Lukas Esterle

1.3k citations
63 papers · 677 indexed · h-index 15

Impact in

Papers in

Lukas Esterle

59 papers receiving 657 citations

Peers

Lukas Esterle
Comparison fields: 5 of 77
  • Computer Networks and Communications 301
  • Health Informatics 14
  • Industrial and Manufacturing Engineering 75
  • Computer Vision and Pattern Recognition 154
  • Artificial Intelligence 210
Replace Xuan‐Qui Pham with:
Xuan‐Qui Pham South Korea
Ramgopal Kashyap India
Matthias R. Brust Luxembourg
Feifei Shi China
Wei Chong Ng Singapore
Siva Sai India
Keshav Kaushik India
Stuart Russell United States
Raúl Monroy Mexico
Diederik M. Roijers Netherlands
Lukas Esterle relative to Xuan‐Qui Pham South Korea Xuan‐Qui Pham's profile →
Citations per field
00.5×3.8×
Xuan‐Qui Pham · 1×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 201556
3 201446
4 202033
5 201829
6 201629
7 202027
8 201524
9 201224
10 201122
11 201421
12 201319
13
Distributed resource-aware task assignment for complex monitoring scenarios in Visual Sensor Networks
201218
14 201517
15 201714
16 202114
17 201213
18 202313
19 201712
20 201811

About Lukas Esterle

Lukas Esterle is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Instrumentation, having authored 63 papers that have together received 677 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (10 papers), Distributed Control Multi-Agent Systems (8 papers), Modular Robots and Swarm Intelligence (8 papers), Software System Performance and Reliability (7 papers), Digital Transformation in Industry (6 papers), IoT and Edge/Fog Computing (6 papers), Video Surveillance and Tracking Methods (6 papers) and Flexible and Reconfigurable Manufacturing Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (301 citations), Health Informatics (14 citations), Industrial and Manufacturing Engineering (75 citations), Computer Vision and Pattern Recognition (154 citations) and Artificial Intelligence (210 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, Radu Grosu, Arjun Chandra, Asif Khan, Gian Luca Foresti, Claudio Piciarelli, Kirstie L. Bellman and Bernhard Dieber. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, ACM Transactions on Cyber-Physical Systems, Robotics and Autonomous Systems, ACM Transactions on Sensor Networks and IEEE Transactions on Circuits and Systems for Video Technology.

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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