Roland Perko

865 citations
50 papers · 591 · h-index 13

Impact in

Papers in

Roland Perko

46 papers receiving 541 citations

Peers

Roland Perko
Comparison fields: 5 of 58
  • Environmental Engineering 272
  • Geology 93
  • Ocean Engineering 179
  • Aerospace Engineering 269
  • Computer Vision and Pattern Recognition 160
Replace Mehdi Ravanbakhsh with:
Mehdi Ravanbakhsh Australia
Hannes Raggam Austria
Karlheinz Gutjahr Austria
Pengjie Tao China
Fabio Crosilla Italy
Maurício Galo Brazil
Misganu Debella-Gilo Norway
Kirsi Karila Finland
Dimitri Bulatov Germany
Jiann-Yeou Rau Taiwan
Roland Perko relative to Mehdi Ravanbakhsh Australia Mehdi Ravanbakhsh's profile →
Citations per field
00.5×1.5×1.8×
Mehdi Ravanbakhsh · 1×
Citations per year

Countries citing papers authored by Roland Perko

Since Specialization
Citations

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

Fields of papers citing papers by Roland Perko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roland Perko, 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 Roland Perko Line = papers co-authored together Roland Perko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201066
3
The Ultracam Large Format Aerial Digital Camera System
200347
4 201543
5 201340
6 201640
7 201337
8 200426
9 201423
10 201023
11
Accuracy Assessment of 3D Point Retrieval from TerraSAR-X Data Sets
201017
12 201915
13 201712
14 201112
15 201812
16 20179
17
Novel Concepts for Aerial Digital Cameras
20029
18 20169
19
PARADIGMENWECHSEL IN DER PHOTOGRAMMETRIE DURCH DIGITALE LUFTBILDAUFNAHME
20038
20
The Capabilities of TerraSAR-X Imagery for Retrieval of Forest Parameters
20107

About Roland Perko

Roland Perko is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ocean Engineering, Environmental Engineering and Geology, having authored 50 papers that have together received 591 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (15 papers), Satellite Image Processing and Photogrammetry (13 papers), Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (10 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Advanced Vision and Imaging (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Environmental Engineering (272 citations), Geology (93 citations), Ocean Engineering (179 citations), Aerospace Engineering (269 citations) and Computer Vision and Pattern Recognition (160 citations). Roland Perko has collaborated with scholars based in Austria, Germany and China. Frequent co-authors include Hannes Raggam, Karlheinz Gutjahr, Mathias Schardt, M. Schardt, Henrik Persson, Franz Leberl, Michael Gruber, Aleš Leonardis, Manuela Hirschmugl and Peter M. Roth. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing Letters, European Journal of Remote Sensing and Computer Vision and Image Understanding.

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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