Nelson Matthys

563 citations
35 papers · 347 · h-index 10

Impact in

Papers in

Nelson Matthys

35 papers receiving 320 citations

Peers

Nelson Matthys
Comparison fields: 5 of 51
  • Computer Networks and Communications 264
  • Hardware and Architecture 35
  • Computer Vision and Pattern Recognition 95
  • Information Systems 54
  • Artificial Intelligence 75
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Le Luo China
Khaled Boussetta France
Christophe Huygens Belgium
Wei‐Tsong Lee Taiwan
Chantana Chantrapornchai Thailand
Amol Bakshi United States
Igor Radusinović Montenegro
Terpsichori-Helen Velivassaki Greece
Arun Mishra India
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Citations per field
00.5×6.8×
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Citations per year

Countries citing papers authored by Nelson Matthys

Since Specialization
Citations

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

Fields of papers citing papers by Nelson Matthys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 201534
3 201130
4 201224
5 201620
6 201518
7 201716
8 201014
9 201513
10 20169
11 20128
12 20107
13 20107
14 20167
15
An event-based component model for sensor networks: a case study for river monitoring
20105
16 20095
17 20075
18 20125
19 20105
20 20084

About Nelson Matthys

Nelson Matthys is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 35 papers that have together received 347 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (21 papers), Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (11 papers), Software System Performance and Reliability (8 papers), Advanced Software Engineering Methodologies (5 papers), Service-Oriented Architecture and Web Services (5 papers), Modular Robots and Swarm Intelligence (5 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Computer Networks and Communications (264 citations), Hardware and Architecture (35 citations), Computer Vision and Pattern Recognition (95 citations), Information Systems (54 citations) and Artificial Intelligence (75 citations). Nelson Matthys has collaborated with scholars based in Belgium, China and Brazil. Frequent co-authors include Wouter Joosen, Danny Hughes, Sam Michiels, Christophe Huygens, Fan Yang, R. Bachiller, Jó Ueyama, Sheng-Uei Guan, Ka Lok Man and Eduardo Mário Mendiondo. Their work appears in journals such as IEEE Sensors Journal, Journal of Internet Services and Applications, Journal of the Brazilian Computer Society, Security and Communication Networks and Ghent University Academic Bibliography (Ghent 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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