Ferjan Ormeling

42 papers receiving 430 citations

Peers

Ferjan Ormeling
Comparison fields: 5 of 104
  • Geography, Planning and Development 253
  • Signal Processing 115
  • Transportation 54
  • Space and Planetary Science 6
  • Computer Vision and Pattern Recognition 92
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Robert B Mc Master United States
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Milan Konečný Czechia
William Cartwright Australia
Jonathan Raper United Kingdom
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Citations per year

Countries citing papers authored by Ferjan Ormeling

Since Specialization
Citations

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

Fields of papers citing papers by Ferjan Ormeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Ferjan Ormeling, 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 Ferjan Ormeling Line = papers co-authored together Ferjan Ormeling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cartography: Visualization of Spatial Data
1996178
2 198366
3 195853
4 202049
5 198330
6 200127
7 199711
8 19958
9 19967
10 19927
11 19956
12
Visualization support for fuzzy spatial analysis
19946
13 19965
14 20005
15 20085
16
The potential of a national atlas as integral part of the geodata infrastructure exemplified by the new Dutch national atlas
20095
17 20084
18 20014
19 20004
20 19973

About Ferjan Ormeling

Ferjan Ormeling is a scholar working on Geography, Planning and Development, Signal Processing, Sociology and Political Science, Building and Construction and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 530 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (27 papers), Historical Geography and Cartography (16 papers), Data Management and Algorithms (9 papers), 3D Modeling in Geospatial Applications (6 papers), Data Visualization and Analytics (3 papers), Geography Education and Pedagogy (3 papers), Historical Astronomy and Related Studies (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Geography, Planning and Development (253 citations), Signal Processing (115 citations), Transportation (54 citations), Space and Planetary Science (6 citations) and Computer Vision and Pattern Recognition (92 citations). Ferjan Ormeling has collaborated with scholars based in Netherlands, Germany and Australia. Frequent co-authors include M.J. Kraak, Bin Jiang, Jan Ketil Rød, Jean-Claude Müller, Trias Aditya, Wolfgang Kainz, Milan Konečný, В. С. Тикунов, C.P.J.M. van Elzakker and David Fraser. Their work appears in journals such as Tijdschrift voor Economische en Sociale Geografie, Norsk Geografisk Tidsskrift - Norwegian Journal of Geography, International Journal of Digital Earth, LIBER Quarterly The Journal of the Association of European Research Libraries and KN - Journal of Cartography and Geographic Information.

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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