh, Bikramaditya, et al.. (2023). Do Automated Market Makers in DeFi Ecosystem Exhibit Time-Varying Connectedness during Stressed Events?. Journal of risk and financial management. 16(5). 259–259. 5 indexed citations
8.
Ghosh, Bikramaditya, et al.. (2022). Bubble in Carbon Credits during COVID-19: Financial Instability or Positive Impact (“Minsky” or “Social”)?. Journal of risk and financial management. 15(8). 367–367. 10 indexed citations
9.
Ghosh, Bikramaditya, Spyros Papathanasiou, & Dimitris Kenourgios. (2022). Cross-Country Linkages and Asymmetries of Sovereign Risk Pluralistic Investigation of CDS Spreads. Sustainability. 14(21). 14056–14056.
10.
Ghosh, Bikramaditya, et al.. (2022). Did cryptocurrencies exhibit log‐periodic power law signature during the second wave of COVID‐19?. Economic Notes. 51(3). 5 indexed citations
11.
Ghosh, Bikramaditya, Linh Pham, Тамара Теплова, & Zaghum Umar. (2022). COVID-19 and the quantile connectedness between energy and metal markets. Energy Economics. 117. 106420–106420. 58 indexed citations
12.
Ghosh, Bikramaditya. (2021). Diagnosis and Prediction of IIGPS’ Countries Bubble Crashes during BREXIT. MDPI (MDPI AG). 8 indexed citations
13.
Ghosh, Bikramaditya, et al.. (2020). Investigation of the fractal footprint in selected EURIBOR panel banks. Banks and Bank Systems. 15(1). 185–198. 5 indexed citations
14.
Ghosh, Bikramaditya, et al.. (2020). Long memory investigation during demonetization in India. Investment Management and Financial Innovations. 17(2). 297–307. 1 indexed citations
15.
Ghosh, Bikramaditya, et al.. (2020). PCV75 IDENTIFYING APPROPIATE HOSPITALS FOR PATIENT RECRUITMENT IN CLINICAL TRIALS FOR CANADA USING MACHINE LEARNING ALGORITHMS. Value in Health. 23. S104–S105. 1 indexed citations
16.
Ghosh, Bikramaditya, et al.. (2019). Multifractal analysis of volatility for detection of herding and bubble: evidence from CNX Nifty HFT. Investment Management and Financial Innovations. 16(3). 182–193. 14 indexed citations
17.
Ghosh, Bikramaditya, et al.. (2019). Escape Velocity backed avalanche predictor- Neural evidence from Nifty. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 486–490. 1 indexed citations
18.
Ghosh, Bikramaditya, et al.. (2018). Predictability and herding of bourse volatility: an econophysics analogue. Investment Management and Financial Innovations. 15(2). 317–326. 8 indexed citations
19.
Ghosh, Bikramaditya, et al.. (2018). Identifying explosive behavioral trace in the CNX Nifty Index: a quantum finance approach. Investment Management and Financial Innovations. 15(1). 208–223. 10 indexed citations
20.
Ghosh, Bikramaditya. (2017). Bankruptcy Modelling of Indian Public Sector Banks: Evidence from Neural Trace. SSRN Electronic Journal. 2 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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