Barbara Friedl

411 total citations
20 papers, 307 citations indexed

About

Barbara Friedl is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Barbara Friedl has authored 20 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management, Monitoring, Policy and Law, 8 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in Barbara Friedl's work include Landslides and related hazards (16 papers), Remote Sensing and Land Use (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Barbara Friedl is often cited by papers focused on Landslides and related hazards (16 papers), Remote Sensing and Land Use (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Barbara Friedl collaborates with scholars based in Austria, Taiwan and Slovakia. Barbara Friedl's co-authors include Daniel Hölbling, Clemens Eisank, Florian Albrecht, Arben Koçiu, Ján Vlčko, Gaia Righini, Herwig Proske, Oscar Mora, Francesca Cigna and Nicola Casagli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing Applications Society and Environment and Geosciences.

In The Last Decade

Barbara Friedl

17 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Friedl Austria 5 260 131 109 69 62 20 307
Jin-King Liu Taiwan 9 182 0.7× 122 0.9× 66 0.6× 37 0.5× 101 1.6× 20 317
Mustafa Ridha Mezaal Malaysia 7 206 0.8× 149 1.1× 56 0.5× 16 0.2× 72 1.2× 13 295
Qisong Jiao China 11 202 0.8× 48 0.4× 126 1.2× 69 1.0× 44 0.7× 33 378
John Mathew India 7 335 1.3× 242 1.8× 134 1.2× 18 0.3× 36 0.6× 9 426
Tianjun Qi China 12 363 1.4× 176 1.3× 176 1.6× 23 0.3× 29 0.5× 22 426
Herwig Proske Austria 8 250 1.0× 132 1.0× 147 1.3× 47 0.7× 28 0.5× 15 307
Toussaint Mugaruka Bibentyo Democratic Republic of the Congo 7 266 1.0× 162 1.2× 155 1.4× 58 0.8× 20 0.3× 13 332
Arip Syaripudin Nur South Korea 7 156 0.6× 172 1.3× 46 0.4× 29 0.4× 65 1.0× 12 310
C. Albinet Italy 11 79 0.3× 64 0.5× 100 0.9× 193 2.8× 209 3.4× 32 377
Junchuan Yu China 10 169 0.7× 95 0.7× 90 0.8× 33 0.5× 94 1.5× 25 388

Countries citing papers authored by Barbara Friedl

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Friedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Friedl

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Friedl. A scholar is included among the top collaborators of Barbara Friedl 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 Barbara Friedl. Barbara Friedl 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.
Hölbling, Daniel, Barbara Friedl, & Clemens Eisank. (2019). Correction to: An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan. Earth Science Informatics. 12(2). 275–275. 3 indexed citations
2.
Prasicek, Günther, et al.. (2018). Detection of Landslide-induced River Course Changes and Lake Formation on Remote Sensing Data. AGUFM. 2018.
3.
Prasicek, Günther, et al.. (2018). Detection and analysis of River course changes and lake formation - The RiCoLa Project. EGUGA. 7768. 1 indexed citations
4.
Friedl, Barbara, et al.. (2018). Detection of landslide-dammed lakes and triggering landslides in Taiwan using Landsat imagery. EGU General Assembly Conference Abstracts. 14915.
5.
Prasicek, Günther, et al.. (2018). Detecting landslide-induced paleolakes and their impact on river course. EGU General Assembly Conference Abstracts. 6349. 1 indexed citations
6.
Hölbling, Daniel, et al.. (2017). Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors. Geosciences. 7(2). 37–37. 51 indexed citations
7.
Albrecht, Florian, Daniel Hölbling, & Barbara Friedl. (2017). ASSESSING THE AGREEMENT BETWEEN EO-BASED SEMI-AUTOMATED LANDSLIDE MAPS WITH FUZZY MANUAL LANDSLIDE DELINEATION. SHILAP Revista de lepidopterología. XLII-2/W7. 439–446. 2 indexed citations
8.
Casagli, Nicola, Francesca Cigna, Silvia Bianchini, et al.. (2016). Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER. Remote Sensing Applications Society and Environment. 4. 92–108. 117 indexed citations
9.
Hölbling, Daniel, et al.. (2016). EO-based landslide mapping: from methodological developments to automated web-based information delivery. 102–103. 1 indexed citations
10.
Friedl, Barbara, Daniel Hölbling, Clemens Eisank, & Thomas Blaschke. (2015). Object-based landslide detection in different geographic regions. EGUGA. 774. 1 indexed citations
11.
Hölbling, Daniel, Barbara Friedl, Clemens Eisank, & Thomas Blaschke. (2015). Object-based landslide mapping on satellite images from different sensors. EGU General Assembly Conference Abstracts. 511. 1 indexed citations
12.
Hölbling, Daniel, Barbara Friedl, & Clemens Eisank. (2015). An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan. Earth Science Informatics. 8(2). 327–335. 95 indexed citations
13.
Friedl, Barbara & Daniel Hölbling. (2015). Using SAR Interferograms and Coherence Images for Object-Based Delineation of Unstable Slopes. 4 indexed citations
14.
Plank, Simon, Daniel Hölbling, Clemens Eisank, et al.. (2015). Comparing object-based landslide detection methods based on polarimetric SAR and optical satellite imagery - a case study in Taiwan. elib (German Aerospace Center). 729. 59. 11 indexed citations
15.
Hölbling, Daniel, Barbara Friedl, & Clemens Eisank. (2014). Object-based change detection for landslide monitoring based on SPOT imagery. EGUGA. 10634. 1 indexed citations
16.
Vanhuysse, Sabine, et al.. (2014). Object‐Based image analysis for detecting indicators of mine presence to support suspected hazardous area re‐delineation. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 3(2). 525–529. 1 indexed citations
17.
Eisank, Clemens, et al.. (2014). Expert knowledge for object-based landslide mapping in Taiwan. 347–350. 15 indexed citations
18.
Hölbling, Daniel, et al.. (2014). Pixel-based and object-based landslide mapping: a methodological comparison. 1 indexed citations
19.
Hölbling, Daniel, et al.. (2014). An object-based method for mapping landslides on various optical satellite imagery - transferability and applicability across spatial resolutions. 1 indexed citations
20.
Friedl, Barbara, Daniel Hölbling, & Petra Füreder. (2012). Combining TerraSAR-X and SPOT-5 data for object-based landslide detection.

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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