David Greiner

893 total citations
38 papers, 519 citations indexed

About

David Greiner is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, David Greiner has authored 38 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 10 papers in Civil and Structural Engineering and 6 papers in Artificial Intelligence. Recurrent topics in David Greiner's work include Advanced Multi-Objective Optimization Algorithms (16 papers), Topology Optimization in Engineering (10 papers) and Metaheuristic Optimization Algorithms Research (6 papers). David Greiner is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (16 papers), Topology Optimization in Engineering (10 papers) and Metaheuristic Optimization Algorithms Research (6 papers). David Greiner collaborates with scholars based in Spain, Portugal and Finland. David Greiner's co-authors include G. Winter, Blas Galván, Jacques Périaux, Juan J. Aznárez, Orlando Maeso, António Gaspar‐Cunha, Nicolas R. Gauger, Kyriakos C. Giannakoglou, Prabhat Hajela and J. Méndez and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

David Greiner

36 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Greiner Spain 15 160 133 91 72 68 38 519
Xiaowei Yue United States 18 88 0.6× 81 0.6× 90 1.0× 49 0.7× 102 1.5× 55 796
Mohammadreza Davoodi Iran 18 56 0.3× 166 1.2× 134 1.5× 33 0.5× 22 0.3× 82 1.3k
Yongsu Jung South Korea 13 200 1.3× 222 1.7× 49 0.5× 19 0.3× 226 3.3× 25 662
Josep M. Rossell Spain 20 117 0.7× 523 3.9× 34 0.4× 30 0.4× 144 2.1× 92 1.2k
Tingli Xie China 14 110 0.7× 60 0.5× 108 1.2× 137 1.9× 115 1.7× 34 727
Saeed Asil Gharebaghi Iran 12 69 0.4× 185 1.4× 127 1.4× 22 0.3× 21 0.3× 30 583
A. Rachid France 17 51 0.3× 40 0.3× 85 0.9× 108 1.5× 19 0.3× 127 1.2k
Hishamuddin Jamaluddin Malaysia 17 31 0.2× 170 1.3× 240 2.6× 54 0.8× 125 1.8× 71 1.1k
Sergio García-Nieto Spain 16 62 0.4× 27 0.2× 51 0.6× 75 1.0× 19 0.3× 49 606
Ren‐Jye Yang United States 18 257 1.6× 321 2.4× 38 0.4× 28 0.4× 347 5.1× 51 788

Countries citing papers authored by David Greiner

Since Specialization
Citations

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

Fields of papers citing papers by David Greiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Greiner

This figure shows the co-authorship network connecting the top 25 collaborators of David Greiner. A scholar is included among the top collaborators of David Greiner 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 David Greiner. David Greiner 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.
Miguel, Ángel Ramos de, et al.. (2025). A computational model for multiobjective optimization of multipolar stimulation in cochlear implants: An enhanced focusing approach. Expert Systems with Applications. 280. 127472–127472.
2.
Greiner, David, et al.. (2024). Enhancing the maintenance strategy and cost in systems with surrogate assisted multiobjective evolutionary algorithms. Developments in the Built Environment. 19. 100478–100478. 1 indexed citations
3.
Greiner, David, et al.. (2024). Design and Maintenance Optimisation of Substation Automation Systems: A Multiobjectivisation Approach Exploration. Journal of Engineering. 2024(1). 1 indexed citations
4.
Greiner, David, et al.. (2023). Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation. Soft Computing. 27(24). 19213–19246. 3 indexed citations
5.
Miguel, Ángel Ramos de, et al.. (2022). A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses. PLoS Computational Biology. 18(5). e1010134–e1010134. 2 indexed citations
6.
7.
Greiner, David, María Isabel Asensio Sevilla, & R. Montenegro. (2021). Numerical Simulation in Physics and Engineering: Trends and Applications. Acceda (Universidad de Las Palmas de Gran Canaria). 2 indexed citations
8.
Montero, G., et al.. (2020). A Phenomenological Epidemic Model Based On the Spatio-Temporal Evolution of a Gaussian Probability Density Function. Mathematics. 8(11). 2000–2000. 4 indexed citations
9.
Gaspar‐Cunha, António, et al.. (2020). Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Acceda (Universidad de Las Palmas de Gran Canaria). 47 indexed citations
10.
Lucas, Carlos, Daniel Hernández-Sosa, David Greiner, Aleš Zamuda, & Rui Caldeira. (2019). An Approach to Multi-Objective Path Planning Optimization for Underwater Gliders. Sensors. 19(24). 5506–5506. 17 indexed citations
11.
Miguel, Ángel Ramos de, J.M. Escobar, David Greiner, & Ángel Ramos‐Macías. (2018). A multiobjective optimization procedure for the electrode design of cochlear implants. International Journal for Numerical Methods in Biomedical Engineering. 34(8). e2992–e2992. 4 indexed citations
12.
Aznárez, Juan J., et al.. (2017). A methodology for the multi-objective shape optimization of thin noise barriers. Applied Mathematical Modelling. 50. 656–675. 13 indexed citations
13.
Greiner, David, et al.. (2015). Simulación de procesos químicos mediante algoritmos evolutivos: aplicación al ajuste de parámetros de impedancia en sistemas electroquímicos. Afinidad. 72(572). 278–283. 3 indexed citations
14.
González, Francisco, et al.. (2015). Chemical process simulation using evolutionary algorithms: application to the analysis of impedance parameters of electrochemical systems. 1 indexed citations
15.
Deb, Kalyanmoy, Sunith Bandaru, David Greiner, António Gaspar‐Cunha, & Cem C. Tutum. (2013). An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering. Applied Soft Computing. 15. 42–56. 51 indexed citations
16.
Méndez, J. & David Greiner. (2009). Wind Blade Chord and Twist Angle Optimization Using Genetic Algorithms. Civil-comp proceedings. 84. 26 indexed citations
17.
Greiner, David, et al.. (2009). Robust Design of Frames under Uncertain Loads by Multiobjective Genetic Algorithms. Civil-comp proceedings. 83. 1 indexed citations
18.
Greiner, David, Juan J. Aznárez, Orlando Maeso, & G. Winter. (2009). Shape Design of Noise Barriers Using Evolutionary Optimization and Boundary Elements. Civil-comp proceedings. 6 indexed citations
19.
Winter, G., et al.. (2004). A Flexible Evolutionary Agent: cooperation and competition among real-coded evolutionary operators. Soft Computing. 9(4). 299–323. 4 indexed citations
20.
Greiner, David, et al.. (1967). The degradation of 2,4-D in forest litter. Bulletin of Environmental Contamination and Toxicology. 2(2). 65–74. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xiaowei Yue Breakdown of academic impact, for papers by Mohammadreza Davoodi Breakdown of academic impact, for papers by Yongsu Jung Breakdown of academic impact, for papers by Josep M. Rossell Breakdown of academic impact, for papers by Tingli Xie Breakdown of academic impact, for papers by Saeed Asil Gharebaghi Breakdown of academic impact, for papers by A. Rachid Breakdown of academic impact, for papers by Hishamuddin Jamaluddin Breakdown of academic impact, for papers by Sergio García-Nieto Breakdown of academic impact, for papers by Ren‐Jye Yang
Rankless by CCL
2026