Bart Moelans

629 citations
9 papers · 385 · h-index 8

Impact in

    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Data Management and Algorithms

Papers in

Bart Moelans

8 papers receiving 362 citations

Peers

Bart Moelans
Comparison fields: 5 of 45
  • Transportation 215
  • Signal Processing 276
  • Geography, Planning and Development 137
  • Building and Construction 43
  • Ocean Engineering 49
Replace Jose Macedo with:
Jose Macedo Switzerland
Ling-Yin Wei Taiwan
Gerasimos Marketos Greece
Jianqiu Xu China
Igor Timko Denmark
Hyung-Ju Cho South Korea
Andy Yuan Xue China
Eliyahu Safra Israel
Wesley Mathew Portugal
Mohamed E. Khalefa United States
Bart Moelans relative to Jose Macedo Switzerland Jose Macedo's profile →
Citations per field
00.5×1.5×
Jose Macedo · 1×
Citations per year

Countries citing papers authored by Bart Moelans

Since Specialization
Citations

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

Fields of papers citing papers by Bart Moelans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Bart Moelans, 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 Bart Moelans Line = papers co-authored together Bart Moelans links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007268
2
Towards Semantic Trajectory Knowledge Discovery
200736
3
Dynamic modeling of trajectory patterns using data mining and reverse engineering
200726
4 200916
5 200912
6 200611
7 20169
8
Recognizing patterns of movements in visitor flows in nature areas
20087
9 20080

About Bart Moelans

Bart Moelans is a scholar working on Signal Processing, Computer Networks and Communications, Geography, Planning and Development, Information Systems and Ocean Engineering, having authored 9 papers that have together received 385 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Geographic Information Systems Studies (4 papers), Advanced Database Systems and Queries (3 papers), Automated Road and Building Extraction (2 papers), Traffic Prediction and Management Techniques (2 papers), Data Mining Algorithms and Applications (2 papers), Constraint Satisfaction and Optimization (2 papers) and Urban Transport and Accessibility (1 paper). The work is most often cited by research in Transportation (215 citations), Signal Processing (276 citations), Geography, Planning and Development (137 citations), Building and Construction (43 citations) and Ocean Engineering (49 citations). Bart Moelans has collaborated with scholars based in Belgium, Argentina and Switzerland. Frequent co-authors include Bart Kuijpers, Vânia Bogorny, Luís Otávio Álvares, José Antônio Fernandes de Macêdo, Alejandro Vaisman, Stefano Spaccapietra, Walied Othman, Nico Van de Weghe and A. Ligtenberg. Their work appears in journals such as International Journal of Data Warehousing and Mining, ISPRS International Journal of Geo-Information, Ghent University Academic Bibliography (Ghent University) and Document Server@UHasselt (UHasselt).

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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