Bikramaditya Ghosh

635 citations
56 papers · 426 indexed · h-index 12
Topics
Market Dynamics and Volatility (29 papers)Complex Systems and Time Series Analysis (19 papers)Stock Market Forecasting Methods (14 papers)

In The Last Decade

Bikramaditya Ghosh

50 papers receiving 396 citations

Peers

Bikramaditya Ghosh
Comparison fields: 5 of 79
  • Economics and Econometrics 300
  • Finance 114
  • Information Systems 75
  • Management Science and Operations Research 53
  • Renewable Energy, Sustainability and the Environment 48
Replace Efe Çağlar Çağlı with:
Efe Çağlar Çağlı Türkiye
Peng‐Fei Dai China
Panagiotis Tziogkidis United Kingdom
Molla Ramizur Rahman India
Héla Mzoughi France
Hee-Un Ko South Korea
María de la O González Spain
Di Yuan China
Achraf Ghorbel Tunisia
Yanran Hong China
Bikramaditya Ghosh relative to Efe Çağlar Çağlı Türkiye Efe Çağlar Çağlı's profile →
Citations per field
00.5×1.6×
Efe Çağlar Çağlı · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 5
6 9
7 2
8 35
9 0
10 5
11 10
12 58
13 8
14 5
15 1
16 1
17 14
18 8
19 10
20
Bankruptcy Modelling of Indian Public Sector Banks: Evidence from Neural Trace
2

About Bikramaditya Ghosh

Bikramaditya Ghosh is a scholar working on General Energy, Finance and Economics and Econometrics, having authored 56 papers that have together received 426 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (29 papers), Complex Systems and Time Series Analysis (19 papers) and Stock Market Forecasting Methods (14 papers). The work is most often cited by research in General Energy (29 citations), Finance (114 citations) and Economics and Econometrics (300 citations). Bikramaditya Ghosh has collaborated with scholars based in India, United Kingdom and Greece. Frequent co-authors include Elie Bouri, Тамара Теплова, Linh Pham, Zaghum Umar, Mariya Gubareva, Spyros Papathanasiou, Dimitris Kenourgios, Αθανάσιος Τσαγκανός, Ahmed Bossman and Nabila Nisha. Their work appears in journals such as Scientific Reports, Energy Economics and Sustainability.

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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