WTI crude oil
← Most-used data · All Commodity prices datasets
Benchmark prices of crude oil, natural gas, metals and agricultural commodities.
Key findings#
- From Nov 2023 to Oct 2026, 382 archived papers mentioned WTI crude oil in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (23).
- WTI crude oil was mentioned in 11 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #19 of the 255 datasets mentioned.
- By journal category: Finance (6), Economics (3), Management (1) and AI (1).
- Most of them appeared in Finance research letters (2), Journal of Economics and Finance (1) and International Review of Economics & Finance (1).
- From 2017 to 2026 (so far), WTI crude oil was mentioned in 646 papers in the tracked journals, most of them in economics (310), finance (260) and AI (25).
- 100 of them were published in 2025, against 11 in 2017.
- Since 2023, the institutions with the most of these papers were Lebanese American University (17), University of Pretoria (10) and Tunis El Manar University (9).
- The journals publishing most of them were Energy Economics (66), Financial Innovation (45) and Resources Policy (22).
- The most-cited of them is “Is Gold a Hedge or a Safe-Haven Asset in the COVID–19 Crisis?” (Economic Modelling, 2020), with 526 citations.
- Papers use WTI crude oil most often with Brent crude oil (218), Economic Policy Uncertainty index (133) and S&P 500 (116); it has 66 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 145 | 114 | 123 | 382 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| Economics | 4 | 23 | 15 | 14 | 32 | 39 | 36 | 61 | 39 | 47 |
| Finance | 7 | 10 | 10 | 10 | 16 | 12 | 25 | 65 | 45 | 60 |
| AI | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 7 | 9 | 4 |
| Operations Research | 0 | 1 | 1 | 0 | 3 | 4 | 5 | 4 | 4 | 2 |
| Management | 0 | 0 | 0 | 2 | 1 | 3 | 5 | 6 | 2 | 4 |
| Statistics | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 |
| Information Systems | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 11 | 36 | 26 | 27 | 52 | 60 | 73 | 144 | 100 | 117 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Energy Economics | 66 |
| 2 | Financial Innovation | 45 |
| 3 | Resources Policy | 22 |
| 4 | International Review of Economics & Finance | 22 |
| 5 | Finance research letters | 22 |
| 6 | Computational Economics | 17 |
| 7 | Research in International Business and Finance | 15 |
| 8 | International Review of Financial Analysis | 15 |
| 9 | The North American Journal of Economics and Finance | 15 |
| 10 | Journal of commodity markets | 10 |
| # | Institution | Papers |
|---|---|---|
| 1 | Lebanese American University | 17 |
| 2 | University of Pretoria | 10 |
| 3 | Tunis El Manar University | 9 |
| 4 | Edinburgh Napier University | 8 |
| 5 | Sapienza University of Rome | 8 |
| 6 | Audencia Business School | 7 |
| 7 | Dublin City University | 7 |
| 8 | Paris School of Business | 7 |
| 9 | Pusan National University | 7 |
| 10 | Queen Mary University of London | 7 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 115 |
| 2 | United Kingdom | 84 |
| 3 | France | 42 |
| 4 | Italy | 36 |
| 5 | United States | 36 |
| 6 | Turkey | 34 |
| 7 | Tunisia | 25 |
| 8 | India | 23 |
| 9 | Spain | 22 |
| 10 | South Korea | 20 |
| # | Keyword | Papers |
|---|---|---|
| 1 | WTI crude oil | 100 |
| 2 | COVID-19 pandemic | 79 |
| 3 | oil prices | 63 |
| 4 | Brent crude oil | 62 |
| 5 | Russian invasion of Ukraine | 56 |
| 6 | geopolitical risk | 40 |
| 7 | volatility spillovers | 38 |
| 8 | hedging | 27 |
| 9 | oil price volatility | 27 |
| 10 | oil price shocks | 24 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 526 | 6.4 | Is Gold a Hedge or a Safe-Haven Asset in the COVID–19 Crisis? | Economic Modelling | 2020-01-01 | Md Akhtaruzzaman, Sabri Boubaker, Brian M. Lucey et al. |
| 2 | 383 | 3.4 | A deep learning ensemble approach for crude oil price forecasting | Energy Economics | 2017-06-10 | Yang Zhao, Jianping Li, Lean Yu |
| 3 | 292 | 4.0 | Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19 | Energy Economics | 2020-10-01 | Shaen Corbet, John W. Goodell, Samet Günay |
