Oliver Krämer

5.8k citations
94 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

    • Evolutionary Algorithms and Applications 25
    • Metaheuristic Optimization Algorithms Research 23
    • Neural Networks and Applications 7
    • Anomaly Detection Techniques and Applications 6
    • Solar Radiation and Photovoltaics 6
    • Advanced Multi-Objective Optimization Algorithms 20

Oliver Krämer

89 papers receiving 2.4k citations

Oliver Krämer's Hit Papers

Genetic Algorithm Essentials 2017 · 337 citations
3370+3+6Years since publication100200300

Peers

Oliver Krämer
Comparison fields: 5 of 186
  • Artificial Intelligence 1.1k
  • Computational Theory and Mathematics 421
  • Industrial and Manufacturing Engineering 203
  • Renewable Energy, Sustainability and the Environment 196
  • Electrical and Electronic Engineering 565
Replace Shimin Li with:
Shimin Li China
Debao Chen China
Songfeng Lu China
Lihong Guo China
Sumit Singh Chauhan India
Christian Gagné Canada
Janmenjoy Nayak India
Feng Zou China
Abd Allah A. Mousa Saudi Arabia
Michael J. Walsh United States
Oliver Krämer relative to Shimin Li China Shimin Li's profile →
Citations per field
00.5×5.8×
Shimin Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Oliver Krämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oliver Krämer Line = papers co-authored together Oliver Krämer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic Algorithm Essentials
Hit paper breakdown →
2017337
2 2013268
3 1988242
4 2015192
5 2016189
6 2010179
7 2016161
8 201098
9 201066
10 201354
11 201751
12 201348
13 198745
14 201139
15 201035
16 201634
17 200630
18 200625
19 202224
20 201724

About Oliver Krämer

Oliver Krämer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 94 papers that have together received 2.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (25 papers), Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (20 papers), Energy Load and Power Forecasting (14 papers), Face and Expression Recognition (13 papers), Neural Networks and Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (421 citations), Industrial and Manufacturing Engineering (203 citations), Renewable Energy, Sustainability and the Environment (196 citations) and Electrical and Electronic Engineering (565 citations). Oliver Krämer has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Heinz Mühlenbein, Justin Heinermann, M. Gorges-Schleuter, Jan Kühnert, Detlev Heinemann, Elke Lorenz, Fabian Gieseke, Stefan Oehmcke, Rob Leurs and Chris de Graaf. Their work appears in journals such as Parallel Computing, Neurocomputing, Evolutionary Intelligence, Soft Computing and Renewable Energy.

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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