Daniel Wujanz

406 total citations
20 papers, 299 citations indexed

About

Daniel Wujanz is a scholar working on Environmental Engineering, Geology and Aerospace Engineering. According to data from OpenAlex, Daniel Wujanz has authored 20 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 17 papers in Geology and 7 papers in Aerospace Engineering. Recurrent topics in Daniel Wujanz's work include 3D Surveying and Cultural Heritage (17 papers), Remote Sensing and LiDAR Applications (17 papers) and Robotics and Sensor-Based Localization (5 papers). Daniel Wujanz is often cited by papers focused on 3D Surveying and Cultural Heritage (17 papers), Remote Sensing and LiDAR Applications (17 papers) and Robotics and Sensor-Based Localization (5 papers). Daniel Wujanz collaborates with scholars based in Germany, Italy and Austria. Daniel Wujanz's co-authors include Frank Neitzel, M. Burger, Bernhard Höfle, Marco Scaioni, M. Previtali, Thomas P. Kersten, Luigi Barazzetti, Felix Tschirschwitz, Michael Avian and Lukas Winiwarter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Daniel Wujanz

19 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wujanz Germany 11 223 220 63 48 34 20 299
Yuriy Reshetyuk Sweden 10 278 1.2× 281 1.3× 62 1.0× 89 1.9× 24 0.7× 15 355
L. Teppati Losè Italy 12 270 1.2× 360 1.6× 119 1.9× 30 0.6× 14 0.4× 38 432
Domenico Visintini Italy 9 211 0.9× 332 1.5× 99 1.6× 54 1.1× 10 0.3× 27 395
Stuart J. Gordon Australia 8 435 2.0× 464 2.1× 82 1.3× 118 2.5× 41 1.2× 12 613
Giuseppina Vacca Italy 12 171 0.8× 301 1.4× 48 0.8× 34 0.7× 29 0.9× 44 417
Kwang-Ho Bae Australia 9 231 1.0× 259 1.2× 193 3.1× 103 2.1× 13 0.4× 13 409
Nives Grasso Italy 10 200 0.9× 218 1.0× 85 1.3× 39 0.8× 13 0.4× 33 329
M. Daakir France 7 159 0.7× 181 0.8× 128 2.0× 82 1.7× 49 1.4× 8 374
Francesco Di Stefano Italy 11 138 0.6× 244 1.1× 53 0.8× 29 0.6× 12 0.4× 25 351
Dong-Cheon Lee South Korea 9 180 0.8× 145 0.7× 104 1.7× 42 0.9× 3 0.1× 44 294