| 4 | 288 | 2.6 | On the dynamic dependence and investment performance of crude oil and clean energy stocks | Research in International Business and Finance | 2017-07-08 | Wasim Ahmad |
| 5 | 269 | 2.5 | Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty? | Energy Economics | 2017-10-01 | Yu Wei, Jing Liu, Xiaodong Lai et al. |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| Brent crude oil | Dataset | 218 | 32.3 |
| Economic Policy Uncertainty index | Dataset | 133 | 3.6 |
| S&P 500 | Dataset | 116 | 3.3 |
| VIX | Dataset | 78 | 5.2 |
| Marketization index (Fan Gang) | Dataset | 51 | 4.9 |
| US Energy Information Administration (EIA) | Dataset | 43 | 15.3 |
| Geopolitical Risk index | Dataset | 38 | 10.2 |
| Climate Policy Uncertainty index | Dataset | 35 | 4.1 |
| Twitter / X | Dataset | 30 | 0.5 |
| OVX (crude oil volatility index) | Dataset | 29 | 21.8 |
| Euro Stoxx / DAX | Dataset | 26 | 4.0 |
| MSCI indices | Dataset | 25 | 8.9 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-11-03 | Supply disruptions and predictability of oil return volatility: a GARCH-MIDAS approach | Journal of Economics and Finance | Afees Adebare Salisu, Ahamuefula E. Ogbonna, Rangan Gupta et al. | |
| 2026-10-27 | Macro-financial conditions and volatility connectedness across industrial and precious metal markets | International Review of Economics & Finance | Amelie Schischke, Andreas Rathgeber | University of Augsburg |
| 2026-10-23 | Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel | Future Business Journal | Baffour Osei, Abigail Boatemaa, Isaac Nyame et al. | University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; … |
| 2026-10-21 | Forecasting crude oil price with a visibility graph model | Finance research letters | 欧阳资生, Yinquan Qi, Min Lu et al. | Hunan Normal University |
| 2026-10-17 | The role of memory structure in tail risk forecasting for WTI crude oil futures | Energy Economics | Xinyu Cao, Yan Li, Zongxin Qian | Renmin University of China |
| 2026-10-15 | Geopolitical risk spillovers among GCC stock markets, non-renewable energy, and gold: evidence from a quantile connectedness approach | Portuguese Economic Journal | Nidhal Mgadmi, Fekria Belhouichet, Ştefan Cristian Gherghina et al. | University of Sfax; Faculty of Economics and Management of Sfax; Bucharest University of Economic Studies; … |
| 2026-10-15 | Analyzing the dynamic connectedness and quantile dependence between carbon and fossil energy markets | Journal of commodity markets | Walid Mensi, Salem Adel Ziadat, Bashar Yaser Almansour et al. | Sultan Qaboos University; Tunis El Manar University; University of Jordan; … |
| 2026-10-13 | A context-aware dynamic ensemble interval-valued crude oil price forecasting system | Information Processing & Management | Wendong Yang, Junyuan Li, Shuai Wang et al. | Shandong University of Finance and Economics; Shandong Normal University |
| 2026-10-08 | Oil Shocks and Industry 4.0 Sectors: Quantile Time–frequency Connectedness and Causality Evidence | Asia-Pacific Financial Markets | Hee-Un Ko, Nayanjyoti Bhattacharjee, Amit Kumar Narzary et al. | Jeonbuk State Institute; Bodoland University; University of South Australia; … |
| 2026-10-07 | The lithium bubble in the aftermath of COVID and the energy transition hype | Resources Policy | Pablo Agnese, Francisco Ríos Muñoz | United Arab Emirates University; Universidad de Playa Ancha de Ciencias de la Educación |
| 2026-10-07 | Testing for dominance in risk transmission mechanisms towards the European energy market | Finance research letters | Jone Ascorbebeitia, Eva Ferreira, Susan Orbe | University of the Basque Country |
Cite this page
Scholar4AI. (2026). WTI crude oil. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/wti-crude-oil
@misc{scholar4ai-datasets-wti-crude-oil,
author = {{Scholar4AI}},
title = {WTI crude oil},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/wti-crude-oil}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}