Andreas Lachenmann

626 citations
16 papers · 318 · h-index 9

Impact in

Papers in

Andreas Lachenmann

16 papers receiving 286 citations

Peers

Andreas Lachenmann
Comparison fields: 5 of 43
  • Computer Networks and Communications 251
  • Computer Vision and Pattern Recognition 110
  • Human-Computer Interaction 15
  • Hardware and Architecture 17
  • Electrical and Electronic Engineering 109
Replace Porlin Kang with:
Porlin Kang United States
Oliver Kasten Switzerland
Matthias Gauger Germany
Faruk Bagci Germany
Kaisen Lin United States
Matthias Ringwald Switzerland
M.J. Lee United States
N. Sriskanthan Singapore
Chanmin Yoon South Korea
Neal Jackson United States
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Citations per field
00.5×2.7×
Porlin Kang · 1×
Citations per year

Countries citing papers authored by Andreas Lachenmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Lachenmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Andreas Lachenmann, 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 Andreas Lachenmann Line = papers co-authored together Andreas Lachenmann links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200571
2 200755
3 200349
4 200529
5
TinyCubus: An Adaptive Cross-Layer Framework for Sensor Networks
200522
6 200821
7 200518
8
Experimental construction of a meeting model for smart office environments
200512
9 200710
10 20057
11 20057
12 20076
13 20065
14 20083
15
Coordinated group adaptation in sensor networks
20072
16 20091

About Andreas Lachenmann

Andreas Lachenmann is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering, Electrical and Electronic Engineering and Hardware and Architecture, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (14 papers), Context-Aware Activity Recognition Systems (8 papers), Modular Robots and Swarm Intelligence (6 papers), Energy Harvesting in Wireless Networks (3 papers), IoT and Edge/Fog Computing (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Mobile Ad Hoc Networks (2 papers) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Computer Networks and Communications (251 citations), Computer Vision and Pattern Recognition (110 citations), Human-Computer Interaction (15 citations), Hardware and Architecture (17 citations) and Electrical and Electronic Engineering (109 citations). Andreas Lachenmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Daniel Minder, Pedro José Marrón, Kurt Rothermel, Matthias Gauger, Gregory D. Abowd, Jörg Hähner, Robert Sauter, Olga Saukh, Arno Wacker and Christian Becker. Their work appears in journals such as ACM Transactions on Sensor Networks, International Journal of Network Management, ACM SIGOPS Operating Systems Review, it - Information Technology and Information technology newsletter.

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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