Ikram Jebabli

3.1k total citations
9 papers, 367 citations indexed

About

Ikram Jebabli is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Ikram Jebabli has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 2 papers in Finance and 2 papers in General Economics, Econometrics and Finance. Recurrent topics in Ikram Jebabli's work include Market Dynamics and Volatility (4 papers), Energy, Environment, Economic Growth (3 papers) and Energy, Environment, and Transportation Policies (2 papers). Ikram Jebabli is often cited by papers focused on Market Dynamics and Volatility (4 papers), Energy, Environment, Economic Growth (3 papers) and Energy, Environment, and Transportation Policies (2 papers). Ikram Jebabli collaborates with scholars based in Morocco, France and Czechia. Ikram Jebabli's co-authors include Mohamed El Hédi Arouri, Noureddine Kouaissah, Frédèric Teulon, Amine Lahiani, Salma Mefteh‐Wali, David Roubaud, Rashid Mehmood, Suha Mahmoud Alawi, Sujani Thrikawala and Ahmed Imran Hunjra and has published in prestigious journals such as Energy Economics, Resources Policy and Finance research letters.

In The Last Decade

Ikram Jebabli

9 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikram Jebabli Morocco 6 316 94 67 66 47 9 367
Gabriel Di Bella United States 10 189 0.6× 72 0.8× 51 0.8× 100 1.5× 40 0.9× 33 314
Mo Yang China 10 243 0.8× 83 0.9× 59 0.9× 69 1.0× 32 0.7× 39 331
Yuliya Lovcha Spain 7 280 0.9× 63 0.7× 98 1.5× 94 1.4× 23 0.5× 14 338
Meng Qin China 12 332 1.1× 172 1.8× 46 0.7× 42 0.6× 56 1.2× 29 435
Ameenullah Aman Pakistan 7 311 1.0× 109 1.2× 54 0.8× 69 1.0× 17 0.4× 16 376
Nisit Panthamit Thailand 6 300 0.9× 136 1.4× 38 0.6× 51 0.8× 33 0.7× 16 374
Shabir Mohsin Hashmi China 12 481 1.5× 183 1.9× 77 1.1× 117 1.8× 38 0.8× 22 546
Wanli Zhao China 8 414 1.3× 116 1.2× 104 1.6× 83 1.3× 57 1.2× 12 446

Countries citing papers authored by Ikram Jebabli

Since Specialization
Citations

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

Fields of papers citing papers by Ikram Jebabli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikram Jebabli

This figure shows the co-authorship network connecting the top 25 collaborators of Ikram Jebabli. A scholar is included among the top collaborators of Ikram Jebabli 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 Ikram Jebabli. Ikram Jebabli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jebabli, Ikram, et al.. (2024). A hybrid deep learning model for cryptocurrency returns forecasting: Comparison of the performance of financial markets and impact of external variables. Research in International Business and Finance. 73. 102575–102575. 5 indexed citations
2.
Jebabli, Ikram, et al.. (2024). Integration of investor behavioral perspective and climate change in reinforcement learning for portfolio optimization. Research in International Business and Finance. 73. 102639–102639. 2 indexed citations
3.
Jebabli, Ikram, Amine Lahiani, & Salma Mefteh‐Wali. (2023). Quantile connectedness between CO2 emissions and economic growth in G7 countries. Resources Policy. 81. 103348–103348. 48 indexed citations
4.
Hunjra, Ahmed Imran, Ikram Jebabli, Sujani Thrikawala, Suha Mahmoud Alawi, & Rashid Mehmood. (2023). How do corporate governance and corporate social responsibility affect credit risk?. Research in International Business and Finance. 67. 102139–102139. 25 indexed citations
5.
Srivastava, Praveen Ranjan, et al.. (2023). Privacy concerns in tourism: a systematic literature review using machine learning approach and bibliometric analysis. Tourism Review. 79(5). 1105–1125. 5 indexed citations
6.
Kouaissah, Noureddine, Sergio Ortobelli Lozza, & Ikram Jebabli. (2021). Portfolio Selection Using Multivariate Semiparametric Estimators and a Copula PCA-Based Approach. Computational Economics. 60(3). 833–859. 1 indexed citations
7.
Jebabli, Ikram, Noureddine Kouaissah, & Mohamed El Hédi Arouri. (2021). Volatility Spillovers between Stock and Energy Markets during Crises: A Comparative Assessment between the 2008 Global Financial Crisis and the Covid-19 Pandemic Crisis. Finance research letters. 46. 102363–102363. 136 indexed citations
8.
Jebabli, Ikram & David Roubaud. (2017). Time-varying efficiency in food and energy markets: Evidence and implications. Economic Modelling. 70. 97–114. 13 indexed citations
9.
Jebabli, Ikram, Mohamed El Hédi Arouri, & Frédèric Teulon. (2014). On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility. Energy Economics. 45. 66–98. 132 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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