Thilo Mahnig

856 citations
16 papers · 692 · h-index 10

Impact in

Papers in

Thilo Mahnig

16 papers receiving 606 citations

Peers

Thilo Mahnig
Comparison fields: 5 of 33
  • Artificial Intelligence 604
  • Computational Theory and Mathematics 59
  • Industrial and Manufacturing Engineering 16
  • Numerical Analysis 4
  • Computer Vision and Pattern Recognition 17
Replace Philippe Collard with:
Philippe Collard France
Scott Davies United States
Juan R. González Spain
Jan Paredis Netherlands
Martin S. Krejca Germany
Frank Vavak United Kingdom
Piet Spiessens Belgium
Jayshree Sarma United States
Doğan Çörüş United Kingdom
Álvaro Rubio‐Largo Spain
Thilo Mahnig relative to Philippe Collard France Philippe Collard's profile →
Citations per field
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Philippe Collard · 1×
Citations per year

Countries citing papers authored by Thilo Mahnig

Since Specialization
Citations

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

Fields of papers citing papers by Thilo Mahnig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Thilo Mahnig, 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 Thilo Mahnig Line = papers co-authored together Thilo Mahnig links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999241
2 1999233
3 200346
4 200141
5
Evolutionary Algorithms and the Boltzmann Distribution.
200222
6 200119
7 200118
8 200218
9 200011
10 200311
11 200310
12 20068
13
Mathematical Analysis of Optimization Methods Using Search Distributions
20004
14 20034
15
Comparing the adaptive Boltzmann selection schedule SDS to truncation selection
20013
16 20033

About Thilo Mahnig

Thilo Mahnig is a scholar working on Artificial Intelligence, Numerical Analysis, Management Science and Operations Research, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 692 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (5 papers), Simulation Techniques and Applications (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (604 citations), Computational Theory and Mathematics (59 citations), Industrial and Manufacturing Engineering (16 citations), Numerical Analysis (4 citations) and Computer Vision and Pattern Recognition (17 citations). Thilo Mahnig has collaborated with scholars based in Cuba and France. Frequent co-authors include Heinz Mühlenbein and Vladimir V. Kureichik. Their work appears in journals such as Evolutionary Computation, Applied Soft Computing, Journal of Heuristics, Lecture notes in computer science and Natural computing series.

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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