Abebe Geletu

450 total citations
27 papers, 322 citations indexed

About

Abebe Geletu is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, Abebe Geletu has authored 27 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Computational Theory and Mathematics. Recurrent topics in Abebe Geletu's work include Probabilistic and Robust Engineering Design (10 papers), Advanced Control Systems Optimization (9 papers) and Fuzzy Systems and Optimization (8 papers). Abebe Geletu is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Advanced Control Systems Optimization (9 papers) and Fuzzy Systems and Optimization (8 papers). Abebe Geletu collaborates with scholars based in Germany, Rwanda and South Africa. Abebe Geletu's co-authors include Pu Li, Armin Hoffmann, Hui Zhang and Aouss Gabash and has published in prestigious journals such as European Journal of Operational Research, Industrial & Engineering Chemistry Research and Applied Sciences.

In The Last Decade

Abebe Geletu

25 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abebe Geletu Germany 10 162 75 61 59 50 27 322
Bart P. G. Van Parys United States 7 112 0.7× 97 1.3× 42 0.7× 41 0.7× 19 0.4× 16 260
Soroosh Shafieezadeh-Abadeh Switzerland 8 62 0.4× 94 1.3× 33 0.5× 15 0.3× 31 0.6× 15 254
Derya B. Özyurt United States 6 166 1.0× 20 0.3× 39 0.6× 14 0.2× 29 0.6× 6 328
F. Javier Toledo Spain 14 99 0.6× 44 0.6× 47 0.8× 223 3.8× 142 2.8× 34 637
Thordur Runolfsson United States 10 263 1.6× 11 0.1× 41 0.7× 56 0.9× 34 0.7× 48 427
Samarth Gupta India 8 111 0.7× 67 0.9× 110 1.8× 28 0.5× 139 2.8× 37 456
Andreas Eichhorn Germany 13 42 0.3× 124 1.7× 17 0.3× 147 2.5× 14 0.3× 39 375
Wojciech Cholewa Poland 5 191 1.2× 53 0.7× 25 0.4× 15 0.3× 31 0.6× 17 322
Sean P. Kenny United States 12 153 0.9× 91 1.2× 417 6.8× 11 0.2× 195 3.9× 50 560
Yeboon Yun Japan 6 44 0.3× 45 0.6× 29 0.5× 18 0.3× 85 1.7× 28 227

Countries citing papers authored by Abebe Geletu

Since Specialization
Citations

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

Fields of papers citing papers by Abebe Geletu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abebe Geletu

This figure shows the co-authorship network connecting the top 25 collaborators of Abebe Geletu. A scholar is included among the top collaborators of Abebe Geletu 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 Abebe Geletu. Abebe Geletu 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.
Geletu, Abebe, et al.. (2025). Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model. Journal of Applied Mathematics. 2025(1). 2 indexed citations
2.
Geletu, Abebe, et al.. (2024). Novel Ordinary Differential Equation for State-of-Charge Simulation of Rechargeable Lithium-Ion Battery. Applied Sciences. 14(12). 5284–5284. 1 indexed citations
3.
Geletu, Abebe, et al.. (2024). Corruption dynamics: a mathematical model and analysis. Frontiers in Applied Mathematics and Statistics. 10. 1 indexed citations
4.
Geletu, Abebe, et al.. (2020). A Computation Approach to Chance Constrained Optimization of Boundary-Value Parabolic Partial Differential Equation Systems. IFAC-PapersOnLine. 53(2). 2435–2440. 1 indexed citations
5.
Geletu, Abebe, et al.. (2019). Chance constrained optimization of elliptic PDE systems with a smoothing convex approximation. ESAIM Control Optimisation and Calculus of Variations. 26. 70–70. 17 indexed citations
6.
Geletu, Abebe, Armin Hoffmann, & Pu Li. (2019). Analytic approximation and differentiability of joint chance constraints. Optimization. 68(10). 1985–2023. 6 indexed citations
7.
Geletu, Abebe, et al.. (2018). Stochastische Optimierung parabolischer PDE-Systeme unter Wahrscheinlichkeitsrestriktionen am Beispiel der Temperaturregelung eines Stabes. at - Automatisierungstechnik. 66(11). 975–985. 4 indexed citations
8.
Geletu, Abebe, et al.. (2018). An Approach to Determining the Number of Time Intervals for Solving Dynamic Optimization Problems. Industrial & Engineering Chemistry Research. 57(12). 4340–4350. 6 indexed citations
9.
Geletu, Abebe, et al.. (2017). An Inner-Outer Approximation Approach to Chance Constrained Optimization. SIAM Journal on Optimization. 27(3). 1834–1857. 40 indexed citations
10.
Geletu, Abebe, et al.. (2015). A Toolchain for Solving Dynamic Optimization Problems Using Symbolic and Parallel Computing. Linköping electronic conference proceedings. 118. 311–320. 1 indexed citations
11.
Geletu, Abebe, et al.. (2015). A soft-constrained optimization approach for model predictive control of multi-agent systems. IFAC-PapersOnLine. 48(25). 16–21. 2 indexed citations
12.
Geletu, Abebe, et al.. (2015). An Analytical Hessian and Parallel-Computing Approach for Efficient Dynamic Optimization Based on Control-Variable Correlation Analysis. Industrial & Engineering Chemistry Research. 54(48). 12086–12095. 17 indexed citations
13.
Geletu, Abebe, et al.. (2014). A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties. Engineering Optimization. 47(4). 495–520. 32 indexed citations
14.
Geletu, Abebe & Pu Li. (2014). Recent Developments in Computational Approaches to Optimization under Uncertainty and Application in Process Systems Engineering. ChemBioEng Reviews. 1(4). 170–190. 13 indexed citations
15.
Geletu, Abebe, et al.. (2011). Monotony analysis and sparse-grid integration for nonlinear chance constrained process optimization. Engineering Optimization. 43(10). 1019–1041. 15 indexed citations
16.
Geletu, Abebe, et al.. (2011). Using Sparse-Grid Methods To Improve Computation Efficiency in Solving Dynamic Nonlinear Chance-Constrained Optimization Problems. Industrial & Engineering Chemistry Research. 50(9). 5693–5704. 18 indexed citations
17.
Geletu, Abebe, et al.. (2010). Evaluating integration approaches to robust process optimization and control using chance constrained programming. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1079–1084. 1 indexed citations
18.
Geletu, Abebe. (2007). Solving Optimization Problems using the Matlab Optimization Toolbox - a Tutorial. 32 indexed citations
19.
Geletu, Abebe & Armin Hoffmann. (2005). On robustness of set-valued maps and marginal value functions. 25(1). 59–59. 1 indexed citations
20.
Geletu, Abebe & Armin Hoffmann. (2003). A conceptual method for solving generalized semi-infinite programming problems via global optimization by exact discontinuous penalization. European Journal of Operational Research. 157(1). 3–15. 18 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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