Niranjan Sapkota

621 total citations
24 papers, 434 citations indexed

About

Niranjan Sapkota is a scholar working on Information Systems, Finance and Economics and Econometrics. According to data from OpenAlex, Niranjan Sapkota has authored 24 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 12 papers in Finance and 11 papers in Economics and Econometrics. Recurrent topics in Niranjan Sapkota's work include Blockchain Technology Applications and Security (18 papers), Financial Markets and Investment Strategies (11 papers) and Complex Systems and Time Series Analysis (9 papers). Niranjan Sapkota is often cited by papers focused on Blockchain Technology Applications and Security (18 papers), Financial Markets and Investment Strategies (11 papers) and Complex Systems and Time Series Analysis (9 papers). Niranjan Sapkota collaborates with scholars based in Finland, United States and South Korea. Niranjan Sapkota's co-authors include Klaus Grobys, Shaker Ahmed, James W. Kolari, Juha-Pekka Junttila, Timothy King and Muhammad Rafiq and has published in prestigious journals such as Economics Letters, Journal of International Money and Finance and Finance research letters.

In The Last Decade

Niranjan Sapkota

20 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niranjan Sapkota Finland 9 316 288 213 50 47 24 434
Amin Shams United States 6 336 1.1× 327 1.1× 240 1.1× 43 0.9× 74 1.6× 8 519
Alexander Brauneis Austria 10 544 1.7× 423 1.5× 345 1.6× 73 1.5× 53 1.1× 26 682
Martin Haferkorn Germany 7 260 0.8× 284 1.0× 165 0.8× 47 0.9× 61 1.3× 23 436
Emna Mnif Tunisia 11 365 1.2× 232 0.8× 152 0.7× 35 0.7× 41 0.9× 29 485
Emiliano Pagnotta Singapore 8 255 0.8× 211 0.7× 263 1.2× 82 1.6× 39 0.8× 13 482
Wang Chun Wei Australia 6 326 1.0× 280 1.0× 208 1.0× 47 0.9× 30 0.6× 11 411
Anna Piotrowska Poland 5 205 0.6× 277 1.0× 73 0.3× 48 1.0× 65 1.4× 12 379
Savva Shanaev United Kingdom 9 211 0.7× 117 0.4× 115 0.5× 36 0.7× 27 0.6× 28 391
Jiří Švec Australia 9 237 0.8× 225 0.8× 199 0.9× 38 0.8× 38 0.8× 28 387
Khaled Guesmi France 6 536 1.7× 405 1.4× 186 0.9× 38 0.8× 16 0.3× 10 589

Countries citing papers authored by Niranjan Sapkota

Since Specialization
Citations

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

Fields of papers citing papers by Niranjan Sapkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niranjan Sapkota

This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan Sapkota. A scholar is included among the top collaborators of Niranjan Sapkota 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 Niranjan Sapkota. Niranjan Sapkota 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.
Sapkota, Niranjan. (2025). DeFi: Mirage or reality? Unveiling wealth centralization risk in Decentralized Finance. Journal of International Money and Finance. 158. 103404–103404.
2.
Sapkota, Niranjan. (2024). The crypto collapse chronicles: Decoding cryptocurrency exchange defaults. Journal of International Financial Markets Institutions and Money. 99. 102093–102093. 1 indexed citations
3.
Grobys, Klaus, Timothy King, & Niranjan Sapkota. (2022). A Fractal View on Losses Attributable to Scams in the Market for Initial Coin Offerings. Journal of risk and financial management. 15(12). 579–579. 4 indexed citations
4.
Sapkota, Niranjan & Klaus Grobys. (2022). Fear sells: On the sentiment deceptions and fundraising success of initial coin offerings. Journal of International Financial Markets Institutions and Money. 83. 101716–101716. 5 indexed citations
5.
Sapkota, Niranjan. (2022). News-based sentiment and bitcoin volatility. International Review of Financial Analysis. 82. 102183–102183. 58 indexed citations
6.
Grobys, Klaus, et al.. (2022). What’s the expected loss when Bitcoin is under cyberattack? A fractal process analysis. Journal of International Financial Markets Institutions and Money. 77. 101534–101534. 13 indexed citations
7.
Grobys, Klaus, Juha-Pekka Junttila, James W. Kolari, & Niranjan Sapkota. (2021). On the stability of stablecoins. Journal of Empirical Finance. 64. 207–223. 88 indexed citations
8.
Grobys, Klaus, Juha-Pekka Junttila, James W. Kolari, & Niranjan Sapkota. (2021). On the Stability of Stablecoins. SSRN Electronic Journal. 1 indexed citations
9.
Sapkota, Niranjan & Klaus Grobys. (2021). Asset market equilibria in cryptocurrency markets: Evidence from a study of privacy and non-privacy coins. Journal of International Financial Markets Institutions and Money. 74. 101402–101402. 12 indexed citations
10.
Sapkota, Niranjan & Klaus Grobys. (2021). Blockchain consensus protocols, energy consumption and cryptocurrency prices. 8 indexed citations
11.
Ahmed, Shaker, Klaus Grobys, & Niranjan Sapkota. (2020). Profitability of technical trading rules among cryptocurrencies with privacy function. Finance research letters. 35. 101495–101495. 21 indexed citations
12.
Sapkota, Niranjan, et al.. (2020). Striving to make better decision quicker in cloud: big data event trading in high frequency trading perspective. International Journal of Services Technology and Management. 26(2/3). 215–215. 1 indexed citations
13.
Grobys, Klaus, et al.. (2020). On the Tail Risk of Cyberattacks in the Bitcoin Market. SSRN Electronic Journal.
14.
Grobys, Klaus & Niranjan Sapkota. (2020). Predicting cryptocurrency defaults. Applied Economics. 52(46). 5060–5076. 24 indexed citations
15.
Sapkota, Niranjan & Klaus Grobys. (2019). Asset Market Equilibria in Cryptocurrency Markets: Evidence from a Study of Privacy and Non-Privacy Coins. SSRN Electronic Journal. 4 indexed citations
16.
Grobys, Klaus & Niranjan Sapkota. (2019). Predicting Cryptocurrency Defaults. SSRN Electronic Journal. 2 indexed citations
17.
Grobys, Klaus & Niranjan Sapkota. (2019). Cryptocurrencies and momentum. Economics Letters. 180. 6–10. 103 indexed citations
18.
Grobys, Klaus & Niranjan Sapkota. (2019). Contagion of Uncertainty: Transmission of Risk from the Cryptocurrency Market to the Foreign Exchange Market. SSRN Electronic Journal. 2 indexed citations
19.
Sapkota, Niranjan, et al.. (2018). Role of Information Communication Technology (ICT) in Nepalese Banking Industry. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 42(1). 75–88. 7 indexed citations
20.
Sapkota, Niranjan. (2014). Evaluating performance capacity of high frequency trading strategies, based on comparative ratios and market inefficiency at Helsinki Stock Exchange. 1 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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