Oliver Krämer

5.8k total citations · 1 hit paper
94 papers, 2.5k citations indexed

About

Oliver Krämer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Oliver Krämer has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Oliver Krämer's work include Evolutionary Algorithms and Applications (25 papers), Metaheuristic Optimization Algorithms Research (23 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Oliver Krämer is often cited by papers focused on Evolutionary Algorithms and Applications (25 papers), Metaheuristic Optimization Algorithms Research (23 papers) and Advanced Multi-Objective Optimization Algorithms (20 papers). Oliver Krämer collaborates with scholars based in Germany, Finland and United States. Oliver Krämer's co-authors include Heinz Mühlenbein, Justin Heinermann, M. Gorges-Schleuter, Detlev Heinemann, Jan Kühnert, Elke Lorenz, Fabian Gieseke, Rob Leurs, Stefan Oehmcke and Iwan J. P. de Esch and has published in prestigious journals such as International Journal of Molecular Sciences, Expert Systems with Applications and Molecules.

In The Last Decade

Oliver Krämer

89 papers receiving 2.4k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Krämer Germany	22	1.1k	565	421	203	196	94	2.5k
Shimin Li China	19	1.6k 1.5×	492 0.9×	603 1.4×	137 0.7×	125 0.6×	91	3.5k
Lihong Guo China	27	1.2k 1.1×	376 0.7×	524 1.2×	156 0.8×	111 0.6×	83	2.7k
Michael J. Walsh United States	15	1.1k 1.0×	168 0.3×	496 1.2×	141 0.7×	261 1.3×	35	2.4k
Ziyu Wang China	11	1.0k 1.0×	483 0.9×	809 1.9×	146 0.7×	57 0.3×	20	3.7k
Debao Chen China	26	1.1k 1.0×	425 0.8×	612 1.5×	135 0.7×	102 0.5×	114	2.2k
Bobak Shahriari United States	4	1.1k 1.0×	482 0.9×	827 2.0×	145 0.7×	53 0.3×	6	3.4k
Christian Gagné Canada	22	885 0.8×	508 0.9×	287 0.7×	96 0.5×	59 0.3×	99	3.0k
Sumit Singh Chauhan India	3	596 0.5×	508 0.9×	223 0.5×	287 1.4×	81 0.4×	6	2.8k
Yunqian Ma United States	15	1.0k 0.9×	487 0.9×	134 0.3×	102 0.5×	109 0.6×	46	3.4k
Janmenjoy Nayak India	31	1.4k 1.3×	505 0.9×	171 0.4×	153 0.8×	122 0.6×	137	3.3k

Countries citing papers authored by Oliver Krämer

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Krämer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Krämer

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

All Works

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20 of 20 papers shown

1.

Hallek, Michael, et al.. (2025). Allosteric Coupling in Full-Length Lyn Kinase Revealed by Molecular Dynamics and Network Analysis. International Journal of Molecular Sciences. 26(12). 5835–5835.

2.

Krämer, Oliver, et al.. (2022). Design of SARS-CoV-2 Main Protease Inhibitors Using Artificial Intelligence and Molecular Dynamic Simulations. Molecules. 27(13). 4020–4020. 24 indexed citations

3.

Krämer, Oliver, et al.. (2018). Properties of adv-1 - Adversarials of Adversarials.. The European Symposium on Artificial Neural Networks. 2 indexed citations

4.

Heinermann, Justin & Oliver Krämer. (2015). On Heterogeneous Machine Learning Ensembles for Wind Power Prediction.. National Conference on Artificial Intelligence. 6 indexed citations

5.

Krämer, Oliver, et al.. (2015). Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization.. LWA. 108–119. 2 indexed citations

6.

Heinermann, Justin, et al.. (2015). Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction.. The European Symposium on Artificial Neural Networks. 8 indexed citations

7.

Heinemann, Detlev, et al.. (2014). PV Power Predictions on Different Spatial and Temporal Scales Integrating PV Measurements, Satellite Data and Numerical Weather Predictions. 29th European Photovoltaic Solar Energy Conference and Exhibition. 1–24. 12 indexed citations

8.

Krämer, Oliver, et al.. (2014). An Evolutionary Approach to Geo-Planning of Renewable Energies. EnviroInfo. 501–508. 2 indexed citations

9.

Krämer, Oliver, et al.. (2014). Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors. EnviroInfo. 63–68. 2 indexed citations

10.

Krämer, Oliver, et al.. (2013). Machine Learning in Wind Energy Information Systems.. EnviroInfo. 16–24. 1 indexed citations

11.

Polsterer, Kai, Fabian Gieseke, & Oliver Krämer. (2012). Galaxy Classification without Feature Extraction. 461. 561.

12.

Krämer, Oliver, et al.. (2012). Balancing Salience and Unobtrusiveness in Auditory Monitoring of Evolutionary Optimization. Journal of the Audio Engineering Society. 60. 531–539. 1 indexed citations

13.

Krämer, Oliver. (2011). Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. 275–278. 39 indexed citations

14.

Satzger, Benjamin, Oliver Krämer, & Jörg Lässig. (2010). Adaptive Heuristic Estimates for Automated Planning Using Regression.. International Conference on Artificial Intelligence. 576–581. 1 indexed citations

15.

Krämer, Oliver, Benjamin Satzger, & Jörg Lässig. (2010). Managing Energy in a Virtual Power Plant Using Learning Classifier Systems.. 111–117. 4 indexed citations

16.

Krämer, Oliver, et al.. (2010). DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. 503–510. 22 indexed citations

17.

Schultes, Sabine, Chris de Graaf, Eric Haaksma, et al.. (2010). Ligand efficiency as a guide in fragment hit selection and optimization. Drug Discovery Today Technologies. 7(3). e157–e162. 179 indexed citations

18.

Preuß, Mike, et al.. (2010). Learning the track and planning ahead in a car racing controller. 395–402. 21 indexed citations

19.

Krämer, Oliver. (2008). Self-Adaptive Inversion Mutation for Combinatorial Representations.. 3–9. 1 indexed citations

20.

Mühlenbein, Heinz, et al.. (1988). MUPPET: A programming environment for message-based multiprocessors. Parallel Computing. 8(1-3). 201–221. 4 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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