Sam Michiels

1.3k citations
136 papers · 837 · h-index 16

Impact in

Papers in

Sam Michiels

120 papers receiving 765 citations

Peers

Sam Michiels
Comparison fields: 5 of 71
  • Computer Networks and Communications 547
  • Information Systems 264
  • Computer Vision and Pattern Recognition 176
  • Artificial Intelligence 265
  • Hardware and Architecture 53
Replace Jürgen Schönwälder with:
Jürgen Schönwälder Germany
Geoff Coulson United Kingdom
Shudong Jin United States
Hasan Çam United States
Paal Engelstad Norway
Chia-Mei Chen Taiwan
Jeremy Singer United Kingdom
Dawei Sun China
Per Gunningberg Sweden
Chao Jin China
Sam Michiels relative to Jürgen Schönwälder Germany Jürgen Schönwälder's profile →
Citations per field
00.5×1.6×
Jürgen Schönwälder · 1×
Citations per year

Countries citing papers authored by Sam Michiels

Since Specialization
Citations

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

Fields of papers citing papers by Sam Michiels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 201934
3 201534
4 201130
5 202027
6 200626
7 200526
8 201224
9 200821
10 199718
11 201518
12 201418
13 200817
14 200217
15 201515
16
Towards Hot-Swappable System Software: The DiPS/CuPS Component Framework
200215
17 201014
18 201914
19 201414
20 201714

About Sam Michiels

Sam Michiels is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 136 papers that have together received 837 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (40 papers), Software System Performance and Reliability (30 papers), Context-Aware Activity Recognition Systems (30 papers), Service-Oriented Architecture and Web Services (25 papers), Advanced Software Engineering Methodologies (23 papers), IoT and Edge/Fog Computing (19 papers), Modular Robots and Swarm Intelligence (11 papers) and Security in Wireless Sensor Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (547 citations), Information Systems (264 citations), Computer Vision and Pattern Recognition (176 citations), Artificial Intelligence (265 citations) and Hardware and Architecture (53 citations). Sam Michiels has collaborated with scholars based in Belgium, China and United Kingdom. Frequent co-authors include Wouter Joosen, Danny Hughes, Pierre Verbaeten, Nelson Matthys, Christophe Huygens, Fan Yang, Federico Quin, Danny Weyns, Lieven Desmet and Eddy Truyen. Their work appears in journals such as IEEE Sensors Journal, Information Sciences, Journal of Neural Engineering, European Journal of Clinical Microbiology & Infectious Diseases and Physics Letters B.

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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