Countries citing papers authored by Daniel Wujanz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wujanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wujanz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wujanz. A scholar is included among the top collaborators of Daniel Wujanz 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 Daniel Wujanz. Daniel Wujanz 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.
Holst, Christoph, et al.. (2024). Intensity-based stochastic model of terrestrial laser scanners: Methodological workflow, empirical derivation and practical benefit. SHILAP Revista de lepidopterología. 15. 100079–100079.
2.
3.
Wujanz, Daniel, et al.. (2022). CO-REGISTRATION OF TLS POINT CLOUDS WITH SCAN-PATCHES AND BIM-FACES. SHILAP Revista de lepidopterología. XLVI-5/W1-2022. 109–114. 3 indexed citations
4.
Winiwarter, Lukas, Katharina Anders, Daniel Wujanz, & Bernhard Höfle. (2020). INFLUENCE OF RANGING UNCERTAINTY OF TERRESTRIAL LASER SCANNING ON CHANGE DETECTION IN TOPOGRAPHIC 3D POINT CLOUDS. SHILAP Revista de lepidopterología. V-2-2020. 789–796. 8 indexed citations
5.
Wujanz, Daniel, et al.. (2019). On the usability of different optical measuring techniques for joint roughness evaluation. Bulletin of Engineering Geology and the Environment. 79(2). 811–830. 11 indexed citations
6.
Wujanz, Daniel, Luigi Barazzetti, M. Previtali, & Marco Scaioni. (2019). A COMPARATIVE STUDY AMONG THREE REGISTRATION ALGORITHMS: PERFORMANCE, QUALITY ASSURANCE AND ACCURACY. SHILAP Revista de lepidopterología. XLII-2/W9. 779–786. 7 indexed citations
7.
Wujanz, Daniel, et al.. (2018). Identification of stable areas in unreferenced laser scans for automated geomorphometric monitoring. Earth Surface Dynamics. 6(2). 303–317. 21 indexed citations
8.
Rutzinger, Martin, Magnus Bremer, Bernhard Höfle, et al.. (2018). TRAINING IN INNOVATIVE TECHNOLOGIES FOR CLOSE-RANGE SENSING IN ALPINE TERRAIN. SHILAP Revista de lepidopterología. IV-2. 239–246. 11 indexed citations
9.
Wujanz, Daniel, et al.. (2018). Determination of Intensity-Based Stochastic Models for Terrestrial Laser Scanners Utilising 3D-Point Clouds. Sensors. 18(7). 2187–2187. 33 indexed citations
10.
Scaioni, Marco, Bernhard Höfle, Ana Paula Kersting, et al.. (2018). METHODS FROM INFORMATION EXTRACTION FROM LIDAR INTENSITY DATA AND MULTISPECTRAL LIDAR TECHNOLOGY. SHILAP Revista de lepidopterología. XLII-3. 1503–1510. 24 indexed citations
11.
Wujanz, Daniel, et al.. (2018). PLANE-BASED REGISTRATION OF SEVERAL THOUSAND LASER SCANS ON STANDARD HARDWARE. SHILAP Revista de lepidopterología. XLII-2. 1207–1212. 11 indexed citations
12.
Wujanz, Daniel, et al.. (2017). An intensity-based stochastic model for terrestrial laser scanners. ISPRS Journal of Photogrammetry and Remote Sensing. 125. 146–155. 86 indexed citations
13.
Wujanz, Daniel, et al.. (2016). Identification of Stable Areas in Unreferenced Laser Scans for Deformation Measurement. The Photogrammetric Record. 31(155). 261–280. 26 indexed citations
14.
Niemeier, Wolfgang, et al.. (2016). Areal Deformation from TLS Point Clouds – the Challenge. mediaTUM (Technical University of Munich). 123(12). 2 indexed citations
15.
Wujanz, Daniel & Frank Neitzel. (2016). MODEL BASED VIEWPOINT PLANNING FOR TERRESTRIAL LASER SCANNING FROM AN ECONOMIC PERSPECTIVE. SHILAP Revista de lepidopterología. XLI-B5. 607–614. 7 indexed citations
16.
Rutzinger, Martin, Bernhard Höfle, Roderik Lindenbergh, et al.. (2016). CLOSE-RANGE SENSING TECHNIQUES IN ALPINE TERRAIN. SHILAP Revista de lepidopterología. III-6. 15–22. 16 indexed citations
17.
Wujanz, Daniel, et al.. (2013). Terrestrial radar and laser scanning for deformation monitoring: first steps towards assisted radar scanning. SHILAP Revista de lepidopterología. II-5/W2. 325–330. 10 indexed citations
18.
Wujanz, Daniel, et al.. (2013). On data acquisition of moving objects via kinematic terrestrial laser scanning. SHILAP Revista de lepidopterología. II-5/W2. 319–324. 2 indexed citations
19.
Wujanz, Daniel. (2012). TOWARDS TRANSPARENT QUALITY MEASURES IN SURFACE BASED REGISTRATION PROCESSES: EFFECTS OF DEFORMATION ONTO COMMERCIAL AND SCIENTIFIC IMPLEMENTATIONS. SHILAP Revista de lepidopterología. XXXIX-B5. 251–256. 9 indexed citations
20.
Wujanz, Daniel. (2009). Intensity Calibration Method for 3D Laser Scanners. eSpace (Curtin University). 299. 7–13. 1 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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