Jörg Lässig

911 citations
74 papers · 621 · h-index 14

Impact in

Papers in

Jörg Lässig

67 papers receiving 604 citations

Peers

Jörg Lässig
Comparison fields: 5 of 86
  • Computational Theory and Mathematics 179
  • Artificial Intelligence 356
  • Industrial and Manufacturing Engineering 86
  • Soil Science 41
  • Computer Networks and Communications 93
Replace Hojjat Emami with:
Hojjat Emami Iran
Juan Frausto–Solís Mexico
Oliviu Matei Romania
Jácint Szabó Hungary
Aybars Uğur Türkiye
Proteek Chandan Roy United States
Marcelo Teixeira Brazil
A. Wayne Wymore United States
Hongyu Lin China
Cyril Fonlupt France
Jörg Lässig relative to Hojjat Emami Iran Hojjat Emami's profile →
Citations per field
00.5×10×20×28.5×
Hojjat Emami · 1×
Citations per year

Countries citing papers authored by Jörg Lässig

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Lässig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201157
3 201551
4 201647
5 201336
6 201335
7 201028
8 201627
9 201025
10 201021
11 201116
12 202414
13 201614
14 201414
15 201212
16 201011
17 201510
18 20099
19 20149
20 20058

About Jörg Lässig

Jörg Lässig is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Information Systems, having authored 74 papers that have together received 621 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (22 papers), Evolutionary Algorithms and Applications (15 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Cloud Computing and Resource Management (9 papers), Vehicle Routing Optimization Methods (7 papers), Optimization and Search Problems (5 papers), Scheduling and Optimization Algorithms (5 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Computational Theory and Mathematics (179 citations), Artificial Intelligence (356 citations), Industrial and Manufacturing Engineering (86 citations), Soil Science (41 citations) and Computer Networks and Communications (93 citations). Jörg Lässig has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Dirk Sudholt, Thomas Weise, Raymond Chiong, Marius Kloft, Debal Deb, Kristian Kersting, Katharina Morik, Ke Tang, Oliver Krämer and Benjamin Satzger. Their work appears in journals such as Soft Computing, Evolutionary Computation, Theoretical Computer Science, Agroecology and Sustainable Food Systems and IEEE Computational Intelligence Magazine.

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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