Martin Strohbach

801 citations
15 papers · 136 · h-index 7

Impact in

Papers in

Martin Strohbach

15 papers receiving 124 citations

Peers

Martin Strohbach
Comparison fields: 5 of 38
  • Computer Networks and Communications 75
  • Human-Computer Interaction 12
  • Signal Processing 16
  • Transportation 10
  • Artificial Intelligence 44
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Ahmed Salem United States
Wolfgang Trumler Germany
Mercedes Amor Spain
Thomas Silverston Japan
Nour Mahmoud Bahbouh Saudi Arabia
Zhu Xiao-gang China
Abdelrahman H. Hussein Jordan
Gökçe Görbil United Kingdom
Adam Pridgen United States
Porlin Kang United States
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Citations per field
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Citations per year

Countries citing papers authored by Martin Strohbach

Since Specialization
Citations

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

Fields of papers citing papers by Martin Strohbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Self-organization in ad hoc sensor networks: an empirical study
200231
2 201719
3 201117
4 201815
5 201812
6
Cooperative Artefacts - A Framework for Embedding Knowledge in Real World Objects
200512
7 20097
8 20076
9 20134
10
Gesture-based interface reconfiguration
20043
11 20193
12 20162
13
Health and Safety Compliance in the Field
20062
14 20172
15 20041

About Martin Strohbach

Martin Strohbach is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Mechanical Engineering and Electrical and Electronic Engineering, having authored 15 papers that have together received 136 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), IoT and Edge/Fog Computing (5 papers), Modular Robots and Swarm Intelligence (4 papers), Data Management and Algorithms (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Interactive and Immersive Displays (2 papers), Advanced Database Systems and Queries (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Networks and Communications (75 citations), Human-Computer Interaction (12 citations), Signal Processing (16 citations), Transportation (10 citations) and Artificial Intelligence (44 citations). Martin Strohbach has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Kristof Van Laerhoven, Holger Ziekow, Vincenzo Gulisano, Zbigniew Jerzak, Hans Gellersen, Gerd Kortuem, Martin Bauer, Dimitris Zissis, П. Р. Смирнов and Christian Kray. Their work appears in journals such as Journal of Sensor and Actuator Networks, IEEE Vehicular Technology Magazine, IEEE Pervasive Computing, Computer Science - Research and Development and Repository of Futwangen University of Applied Sciences (Furtwangen University).

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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