Lars Nolle

1.1k citations
105 papers · 859 · h-index 13

Impact in

Papers in

Lars Nolle

96 papers receiving 793 citations

Peers

Lars Nolle
Comparison fields: 5 of 114
  • Artificial Intelligence 354
  • Computational Theory and Mathematics 137
  • Industrial and Manufacturing Engineering 70
  • Computer Vision and Pattern Recognition 117
  • Signal Processing 52
Replace Babak E. Cohanim with:
Babak E. Cohanim United States
Jinsha Yuan China
Jhm Jan Korst Netherlands
E. Alper Yıldırım Türkiye
Hongjun Wang China
Matthias Steinbrecher Germany
Ahmed Ali Abdalla Esmin Brazil
Lars Nolle relative to Babak E. Cohanim United States Babak E. Cohanim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lars Nolle

Since Specialization
Citations

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

Fields of papers citing papers by Lars Nolle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lars Nolle, 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 Lars Nolle Line = papers co-authored together Lars Nolle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hybrid Genetic Algorithms: A Review
2006225
2 200551
3 200233
4
Boolean symmetry function synthesis by means of arbitrary evolutionary algorithms - comparative study
200432
5 201023
6 200123
7
Performance of hybrid genetic algorithms incorporating local search
200422
8 201119
9 201319
10 201317
11 200617
12 200616
13
SIMULATED ANNEALING AND GENETIC ALGORITHMS APPLIED TO FINISHING MILL OPTIMISATION FOR HOT ROLLING OF WIDE STEEL STRIP
200213
14 199913
15 200413
16 200213
17 200712
18 201112
19 200712
20
On the effect of step width selection schemes on the performance of stochastic local search strategies
200411

About Lars Nolle

Lars Nolle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Ocean Engineering, having authored 105 papers that have together received 859 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Color Science and Applications (8 papers), Underwater Vehicles and Communication Systems (8 papers), Plasma Diagnostics and Applications (6 papers), Optimization and Search Problems (6 papers) and Metallurgy and Material Forming (5 papers). The work is most often cited by research in Artificial Intelligence (354 citations), Computational Theory and Mathematics (137 citations), Industrial and Manufacturing Engineering (70 citations), Computer Vision and Pattern Recognition (117 citations) and Signal Processing (52 citations). Lars Nolle has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Adrian A. Hopgood, Tarek A. El-Mihoub, Ivan Zelinka, Gerald Schaefer, Alec Goodyear, Philip D. Picton, Zuzana Komínková Oplatková, Abdullah Alabdulatif, Xiaoqi Ma and Oliver Zielinski. Their work appears in journals such as Knowledge-Based Systems, Engineering Optimization, Lecture notes in computer science, Plasma Sources Science and Technology and Advances in Engineering Software.

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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