Peter Hellinckx

1.9k citations
91 papers · 1.2k · 1 hit paper · h-index 17

Impact in

Papers in

Peter Hellinckx

85 papers receiving 1.1k citations

Peter Hellinckx's Hit Papers

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data 2020 · 271 citations
2710+2+4Years since publication50100150200250

Peers

Peter Hellinckx
Comparison fields: 5 of 120
  • Transportation 158
  • Building and Construction 312
  • Hardware and Architecture 122
  • Computer Networks and Communications 338
  • Signal Processing 88
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Siew-Kei Lam Singapore
Joaquim Ferreira Portugal
Tarek Sheltami Saudi Arabia
Balqies Sadoun Jordan
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Citations per year

Countries citing papers authored by Peter Hellinckx

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hellinckx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
Hit paper breakdown →
2020271
2 2021163
3 201673
4 201444
5 201942
6 201341
7 201839
8
Smart Highway : ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies
201922
9 200721
10 202120
11 202119
12 201819
13 201618
14 202017
15 202217
16 200816
17 201916
18 201914
19
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs
201013
20 202013

About Peter Hellinckx

Peter Hellinckx is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Building and Construction and Artificial Intelligence, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Real-Time Systems Scheduling (11 papers), Building Energy and Comfort Optimization (11 papers), Distributed and Parallel Computing Systems (11 papers), Cloud Computing and Resource Management (10 papers), Embedded Systems Design Techniques (10 papers), IoT and Edge/Fog Computing (9 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Transportation (158 citations), Building and Construction (312 citations), Hardware and Architecture (122 citations), Computer Networks and Communications (338 citations) and Signal Processing (88 citations). Peter Hellinckx has collaborated with scholars based in Belgium, Spain and Austria. Frequent co-authors include Antonio D. Masegosa, Juan S. Angarita-Zapata, Enrique Onieva, Steven Latré, Wim Casteels, Siegfried Mercelis, Furkan Elmaz, J. Broeckhove, Johann M. Márquez-Barja and F. Arickx. Their work appears in journals such as Internet of Things, Computers & Chemical Engineering, Future Internet, IEEE Access and Sensors.

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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