Eugène Kouassi

645 total citations
29 papers, 372 citations indexed

About

Eugène Kouassi is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Eugène Kouassi has authored 29 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 7 papers in General Economics, Econometrics and Finance and 5 papers in Finance. Recurrent topics in Eugène Kouassi's work include Spatial and Panel Data Analysis (8 papers), Monetary Policy and Economic Impact (7 papers) and Fiscal Policy and Economic Growth (4 papers). Eugène Kouassi is often cited by papers focused on Spatial and Panel Data Analysis (8 papers), Monetary Policy and Economic Impact (7 papers) and Fiscal Policy and Economic Growth (4 papers). Eugène Kouassi collaborates with scholars based in Ivory Coast, United States and Canada. Eugène Kouassi's co-authors include Antonio Estache, Walter C. Labys, Jeff B.Cromwell, Aklesso Y. G. Egbendéwé, Michel Terraza, Tiago Correia, Yansui Liu, Vijay Kumar Chattu, Arcadio A. Cerda and Nguyễn Thị Kim Chúc and has published in prestigious journals such as Computational Statistics & Data Analysis, Agricultural Economics and Applied Economics.

In The Last Decade

Eugène Kouassi

24 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugène Kouassi Ivory Coast 9 210 100 68 58 51 29 372
Mohsen Mehrara Iran 12 327 1.6× 92 0.9× 53 0.8× 13 0.2× 55 1.1× 71 465
Douglas G. Steigerwald United States 12 277 1.3× 176 1.8× 208 3.1× 10 0.2× 20 0.4× 31 571
Markus Ludwig Germany 13 115 0.5× 38 0.4× 54 0.8× 10 0.2× 18 0.4× 24 349
Giuseppe De Luca Italy 12 156 0.7× 65 0.7× 48 0.7× 4 0.1× 50 1.0× 28 397
Maria Isabel Pedro Portugal 10 184 0.9× 24 0.2× 30 0.4× 27 0.5× 104 2.0× 36 491
Theologos Pantelidis Greece 12 576 2.7× 96 1.0× 143 2.1× 13 0.2× 86 1.7× 22 666
Debdulal Mallick Australia 10 298 1.4× 108 1.1× 31 0.5× 8 0.1× 78 1.5× 34 473
Debasish Kumar Das Bangladesh 11 110 0.5× 42 0.4× 26 0.4× 13 0.2× 12 0.2× 29 376
Denisard Alves Brazil 9 186 0.9× 59 0.6× 27 0.4× 7 0.1× 33 0.6× 22 332
Punam Chuhan-Pole United States 8 79 0.4× 114 1.1× 16 0.2× 5 0.1× 20 0.4× 17 303

Countries citing papers authored by Eugène Kouassi

Since Specialization
Citations

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

Fields of papers citing papers by Eugène Kouassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugène Kouassi

This figure shows the co-authorship network connecting the top 25 collaborators of Eugène Kouassi. A scholar is included among the top collaborators of Eugène Kouassi 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 Eugène Kouassi. Eugène Kouassi 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.
Kouassi, Eugène, et al.. (2025). Best linear unbiased prediction in the two-way error components model with AR (1) error processes. Communications in Statistics - Simulation and Computation. 1–23.
2.
Kouassi, Eugène, et al.. (2024). Revisiting oil-stock nexus in the time of health crisis: a wavelet approach. International Journal of Emerging Markets. 20(11). 4450–4475.
3.
Jakovljević, Mihajlo, Yansui Liu, Arcadio A. Cerda, et al.. (2021). The Global South political economy of health financing and spending landscape – history and presence. Journal of Medical Economics. 24(sup1). 25–33. 75 indexed citations
4.
Kouassi, Eugène, et al.. (2020). The democracy income‐growth nexus in the southern African development community revisited. International Journal of Finance & Economics. 26(2). 1835–1854.
5.
Mougoué, Mbodja, et al.. (2020). Effects of diamond price volatility on stock returns: Evidence from a developing economy. International Journal of Finance & Economics. 27(1). 1025–1043. 1 indexed citations
6.
Kouassi, Eugène, et al.. (2018). Unemployment Persistence Insouthern African Countries: Further Evidence from Panel Unit Root Tests. Studies in Economics and Econometrics. 42(1). 115–134. 1 indexed citations
7.
Kouassi, Eugène, et al.. (2017). APPLICATION D’UN MODÈLE STATISTIQUE A LA SIMULATION DE LA CONDUCTIVITÉ ÉLECTRIQUE DES EAUX SOUTERRAINES: CAS DE L’EX-RÉGION DU N’ZI-COMOÉ (CENTRE-EST DE LA COTE D’IVOIRE). Larhyss journal. 14(4). 47–69. 1 indexed citations
8.
Kouassi, Eugène, et al.. (2017). Health expenditure and growth dynamics in the SADC region: evidence from non-stationary panel data with cross section dependence and unobserved heterogeneity. International Journal of Health Economics and Management. 18(1). 47–66. 18 indexed citations
9.
Kouassi, Eugène. (2016). Asymptotic Properties of Pesaran's CD Test Revisited. Economics bulletin. 36(4). 2569–2578. 4 indexed citations
10.
Kouassi, Eugène, et al.. (2014). A Joint Score Test for Heteroscedasticity in the Two Way Error Components Model. Communication in Statistics- Theory and Methods. 43(13). 2734–2751. 1 indexed citations
11.
Kouassi, Eugène, et al.. (2013). Testing for heteroskedasticity and spatial correlation in a two way random effects model. Computational Statistics & Data Analysis. 70. 153–171. 1 indexed citations
12.
Schaeffer, Peter V. & Eugène Kouassi. (2013). Econometric Methods for Analyzing Economic Development. Advances in finance, accounting, and economics book series. 8 indexed citations
13.
Salisu, Afees A., et al.. (2012). Testing for Cross-Sectional Dependence in a RandomEffects Model. Open Journal of Statistics. 2(1). 88–97. 1 indexed citations
14.
Kouassi, Eugène, et al.. (2010). Prediction from the regression model with two-way error components. Journal of Forecasting. 30(6). 541–564. 3 indexed citations
15.
Kouassi, Eugène, et al.. (2008). Prediction in the two‐way random‐effect model with heteroskedasticity. Journal of Forecasting. 27(5). 451–463. 2 indexed citations
16.
Kouassi, Eugène, et al.. (2004). Causality tests of the relationship between the twin deficits. Empirical Economics. 29(3). 72 indexed citations
17.
Estache, Antonio & Eugène Kouassi. (2002). Sector Organization, Governance, and the Inefficiency of African Water Utilities. World Bank, Washington, DC eBooks. 87 indexed citations
18.
Labys, Walter C., Eugène Kouassi, & Michel Terraza. (2000). SHORT‐TERM CYCLES IN PRIMARY COMMODITY PRICES. The Developing Economies. 38(3). 330–342. 15 indexed citations
19.
20.
Kouassi, Eugène, Bernard Decaluwé, & Dale Colyer. (1998). Is it real? The long-run relation between terms of trade and current account deficits: the Ivory evidence. Applied Economics Letters. 5(7). 437–440. 5 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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