Lars Nolle

1.1k citations
102 papers · 840 · h-index 14

Impact in

Papers in

Lars Nolle

93 papers receiving 768 citations

Peers

Lars Nolle
Comparison fields: 5 of 115
  • Artificial Intelligence 341
  • Computational Theory and Mathematics 131
  • Industrial and Manufacturing Engineering 68
  • Computer Vision and Pattern Recognition 115
  • Signal Processing 51
Replace Babak E. Cohanim with:
Babak E. Cohanim United States
Jinsha Yuan China
Qi Wu China
Xing Cai China
Hongjun Wang China
Matthias Steinbrecher Germany
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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 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hybrid Genetic Algorithms: A Review
2006228
2 200551
3 200432
4 200232
5 201023
6 200123
7
Performance of hybrid genetic algorithms incorporating local search
200422
8 201319
9 200617
10 201117
11 201316
12 200615
13
Simulated annealing and genetic algorithms applied to finishing mill optimisation for hot rolling of wide steel strip
200214
14 200213
15 200413
16 199913
17 200712
18 200712
19
On the effect of step width selection schemes on the performance of stochastic local search strategies
200411
20 202010

About Lars Nolle

Lars Nolle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 102 papers that have together received 840 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), Underwater Vehicles and Communication Systems (8 papers), Color Science and Applications (8 papers), Optimization and Search Problems (6 papers), Plasma Diagnostics and Applications (6 papers) and Metallurgy and Material Forming (5 papers). The work is most often cited by research in Artificial Intelligence (341 citations), Computational Theory and Mathematics (131 citations), Industrial and Manufacturing Engineering (68 citations), Computer Vision and Pattern Recognition (115 citations) and Signal Processing (51 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, A. Goodyear, Gerald Schaefer, Zuzana Komínková Oplatková, Philip Picton, 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 International Journal of Bio-Inspired Computation.

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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