P.J.M. van Oosterom

2.6k total citations
179 papers, 1.9k citations indexed

About

P.J.M. van Oosterom is a scholar working on Building and Construction, Geography, Planning and Development and Geochemistry and Petrology. According to data from OpenAlex, P.J.M. van Oosterom has authored 179 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Building and Construction, 83 papers in Geography, Planning and Development and 48 papers in Geochemistry and Petrology. Recurrent topics in P.J.M. van Oosterom's work include 3D Modeling in Geospatial Applications (144 papers), Geographic Information Systems Studies (81 papers) and Geological Modeling and Analysis (48 papers). P.J.M. van Oosterom is often cited by papers focused on 3D Modeling in Geospatial Applications (144 papers), Geographic Information Systems Studies (81 papers) and Geological Modeling and Analysis (48 papers). P.J.M. van Oosterom collaborates with scholars based in Netherlands, Japan and Türkiye. P.J.M. van Oosterom's co-authors include C. Lemmen, Jantien Stoter, R. J. Thompson, H.D. Ploeger, H.T. Uitermark, Sisi Zlatanova, Sandra Lach Arlinghaus, C. Augustinus, J.A. Zevenbergen and Martijn Meijers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Geosciences and Advanced Healthcare Materials.

In The Last Decade

P.J.M. van Oosterom

168 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P.J.M. van Oosterom Netherlands 22 1.5k 706 520 380 285 179 1.9k
Peter van Oosterom Netherlands 28 1.7k 1.1× 852 1.2× 594 1.1× 634 1.7× 483 1.7× 158 2.7k
H.D. Ploeger Netherlands 17 734 0.5× 227 0.3× 269 0.5× 211 0.6× 30 0.1× 49 891
Ümit Işıkdağ Türkiye 22 1.0k 0.7× 193 0.3× 190 0.4× 407 1.1× 24 0.1× 65 1.3k
Yongning Wen China 18 189 0.1× 446 0.6× 103 0.2× 171 0.5× 192 0.7× 81 1.1k
Claire Ellul United Kingdom 18 538 0.4× 309 0.4× 169 0.3× 282 0.7× 109 0.4× 72 936
Behnam Atazadeh Australia 18 852 0.6× 133 0.2× 346 0.7× 418 1.1× 9 0.0× 60 951
Songshan Yue China 17 129 0.1× 344 0.5× 72 0.1× 147 0.4× 147 0.5× 72 895
Alessandro Annoni Italy 12 116 0.1× 480 0.7× 49 0.1× 71 0.2× 244 0.9× 27 1.1k
Martin Breunig Germany 12 234 0.2× 180 0.3× 144 0.3× 60 0.2× 152 0.5× 45 501
Yerach Doytsher Israel 15 159 0.1× 199 0.3× 27 0.1× 93 0.2× 187 0.7× 62 561

Countries citing papers authored by P.J.M. van Oosterom

Since Specialization
Citations

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

Fields of papers citing papers by P.J.M. van Oosterom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.J.M. van Oosterom. 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 P.J.M. van Oosterom. The network helps show where P.J.M. van Oosterom may publish in the future.

Co-authorship network of co-authors of P.J.M. van Oosterom

This figure shows the co-authorship network connecting the top 25 collaborators of P.J.M. van Oosterom. A scholar is included among the top collaborators of P.J.M. van Oosterom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P.J.M. van Oosterom. P.J.M. van Oosterom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oosterom, P.J.M. van, et al.. (2020). LADM-based Israeli Country Profile: Toward Implementation of 3D Cadastre Registration. Research Repository (Delft University of Technology). 1 indexed citations
2.
Liu, Hongbin, P.J.M. van Oosterom, Martijn Meijers, & E. Verbree. (2018). Towards 10^15-level point clouds management - a nD PointCloud structure. Research Repository (Delft University of Technology). 4 indexed citations
3.
Oosterom, P.J.M. van, et al.. (2017). Point Cloud Based Visibility Analysis: first experimental results. Research Repository (Delft University of Technology). 5 indexed citations
4.
Lemmen, C., et al.. (2017). Further standardisation in Land Administration. University of Twente Research Information. 1 indexed citations
5.
Işıkdağ, Ümit, et al.. (2014). Semantically Rich 3D Building and Cadastral Models for Valuation. Research Repository (Delft University of Technology). 23 indexed citations
6.
Paasch, Jesper M., P.J.M. van Oosterom, Jenny Paulsson, & C. Lemmen. (2013). Specialization of the Land Administration Domain Model (LADM) : An Option for Expanding the Legal Profiles. University of Twente Research Information. 11 indexed citations
7.
Oosterom, P.J.M. van, et al.. (2012). Design of 3D cadastre model in the Russian Federation. Research Repository (Delft University of Technology). 2 indexed citations
8.
Karki, S., et al.. (2011). ISO Land Administration Domain Model and LandXML in the Development of Digital Survey Plan Lodgement for 3D Cadastre in Australia. Research Repository (Delft University of Technology). 15 indexed citations
9.
Oosterom, P.J.M. van & Martijn Meijers. (2011). Towards a true vario-scale structure supporting smooth-zoom. Research Repository (Delft University of Technology). 16 indexed citations
10.
Oosterom, P.J.M. van, et al.. (2010). Management of massive point cloud data: wet and dry. Research Repository (Delft University of Technology). 8 indexed citations
11.
Zlatanova, Sisi, et al.. (2010). Ontology-based query of two Dutch topographic data sets: An emergency response case. Health Physics. 29(5). 799–801. 3 indexed citations
12.
Lemmen, C., C. Augustinus, & P.J.M. van Oosterom. (2009). The social tenure domain model. Data Archiving and Networked Services (DANS). 23(10). 22 indexed citations
13.
Augustinus, C., C. Lemmen, & P.J.M. van Oosterom. (2006). Social tenure domain model requirements from the perspective of pro - poor land management. Advanced Healthcare Materials. 12(31). e2301683–e2301683. 43 indexed citations
14.
Lemmen, C. & P.J.M. van Oosterom. (2006). FIG core cadastral domain model version 1.0 : distributed cadastral systems. Data Archiving and Networked Services (DANS). 20(11). 43–47. 4 indexed citations
15.
Ploeger, H.D., C. Lemmen, Jantien Stoter, et al.. (2004). Un modelo estándar para el ámbito catastral. 33–54. 1 indexed citations
16.
Verbree, E. & P.J.M. van Oosterom. (2003). STIN method: Surface TIN representation by Delaunay TENs constrained by observation lines. 1 indexed citations
17.
Stoter, Jantien, et al.. (2003). Modelling 3D spatial objects in a Geo-DBMS using a 3D primitive. University of Twente Research Information. 12 indexed citations
18.
Stoter, Jantien & P.J.M. van Oosterom. (2003). Cadastral registration of real estate objects in three dimensions. Data Archiving and Networked Services (DANS). 15(2). 47–56. 14 indexed citations
19.
Oosterom, P.J.M. van, et al.. (2000). Storing and Manipulating Simple and Complex Features in Database Management Systems. Data Archiving and Networked Services (DANS). 3 indexed citations
20.
Oosterom, P.J.M. van & Chris Laffra. (1990). Persistent Graphical Objects in Procol. 3 indexed citations

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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