Peter Hellinckx

123 papers receiving 1.4k citations

Peter Hellinckx's Hit Papers

A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data 2020 · 286 citations
2860+2+4Years since publication50100150200250

Peers

Peter Hellinckx
Comparison fields: 5 of 119
  • Transportation 171
  • Building and Construction 343
  • Hardware and Architecture 166
  • Computer Networks and Communications 440
  • Signal Processing 122
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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 132 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 →
2020286
2 2021185
3 201686
4 201457
5 201347
6 201944
7 201840
8
Smart Highway : ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies
201924
9 201724
10 200722
11 201822
12 201921
13 202121
14 200820
15 201620
16 202119
17 202018
18 202217
19
Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs
201015
20 201914

About Peter Hellinckx

Peter Hellinckx is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture and Building and Construction, having authored 132 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Cloud Computing and Resource Management (16 papers), Parallel Computing and Optimization Techniques (16 papers), Real-Time Systems Scheduling (15 papers), Advanced Neural Network Applications (13 papers), IoT and Edge/Fog Computing (13 papers), Embedded Systems Design Techniques (13 papers) and Building Energy and Comfort Optimization (13 papers). The work is most often cited by research in Transportation (171 citations), Building and Construction (343 citations), Hardware and Architecture (166 citations), Computer Networks and Communications (440 citations) and Signal Processing (122 citations). Peter Hellinckx has collaborated with scholars based in Belgium, Spain and United States. Frequent co-authors include Toon Bogaerts, Siegfried Mercelis, Juan S. Angarita-Zapata, Enrique Onieva, Antonio D. Masegosa, Steven Latré, Wim Casteels, Furkan Elmaz, J. Broeckhove and F. Arickx. Their work appears in journals such as Internet of Things, Computers & Chemical Engineering, IEEE Access, Energies and Future Internet.

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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