Oğuzhan Çepni

919 total citations · 2 hit papers
40 papers, 581 citations indexed

About

Oğuzhan Çepni is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Oğuzhan Çepni has authored 40 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Economics and Econometrics, 18 papers in Finance and 15 papers in General Economics, Econometrics and Finance. Recurrent topics in Oğuzhan Çepni's work include Market Dynamics and Volatility (32 papers), Monetary Policy and Economic Impact (15 papers) and Energy, Environment, Economic Growth (12 papers). Oğuzhan Çepni is often cited by papers focused on Market Dynamics and Volatility (32 papers), Monetary Policy and Economic Impact (15 papers) and Energy, Environment, Economic Growth (12 papers). Oğuzhan Çepni collaborates with scholars based in Denmark, Türkiye and South Africa. Oğuzhan Çepni's co-authors include Rangan Gupta, Gazi Salah Uddin, Linh Pham, Erdinç Akyıldırım, Christian Pierdzioch, Matteo Bonato, Lavinia Rognone, Péter Molnár, Rıza Demirer and Xin Sheng and has published in prestigious journals such as Energy Economics, Economics Letters and Resources Policy.

In The Last Decade

Oğuzhan Çepni

33 papers receiving 562 citations

Hit Papers

Climate uncertainty and information transmissions across ... 2023 2026 2024 2025 2023 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oğuzhan Çepni Denmark 12 498 232 91 64 53 40 581
Adrián Fernández-Pérez New Zealand 14 593 1.2× 335 1.4× 184 2.0× 66 1.0× 57 1.1× 65 685
Wenting Zhang China 9 484 1.0× 131 0.6× 75 0.8× 100 1.6× 25 0.5× 25 555
Lavinia Rognone United Kingdom 11 527 1.1× 269 1.2× 39 0.4× 84 1.3× 23 0.4× 18 630
Lan Bai China 12 598 1.2× 166 0.7× 56 0.6× 163 2.5× 43 0.8× 14 647
Peng‐Fei Dai China 12 382 0.8× 108 0.5× 49 0.5× 67 1.0× 23 0.4× 23 467
Safwan Mohd Nor Malaysia 13 367 0.7× 192 0.8× 92 1.0× 40 0.6× 47 0.9× 32 477
Idris A. Adediran Nigeria 13 471 0.9× 100 0.4× 103 1.1× 95 1.5× 32 0.6× 30 545
Onur Polat Türkiye 13 555 1.1× 186 0.8× 93 1.0× 82 1.3× 54 1.0× 48 681
Kamel Naoui Tunisia 11 410 0.8× 257 1.1× 83 0.9× 34 0.5× 54 1.0× 45 503
Efe Çağlar Çağlı Türkiye 12 396 0.8× 132 0.6× 57 0.6× 70 1.1× 33 0.6× 31 464

Countries citing papers authored by Oğuzhan Çepni

Since Specialization
Citations

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

Fields of papers citing papers by Oğuzhan Çepni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oğuzhan Çepni

This figure shows the co-authorship network connecting the top 25 collaborators of Oğuzhan Çepni. A scholar is included among the top collaborators of Oğuzhan Çepni 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 Oğuzhan Çepni. Oğuzhan Çepni 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.
Akyıldırım, Erdinç, Ahmet Faruk Aysan, Oğuzhan Çepni, & Shaen Corbet. (2025). News sentiment and DeFi coin returns: An empirical analysis. International Review of Economics & Finance. 103. 104483–104483.
2.
Çepni, Oğuzhan, Hardik A. Marfatia, & Rangan Gupta. (2025). The time-varying impact of uncertainty shocks on the co-movement of regional housing prices of the United Kingdom. Humanities and Social Sciences Communications. 12(1).
3.
Çepni, Oğuzhan, et al.. (2025). Monetary policy shocks and multi-scale positive and negative bubbles in an emerging country: the case of India. Financial Innovation. 11(1). 1 indexed citations
4.
Çepni, Oğuzhan, et al.. (2025). Supply chain constraints and the predictability of the conditional distribution of international stock market returns and volatility. Economics Letters. 247. 112176–112176. 1 indexed citations
5.
Caporin, Massimiliano, Petre Caraiani, Oğuzhan Çepni, & Rangan Gupta. (2025). Predicting the conditional distribution of US stock market systemic Stress: The role of climate risks. Journal of International Financial Markets Institutions and Money. 101. 102156–102156.
6.
Polat, Onur, et al.. (2024). Oil price shocks and the connectedness of US state-level financial markets. Energy Economics. 141. 108128–108128. 1 indexed citations
7.
Çepni, Oğuzhan, et al.. (2024). Climate change exposure and cost of equity. Energy Economics. 130. 107288–107288. 42 indexed citations breakdown →
8.
Gündüz, Lokman, et al.. (2024). House price dynamics in Istanbul: District-level analysis of convergence clubs, spillovers, and key drivers. Borsa Istanbul Review. 25(1). 195–205.
9.
Polat, Onur, Rangan Gupta, Oğuzhan Çepni, & Qiang Ji. (2024). Can municipal bonds hedge US state-level climate risks?. Finance research letters. 67. 105915–105915. 3 indexed citations
10.
Aysan, Ahmet Faruk, Massimiliano Caporin, & Oğuzhan Çepni. (2024). Not all words are equal: Sentiment and jumps in the cryptocurrency market. Journal of International Financial Markets Institutions and Money. 91. 101920–101920. 8 indexed citations
11.
Sheng, Xin, Rangan Gupta, & Oğuzhan Çepni. (2024). Time-Varying effects of extreme weather shocks on output growth of the United States. Finance research letters. 70. 106318–106318. 4 indexed citations
12.
Gupta, Rangan, et al.. (2023). Climate risks and predictability of the trading volume of gold: Evidence from an INGARCH model. Resources Policy. 82. 103438–103438. 14 indexed citations
13.
Çepni, Oğuzhan, et al.. (2023). Geography of Housing Sentiment over Business Cycles. SSRN Electronic Journal. 1 indexed citations
14.
Çepni, Oğuzhan, Tarik Doğru, & Özgür Özdemir. (2022). The contagion effect of COVID-19-induced uncertainty on US tourism sector: Evidence from time-varying granger causality test. Tourism Economics. 29(4). 906–928. 19 indexed citations
15.
Çepni, Oğuzhan. (2022). Does vaccination help to reduce financial stress on tourism subsectors?. Tourism Economics. 29(7). 1937–1946. 2 indexed citations
16.
Çepni, Oğuzhan, et al.. (2022). Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?. Energy Economics. 114. 106229–106229. 18 indexed citations
17.
Akyıldırım, Erdinç, Oğuzhan Çepni, Péter Molnár, & Gazi Salah Uddin. (2022). Connectedness of energy markets around the world during the COVID-19 pandemic. Energy Economics. 109. 105900–105900. 78 indexed citations
18.
Çepni, Oğuzhan, et al.. (2021). Forecasting mid-price movement of Bitcoin futures using machine learning. Annals of Operations Research. 330(1-2). 553–584. 47 indexed citations
19.
Çepni, Oğuzhan, et al.. (2021). The impact of oil price shocks on Turkish sovereign yield curve. International Journal of Emerging Markets. 17(9). 2258–2277. 7 indexed citations
20.
Çepni, Oğuzhan, et al.. (2017). Optimal Mix of the Extended Nelson Siegel Model for Turkish Sovereign Yield Curve. Economics bulletin. 37(2). 1133–1142. 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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