Lars Harrie

2.6k total citations
115 papers, 1.7k citations indexed

About

Lars Harrie is a scholar working on Geography, Planning and Development, Building and Construction and Signal Processing. According to data from OpenAlex, Lars Harrie has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Geography, Planning and Development, 46 papers in Building and Construction and 38 papers in Signal Processing. Recurrent topics in Lars Harrie's work include Geographic Information Systems Studies (59 papers), 3D Modeling in Geospatial Applications (45 papers) and Data Management and Algorithms (38 papers). Lars Harrie is often cited by papers focused on Geographic Information Systems Studies (59 papers), 3D Modeling in Geospatial Applications (45 papers) and Data Management and Algorithms (38 papers). Lars Harrie collaborates with scholars based in Sweden, Netherlands and United Kingdom. Lars Harrie's co-authors include Lars Eklundh, Andres Kuusk, Bin Jiang, Per‐Ola Olsson, Bo Mao, Jantien Stoter, Claire Ellul, Petter Pilesjö, Helen Eriksson and Yifang Ban and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Access.

In The Last Decade

Lars Harrie

103 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Harrie Sweden 23 677 615 397 335 258 115 1.7k
Peter van Oosterom Netherlands 28 1.7k 2.6× 852 1.4× 483 1.2× 634 1.9× 480 1.9× 158 2.7k
Alias Abdul Rahman Malaysia 16 617 0.9× 221 0.4× 116 0.3× 273 0.8× 313 1.2× 133 1.2k
Hongchao Fan China 26 343 0.5× 531 0.9× 341 0.9× 543 1.6× 696 2.7× 122 2.3k
Yongning Wen China 18 189 0.3× 446 0.7× 192 0.5× 171 0.5× 126 0.5× 81 1.1k
Monika Sester Germany 31 596 0.9× 906 1.5× 711 1.8× 338 1.0× 631 2.4× 201 3.0k
Tinghua Ai China 29 418 0.6× 951 1.5× 571 1.4× 66 0.2× 475 1.8× 176 2.8k
Christopher Gold United Kingdom 16 234 0.3× 228 0.4× 230 0.6× 63 0.2× 166 0.6× 46 895
Zhaoyuan Yu China 23 224 0.3× 148 0.2× 181 0.5× 57 0.2× 206 0.8× 131 1.8k
Liqiu Meng Germany 24 249 0.4× 570 0.9× 292 0.7× 97 0.3× 272 1.1× 154 3.0k
Hugo Ledoux Netherlands 29 2.4k 3.5× 648 1.1× 186 0.5× 1.4k 4.3× 1.3k 5.1× 114 3.4k

Countries citing papers authored by Lars Harrie

Since Specialization
Citations

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

Fields of papers citing papers by Lars Harrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Harrie

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Harrie. A scholar is included among the top collaborators of Lars Harrie 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 Lars Harrie. Lars Harrie 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
2.
Oucheikh, Rachid & Lars Harrie. (2024). A feasibility study of applying generative deep learning models for map labeling. Cartography and Geographic Information Science. 51(1). 168–191. 6 indexed citations
3.
Yu, Huafei, Tinghua Ai, Min Yang, Weiming Huang, & Lars Harrie. (2023). A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation. International Journal of Digital Earth. 16(1). 1828–1852. 10 indexed citations
4.
Kanters, Jouri, et al.. (2023). Input data requirements for daylight simulations in urban densifications. Lund University Publications (Lund University). 2(1). 4 indexed citations
5.
Noardo, Francesca, Lars Harrie, Ken Arroyo Ohori, et al.. (2020). Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019. ISPRS International Journal of Geo-Information. 9(9). 502–502. 47 indexed citations
6.
Noardo, Francesca, Ken Arroyo Ohori, Filip Biljecki, et al.. (2020). THE ISPRS-EUROSDR GEOBIM BENCHMARK 2019. SHILAP Revista de lepidopterología. XLIII-B5-2020. 227–233. 14 indexed citations
7.
Huang, Weiming, et al.. (2019). Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure. ISPRS International Journal of Geo-Information. 8(7). 310–310. 17 indexed citations
8.
Eriksson, Helen, Lars Harrie, Jesper M. Paasch, & Andreas Persson. (2018). Techniques for and consequences of using INSPIRE extensions: a case study with Swedish hydrological data. 13. 172–201. 2 indexed citations
9.
Eriksson, Helen, et al.. (2018). Sharing building information from planning to maintenance phases. Lund University Publications (Lund University). 3 indexed citations
10.
Svensson, Patrick, et al.. (2017). Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914. Scientific Data. 4(1). 170046–170046. 10 indexed citations
11.
Harrie, Lars, et al.. (2015). Methods to Create a Longitudinal Integrated Demographic and Geographic Database on the Micro-Level. Historical Methods A Journal of Quantitative and Interdisciplinary History. 48(3). 153–173. 5 indexed citations
12.
Mansourian, Ali, et al.. (2015). Matching authority and VGI road networks using an extended node-based matching algorithm. Geo-spatial Information Science. 18(2-3). 65–80. 19 indexed citations
13.
Mao, Bo, Lars Harrie, Yifang Ban, & Hongchao Fan. (2011). Real time visualisation of 3D city models in street view based on visual salience. 1 indexed citations
14.
Toomanian, Ara, et al.. (2011). Using Balanced Scorecard for Evaluation of Spatial Data Infrastructures: A Case Study in accordance with INSPIRE. Lund University Publications (Lund University). 6. 311–343. 7 indexed citations
15.
Mao, Bo, Lars Harrie, & Yifang Ban. (2010). A Dynamic Typification Method of 3D City Buildings Using Minimum Spanning Tree. Lund University Publications (Lund University). 3 indexed citations
16.
Harrie, Lars, et al.. (2007). Development of a tool for proximity applications. Lund University Publications (Lund University). 3 indexed citations
17.
Sester, Monika, et al.. (2006). Multiple representation and interoperability of spatial data. Lund University Publications (Lund University). 13 indexed citations
18.
Sarjakoski, Tapani, et al.. (2005). Web Generalisation Service in GiMoDig – towards a standardised service for real-time generalisation. Lund University Publications (Lund University). 509–518. 7 indexed citations
19.
Sester, Monika, et al.. (2004). Multiple Representation Databases to Support Visualization on Mobile Devices. Lund University Publications (Lund University). 135–140. 12 indexed citations
20.
Eklundh, Lars & Lars Harrie. (2000). Determination of green phytomass in a northern boreal forest by means of Landsat TM-data and a forest canopy reflectance model. Lund University Publications (Lund University). 126–129. 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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