---
title: "LexisNexis: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 105 archived papers mentioned LexisNexis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2026 (7)."
url: https://scholar4ai.com/datasets/lexisnexis
markdown_url: https://scholar4ai.com/datasets/lexisnexis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 105 archived papers mentioned LexisNexis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2026 (7). (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)
---

# LexisNexis

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Search volumes, news archives and web content used to measure attention, news and sentiment.

- data category: Search, news and web data
- 0 papers in the last 7 days
- Names searched for: LexisNexis, Lexis Nexis, Nexis Uni

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Search, news and web data datasets: https://scholar4ai.com/datasets/search-news-and-web-data.md



## Key findings

- From Nov 2023 to Oct 2026, 105 archived papers mentioned LexisNexis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2026 (7).
- LexisNexis was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
- By journal category: Finance (1) and Information Systems (1).
- Most of them appeared in International Review of Economics & Finance (1) and Information and Organization (1).
- From 2017 to 2026 (so far), LexisNexis was mentioned in 122 papers in the tracked journals, most of them in management (27), finance (26) and economics (21).
- 36 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Aston University (4), Durham University (4) and University of Birmingham (4).
- The journals publishing most of them were Industrial Marketing Management (4), Research Policy (4) and Journal of Business Ethics (4).
- The most-cited of them is “The Effects of Central Bank Digital Currencies News on Financial Markets” (Technological Forecasting and Social Change, 2022), with 180 citations.
- Papers use LexisNexis most often with Compustat (22), Twitter / X (19) and S&P 500 (16); it has 42 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 |
|---|---:|---:|---:|---:|
|  | 35 | 38 | 32 | 105 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 11 | 7 | 6 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 9 | 5 | 7 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 8 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 2 | 1 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 4 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 4 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 0 | 1 | 1 | 0 | 4 | 5 | 9 | 38 | 36 | 28 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Industrial Marketing Management](https://scholar4ai.com/journals/industrial-marketing-management.md) | 4 |
| 2 | [Research Policy](https://scholar4ai.com/journals/research-policy.md) | 4 |
| 3 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 4 |
| 4 | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 4 |
| 5 | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 4 |
| 6 | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 3 |
| 7 | [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | 3 |
| 8 | [European Journal of Law and Economics](https://scholar4ai.com/journals/european-journal-of-law-and-economics.md) | 3 |
| 9 | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 3 |
| 10 | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Aston University | 4 |
| 2 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 4 |
| 3 | [University of Birmingham](https://scholar4ai.com/institutions/university-of-birmingham.md) | 4 |
| 4 | [Cardiff University](https://scholar4ai.com/institutions/cardiff-university.md) | 3 |
| 5 | [Lancaster University](https://scholar4ai.com/institutions/lancaster-university.md) | 3 |
| 6 | [University of Cambridge](https://scholar4ai.com/institutions/university-of-cambridge.md) | 3 |
| 7 | [Utrecht University](https://scholar4ai.com/institutions/utrecht-university.md) | 3 |
| 8 | [Vrije Universiteit Amsterdam](https://scholar4ai.com/institutions/vrije-universiteit-amsterdam.md) | 3 |
| 9 | Aalborg University | 2 |
| 10 | [Aarhus University](https://scholar4ai.com/institutions/aarhus-university.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United Kingdom | 40 |
| 2 | United States | 20 |
| 3 | Germany | 15 |
| 4 | Italy | 13 |
| 5 | China | 12 |
| 6 | Netherlands | 12 |
| 7 | Australia | 5 |
| 8 | Switzerland | 5 |
| 9 | Denmark | 5 |
| 10 | France | 5 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 8 |
| 2 | media coverage | 7 |
| 3 | [firm value](https://scholar4ai.com/keywords/firm-value.md) | 6 |
| 4 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 5 |
| 5 | cryptocurrency | 4 |
| 6 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 4 |
| 7 | [manufacturing industry](https://scholar4ai.com/keywords/manufacturing-industry.md) | 4 |
| 8 | stock market reaction | 4 |
| 9 | [Bitcoin](https://scholar4ai.com/keywords/bitcoin.md) | 3 |
| 10 | accountability | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 180 | 3.3 | [The Effects of Central Bank Digital Currencies News on Financial Markets](https://doi.org/10.1016/j.techfore.2022.121715) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2022-04-30 | Yizhi Wang, Brian M. Lucey, Samuel  Alexandre Vigne et al. |
| 2 | 174 | 3.0 | [Volatility Spillovers Across NFTs News Attention and Financial Markets](https://doi.org/10.1016/j.irfa.2022.102313) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 2022-01-01 | Yizhi Wang |
| 3 | 92 | 4.7 | [Greenwashing and market value of firms: An empirical study](https://doi.org/10.1016/j.ijpe.2025.109606) | [International Journal of Production Economics](https://scholar4ai.com/journals/international-journal-of-production-economics.md) | 2025-03-21 | Mao Xu, Ying Kei Tse, Ruoqi Geng et al. |
| 4 | 87 | 1.6 | [News-based sentiment and bitcoin volatility](https://doi.org/10.1016/j.irfa.2022.102183) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 2022-04-28 | Niranjan Sapkota |
| 5 | 81 | 2.9 | [The impact of metaverse for business model innovation: A review, novel insights and research directions](https://doi.org/10.1016/j.techfore.2024.123571) | [Technological Forecasting and Social Change](https://scholar4ai.com/journals/technological-forecasting-and-social-change.md) | 2024-07-14 | Maria Elena Latino, Maria Chiara De Lorenzi, Angelo Corallo et al. |

## Used together with

Papers use LexisNexis most often with Compustat (22), Twitter / X (19) and S&P 500 (16); it has 42 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

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

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 22 | 13.7 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 19 | 1.7 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 16 | 2.8 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 15 | 2.0 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 13 | 12.0 |
| [Factiva](https://scholar4ai.com/datasets/factiva.md) | Dataset | 11 | 45.4 |
| [ExecuComp](https://scholar4ai.com/datasets/execucomp.md) | Dataset | 10 | 45.6 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 9 | 1.5 |
| [Refinitiv Datastream](https://scholar4ai.com/datasets/refinitiv-datastream.md) | Dataset | 9 | 9.4 |
| [LinkedIn](https://scholar4ai.com/datasets/linkedin.md) | Dataset | 8 | 3.8 |
| [Refinitiv Eikon / LSEG Workspace](https://scholar4ai.com/datasets/refinitiv-eikon-lseg-workspace.md) | Dataset | 8 | 8.3 |
| [Euro Stoxx / DAX](https://scholar4ai.com/datasets/euro-stoxx-dax.md) | Dataset | 7 | 6.5 |

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

## Papers

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

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-14 | [Government-sourced categorical economic policy uncertainty](https://doi.org/10.1016/j.iref.2026.105966) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Khanh Cong Gia Hoang, Linh Pham, Thanh Ngo et al. |  |
| 2026-10-14 | [Technology-mediated emergence of a competing logic in a mature field: The case of Bitcoin](https://doi.org/10.1016/j.infoandorg.2026.100649) | [Information and Organization](https://scholar4ai.com/journals/information-and-organization.md) | Saurav Kumar, Dmitrj Slepniov, Niall Mackenzie | Aalborg University; University of Strathclyde |

## Cite this page

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

```bibtex
@misc{scholar4ai-datasets-lexisnexis,
  author = {{Scholar4AI}},
  title = {LexisNexis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/lexisnexis}},
  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/).