Juha Oksanen

1.1k total citations
42 papers, 588 citations indexed

About

Juha Oksanen is a scholar working on Environmental Engineering, Geography, Planning and Development and Ecology. According to data from OpenAlex, Juha Oksanen has authored 42 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 12 papers in Geography, Planning and Development and 10 papers in Ecology. Recurrent topics in Juha Oksanen's work include Geographic Information Systems Studies (12 papers), Hydrology and Watershed Management Studies (10 papers) and Remote Sensing and LiDAR Applications (8 papers). Juha Oksanen is often cited by papers focused on Geographic Information Systems Studies (12 papers), Hydrology and Watershed Management Studies (10 papers) and Remote Sensing and LiDAR Applications (8 papers). Juha Oksanen collaborates with scholars based in Finland, Germany and Denmark. Juha Oksanen's co-authors include Tapani Sarjakoski, Matti Tikkanen, Jan Westerholm, Ville Mäkinen, Elias Willberg, Tuuli Toivonen, Eero Ahokas, Hannu Hyyppä, Juha Hyyppä and Harri Kaartinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Juha Oksanen

40 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juha Oksanen Finland 12 218 130 118 109 90 42 588
Amy J. Ruggles United States 4 183 0.8× 91 0.7× 56 0.5× 56 0.5× 64 0.7× 4 527
Pinde Fu United States 7 157 0.7× 250 1.9× 43 0.4× 157 1.4× 132 1.5× 11 785
Junmei Tang United States 18 280 1.3× 535 4.1× 101 0.9× 306 2.8× 216 2.4× 43 974
Andreas Hirner Germany 10 189 0.9× 389 3.0× 46 0.4× 148 1.4× 110 1.2× 31 640
Jiaming Na China 17 319 1.5× 182 1.4× 117 1.0× 206 1.9× 108 1.2× 60 817
Lanfa Liu China 12 170 0.8× 130 1.0× 19 0.2× 125 1.1× 110 1.2× 27 682
Klaus Steinnocher Austria 15 141 0.6× 308 2.4× 26 0.2× 212 1.9× 142 1.6× 48 648
Martin Paegelow France 11 100 0.5× 756 5.8× 98 0.8× 235 2.2× 115 1.3× 21 990
Thomas J. Pingel United States 14 459 2.1× 254 2.0× 37 0.3× 163 1.5× 193 2.1× 37 850
María Teresa Camacho Olmedo Spain 12 115 0.5× 789 6.1× 104 0.9× 283 2.6× 133 1.5× 30 1.0k

Countries citing papers authored by Juha Oksanen

Since Specialization
Citations

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

Fields of papers citing papers by Juha Oksanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Oksanen

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Oksanen. A scholar is included among the top collaborators of Juha Oksanen 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 Juha Oksanen. Juha Oksanen 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.
Mäkinen, Ville, et al.. (2024). Time will not tell: Temporal approaches for privacy-preserving trajectory publishing. Computers Environment and Urban Systems. 112. 102154–102154. 1 indexed citations
2.
Zhu, Lingli, et al.. (2023). Advantages of Using Transfer Learning Technology with a Quantative Measurement. Remote Sensing. 15(17). 4278–4278. 2 indexed citations
3.
Zhu, Lingli, et al.. (2023). Mapping Small Watercourses from DEMs with Deep Learning—Exploring the Causes of False Predictions. Remote Sensing. 15(11). 2776–2776. 4 indexed citations
4.
5.
Oksanen, Juha, et al.. (2023). Lessons learnt from digitizing a label dataset for AI-based feature extraction of watercourses. Abstracts of the ICA. 6. 1–2. 1 indexed citations
6.
Mäkinen, Ville, et al.. (2022). My home is my secret: concealing sensitive locations by context-aware trajectory truncation. International Journal of Geographical Information Systems. 36(12). 2496–2524. 5 indexed citations
7.
Räsänen, Timo A., et al.. (2022). Exploring structural sediment connectivity via surface runoff in agricultural lands of Finland. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 72(1). 957–970. 3 indexed citations
8.
Strāķe, Solvita, et al.. (2021). User experiences of using a spatial analysis tool in collaborative GIS for maritime spatial planning. Transactions in GIS. 25(4). 1809–1824. 7 indexed citations
9.
Willberg, Elias, et al.. (2020). The green view dataset for the capital of Finland, Helsinki. SHILAP Revista de lepidopterología. 30. 105601–105601. 24 indexed citations
10.
Oksanen, Juha, et al.. (2020). Enhancing interaction in maritime spatial planning workshops through collaborative GIS. Abstracts of the ICA. 2. 1–2. 1 indexed citations
11.
Mäkinen, Ville, Juha Oksanen, & Tapani Sarjakoski. (2019). Creating visually consistent DEMs over water bodies using laser scanning data. Työväentutkimus Vuosikirja. 1 indexed citations
12.
Oksanen, Juha, et al.. (2019). Motion of animated streamlets appears to surpass their graphical alterations in human visual detection of vector field maxima. Cartography and Geographic Information Science. 46(6). 489–501. 4 indexed citations
13.
Oksanen, Juha, et al.. (2018). Near real-time coastal flood inundation simulation with uncertainty analysis and GPU acceleration in a web environment. Computers & Geosciences. 119. 39–48. 10 indexed citations
14.
Oksanen, Juha, et al.. (2018). SUPPORTING WIDE USER-BASE IN RASTER ANALYSIS – GEOCUBES FINLAND. SHILAP Revista de lepidopterología. XLII-4. 329–334.
15.
Oksanen, Juha, et al.. (2016). Conflation of OpenStreetMap and Mobile Sports Tracking Data for Automatic Bicycle Routing. Transactions in GIS. 20(6). 848–868. 25 indexed citations
16.
Westerholm, Jan, et al.. (2015). Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy. ISPRS International Journal of Geo-Information. 4(4). 1813–1826. 19 indexed citations
17.
Oksanen, Juha, et al.. (2014). A User Study of Experimental Maps for Outdoor Activities. Cartographica The International Journal for Geographic Information and Geovisualization. 49(3). 188–201. 1 indexed citations
18.
Oksanen, Juha, et al.. (2013). From LiDAR Data to Forest Representation on Multi-Scale Maps. The Cartographic Journal. 50(1). 33–42. 1 indexed citations
19.
Oksanen, Juha, et al.. (2011). Map Design for a Multi-Publishing Framework – Case MenoMaps in Nuuksio National Park. The Cartographic Journal. 48(2). 116–123. 9 indexed citations
20.
Tikkanen, Matti & Juha Oksanen. (2002). Late Weichselian and Holocene shore displacement history of the Baltic Sea in Finland. SHILAP Revista de lepidopterología. 57 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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