Lukas Esterle

1.4k citations
90 papers · 1.0k · h-index 17

Impact in

Papers in

Lukas Esterle

80 papers receiving 981 citations

Peers

Lukas Esterle
Comparison fields: 5 of 79
  • Computer Networks and Communications 449
  • Health Informatics 18
  • Artificial Intelligence 379
  • Industrial and Manufacturing Engineering 108
  • Computer Vision and Pattern Recognition 220
Replace Kaidi Xu with:
Kaidi Xu United States
Tianwei Zhang China
Péter Bertök Australia
Sathiamoorthy Manoharan New Zealand
Dayong Ye Australia
Paulo J. S. Gonçalves Portugal
Diederik M. Roijers Netherlands
Camelia-M. Pintea Romania
Raúl Monroy Mexico
Thanassis Giannetsos Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Lukas Esterle

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Esterle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201786
3 201561
4 201456
5 201639
6 202036
7 202030
8 201830
9 201128
10 201526
11 201226
12 201425
13 201524
14 201321
15 202120
16
Distributed resource-aware task assignment for complex monitoring scenarios in Visual Sensor Networks
201218
17 202317
18 201716
19 201316
20 201214

About Lukas Esterle

Lukas Esterle is a scholar working on Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (19 papers), Digital Transformation in Industry (11 papers), Software System Performance and Reliability (10 papers), Flexible and Reconfigurable Manufacturing Systems (10 papers), Modular Robots and Swarm Intelligence (9 papers), Distributed Control Multi-Agent Systems (9 papers), Distributed systems and fault tolerance (8 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (449 citations), Health Informatics (18 citations), Artificial Intelligence (379 citations), Industrial and Manufacturing Engineering (108 citations) and Computer Vision and Pattern Recognition (220 citations). Lukas Esterle has collaborated with scholars based in Denmark, United Kingdom and Austria. Frequent co-authors include Peter R. Lewis, Bernhard Rinner, Xin Yao, Kirstie L. Bellman, Radu Grosu, Ada Diaconescu, Arjun Chandra, Holger Giese, Claudio Piciarelli and Gian Luca Foresti. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Cyber-Physical Systems, IEEE Technology and Society Magazine, ACM Transactions on Sensor Networks and Computer.

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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