Ruben Stranders

655 citations
17 papers · 391 indexed · h-index 10
Journals
Artificial Intelligence (2 papers)Adaptive Agents and Multi-Agents Systems (5 papers)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)

In The Last Decade

Ruben Stranders

17 papers receiving 373 citations

Peers

Ruben Stranders
Comparison fields: 5 of 45
  • Computer Networks and Communications 291
  • Signal Processing 98
  • Management Science and Operations Research 88
  • Computer Science Applications 27
  • Artificial Intelligence 150
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Claude-Guy Quimper Canada
Guangquan Xu China
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Citations per year

Countries citing papers authored by Ruben Stranders

Since Specialization
Citations

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

Fields of papers citing papers by Ruben Stranders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Ruben Stranders, 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 Ruben Stranders Line = papers co-authored together Ruben Stranders links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20137
2 20139
3 201214
4 201232
5 20124
6
CollabMap: augmenting maps using the wisdom of crowds
20116
7 201122
8 20114
9 201150
10 20103
11 201097
12
A Decentralised Coordination Algorithm for Maximising Sensor Coverage in Large Sensor Networks
20101
13 201015
14 200929
15
Decentralised coordination of mobile sensors using the max-sum algorithm
200982
16
Coordinating Teams of Mobile Sensors for Monitoring Environmental Phenomena
20092
17
A Decentralized, On-line Coordination Mechanism for Monitoring Spatial Phenomena with Mobile Sensors
200814

About Ruben Stranders

Ruben Stranders is a scholar working on Computer Science Applications, Computer Networks and Communications and Management Science and Operations Research, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Optimization and Search Problems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Constraint Satisfaction and Optimization (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Auction Theory and Applications (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (291 citations), Signal Processing (98 citations) and Management Science and Operations Research (88 citations). Ruben Stranders has collaborated with scholars based in United Kingdom, Italy and Mexico. Frequent co-authors include Nicholas R. Jennings, Alessandro Farinelli, Alex Rogers, A. Rogers, Sarvapali D. Ramchurn, Enrique Muñoz de Cote, Francesco M. Delle Fave, Nicola Gatti, Nicola Basilico and The Anh Han. Their work appears in journals such as Artificial Intelligence, Adaptive Agents and Multi-Agents Systems, Virtual Community of Pathological Anatomy (University of Castilla La Mancha), ePrints Soton (University of Southampton) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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