---
title: "CoinMarketCap: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 59 archived papers mentioned CoinMarketCap in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (5)."
url: https://scholar4ai.com/datasets/coinmarketcap
markdown_url: https://scholar4ai.com/datasets/coinmarketcap.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 59 archived papers mentioned CoinMarketCap in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (5). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# CoinMarketCap

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

Prices, trading volumes and on-chain records of cryptocurrencies.

- data category: Cryptocurrency data
- 0 papers in the last 7 days
- Names searched for: CoinMarketCap

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Cryptocurrency data datasets: https://scholar4ai.com/datasets/cryptocurrency-data.md



## Key findings

- From Nov 2023 to Oct 2026, 59 archived papers mentioned CoinMarketCap in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (5).
- CoinMarketCap was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: Finance (1).
- Most of them appeared in Finance research letters (1).
- From 2017 to 2026 (so far), CoinMarketCap was mentioned in 65 papers in the tracked journals, most of them in finance (35), economics (9) and information systems (8).
- 19 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Copenhagen Business School (3), Pusan National University (3) and City University of Hong Kong (2).
- The journals publishing most of them were Financial Innovation (9), International Review of Economics & Finance (5) and Electronic Markets (4).
- The most-cited of them is “Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty” (Energy Economics, 2023), with 79 citations.
- Papers use CoinMarketCap most often with S&P 500 (22), Economic Policy Uncertainty index (14) and Twitter / X (14); it has 22 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 23 | 19 | 17 | 59 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 15 | 7 | 9 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 3 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 24 | 19 | 15 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 9 |
| 2 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 5 |
| 3 | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 4 |
| 4 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 3 |
| 5 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 2 |
| 6 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 7 | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 2 |
| 8 | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 2 |
| 9 | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 2 |
| 10 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Copenhagen Business School](https://scholar4ai.com/institutions/copenhagen-business-school.md) | 3 |
| 2 | Pusan National University | 3 |
| 3 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 2 |
| 4 | German Research Centre for Artificial Intelligence | 2 |
| 5 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 2 |
| 6 | Nottingham Trent University | 2 |
| 7 | [Southwestern University of Finance and Economics](https://scholar4ai.com/institutions/southwestern-university-of-finance-and-economics.md) | 2 |
| 8 | Sultan Qaboos University | 2 |
| 9 | Tunis El Manar University | 2 |
| 10 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 16 |
| 2 | China | 9 |
| 3 | Germany | 9 |
| 4 | Australia | 6 |
| 5 | Italy | 5 |
| 6 | Hong Kong | 4 |
| 7 | South Korea | 4 |
| 8 | Turkey | 4 |
| 9 | Denmark | 3 |
| 10 | Finland | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | cryptocurrency | 17 |
| 2 | [Bitcoin](https://scholar4ai.com/keywords/bitcoin.md) | 16 |
| 3 | Ethereum | 9 |
| 4 | [blockchain](https://scholar4ai.com/keywords/blockchain.md) | 9 |
| 5 | decentralized finance | 7 |
| 6 | cryptocurrency market | 6 |
| 7 | cryptocurrency regulation | 6 |
| 8 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 5 |
| 9 | cryptocurrency returns | 5 |
| 10 | [investor sentiment](https://scholar4ai.com/keywords/investor-sentiment.md) | 5 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 79 | 2.1 | [Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty](https://doi.org/10.1016/j.eneco.2023.107079) | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 2023-10-06 | Kun Duan, Yanqi Zhao, Andrew Urquhart et al. |
| 2 | 70 | 1.9 | [Silicon Valley Bank bankruptcy and Stablecoins stability](https://doi.org/10.1016/j.irfa.2023.103001) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 2023-10-14 | Luca Galati, Francesco Capalbo |
| 3 | 63 | 5.3 | [Deep learning for financial forecasting: A review of recent trends](https://doi.org/10.1016/j.iref.2025.104719) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 2025-11-05 | Sofia Giantsidi, Claudia Tarantola |
| 4 | 40 | 1.2 | [The rise and fall of cryptocurrencies: defining the economic and social values of blockchain technologies, assessing the opportunities, and defining the financial and cybersecurity risks of the Metaverse](https://doi.org/10.1186/s40854-023-00537-8) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 2024-01-31 | Petar Radanliev |
| 5 | 33 | 1.4 | [Spillovers between cryptocurrencies and financial markets in a global framework](https://doi.org/10.1016/j.jimonfin.2024.103235) | [Journal of International Money and Finance](https://scholar4ai.com/journals/journal-of-international-money-and-finance.md) | 2024-11-12 | Darko B. Vukovic, Michael Frömmel, Samuel  Alexandre Vigne et al. |

## Used together with

Papers use CoinMarketCap most often with S&P 500 (22), Economic Policy Uncertainty index (14) and Twitter / X (14); it has 22 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use CoinMarketCap together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 22 | 7.1 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 14 | 4.3 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 14 | 2.3 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 12 | 2.9 |
| [Google Trends](https://scholar4ai.com/datasets/google-trends.md) | Dataset | 12 | 13.6 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 11 | 12.1 |
| [CoinGecko](https://scholar4ai.com/datasets/coingecko.md) | Dataset | 9 | 288.0 |
| [VIX](https://scholar4ai.com/datasets/vix.md) | Dataset | 9 | 6.8 |
| [Yahoo Finance](https://scholar4ai.com/datasets/yahoo-finance.md) | Dataset | 9 | 32.6 |
| [CSI 300 / Shanghai Composite](https://scholar4ai.com/datasets/csi-300-shanghai-composite.md) | Dataset | 5 | 12.3 |
| [Euro Stoxx / DAX](https://scholar4ai.com/datasets/euro-stoxx-dax.md) | Dataset | 5 | 8.8 |
| [FTSE indices](https://scholar4ai.com/datasets/ftse-indices.md) | Dataset | 5 | 12.9 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning CoinMarketCap in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-07 | [ESG ratings for blockchains and cryptocurrencies](https://doi.org/10.1016/j.frl.2026.110886) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Jerusa Alberton, Marcelo Cabús Klötzle, Marcelo Guedes Pecly et al. | Pontifícia Universidade Católica do Rio de Janeiro |

## Cite this page

Scholar4AI. (2026). CoinMarketCap. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/coinmarketcap

```bibtex
@misc{scholar4ai-datasets-coinmarketcap,
  author = {{Scholar4AI}},
  title = {CoinMarketCap},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/coinmarketcap}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).