Robert Sablatnig

3.2k total citations
149 papers, 1.8k citations indexed

About

Robert Sablatnig is a scholar working on Computer Vision and Pattern Recognition, Geology and Archeology. According to data from OpenAlex, Robert Sablatnig has authored 149 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computer Vision and Pattern Recognition, 41 papers in Geology and 19 papers in Archeology. Recurrent topics in Robert Sablatnig's work include Image Processing and 3D Reconstruction (61 papers), Handwritten Text Recognition Techniques (48 papers) and 3D Surveying and Cultural Heritage (41 papers). Robert Sablatnig is often cited by papers focused on Image Processing and 3D Reconstruction (61 papers), Handwritten Text Recognition Techniques (48 papers) and 3D Surveying and Cultural Heritage (41 papers). Robert Sablatnig collaborates with scholars based in Austria, Pakistan and Switzerland. Robert Sablatnig's co-authors include Markus Diem, Stefan Fiel, Martin Kampel, Florian Kleber, Sajid Saleem, Khalid Bashir Bajwa, Nouman Ali, Walter G. Kropatsch, Abdul Bais and Zahid Mehmood and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Robert Sablatnig

146 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Sablatnig Austria 21 1.5k 356 327 228 162 149 1.8k
Natasha Gelfand United States 23 1.8k 1.1× 211 0.6× 480 1.5× 58 0.3× 90 0.6× 34 2.2k
Ian Simon United States 10 1.6k 1.1× 106 0.3× 422 1.3× 140 0.6× 24 0.1× 18 2.0k
Luciano Silva Brazil 18 956 0.6× 35 0.1× 323 1.0× 51 0.2× 39 0.2× 85 1.4k
Olga Regina Pereira Bellon Brazil 18 915 0.6× 31 0.1× 324 1.0× 38 0.2× 39 0.2× 64 1.3k
Aladine Chetouani France 16 448 0.3× 138 0.4× 72 0.2× 39 0.2× 17 0.1× 89 741
J.‐A. Beraldin Canada 24 899 0.6× 96 0.3× 1.1k 3.2× 7 0.0× 165 1.0× 106 1.8k
Edgar Simo‐Serra Japan 19 2.6k 1.7× 262 0.7× 101 0.3× 274 1.2× 5 0.0× 54 3.0k
Felipe Lumbreras Spain 14 611 0.4× 114 0.3× 50 0.2× 56 0.2× 38 0.2× 50 852
Frédéric Fol Leymarie United Kingdom 13 849 0.6× 52 0.1× 65 0.2× 101 0.4× 25 0.2× 65 1.2k
Guohua Geng China 14 296 0.2× 43 0.1× 125 0.4× 86 0.4× 25 0.2× 144 680

Countries citing papers authored by Robert Sablatnig

Since Specialization
Citations

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

Fields of papers citing papers by Robert Sablatnig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Sablatnig

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Sablatnig. A scholar is included among the top collaborators of Robert Sablatnig 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 Robert Sablatnig. Robert Sablatnig 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.
Zambanini, Sebastian, et al.. (2024). Making Archives Searchable: Vision-Language Models for Classification of Historical Aerial Imagery. 1–8. 1 indexed citations
2.
3.
Sablatnig, Robert, et al.. (2023). Preserving Colour Fidelity in Photogrammetry—An Empirically Grounded Study and Workflow for Cultural Heritage Preservation. Heritage. 6(8). 5700–5718. 1 indexed citations
4.
Zambanini, Sebastian, et al.. (2020). Detection of Parking Cars in Stereo Satellite Images. Remote Sensing. 12(13). 2170–2170. 17 indexed citations
5.
Saleem, Sajid, Abdul Bais, & Robert Sablatnig. (2016). Towards feature points based image matching between satellite imagery and aerial photographs of agriculture land. Computers and Electronics in Agriculture. 126. 12–20. 14 indexed citations
6.
Machajdik, Jana, et al.. (2013). A Keyframe Selection of Lifelog Image Sequences. Machine Vision and Applications. 33–36. 5 indexed citations
7.
Haxhimusa, Yll, et al.. (2012). Classification of gothic and baroque architectural elements. International Conference on Systems, Signals and Image Processing. 316–319. 8 indexed citations
8.
Sablatnig, Robert, et al.. (2011). Layout Analysis for Historical Manuscripts Using Sift Features. 508–512. 26 indexed citations
9.
Sablatnig, Robert, et al.. (2011). Using local features for efficient layout analysis of ancient manuscripts. European Signal Processing Conference. 1259–1263. 9 indexed citations
10.
Sablatnig, Robert, et al.. (2011). Image Acquisition & Processing Routines for Damaged Manuscripts. SHILAP Revista de lepidopterología. 6(0). 1 indexed citations
11.
Zambanini, Sebastian, Robert Sablatnig, Harald Maier, & Georg Langs. (2010). Automatic image-based assessment of lesion development during hemangioma follow-up examinations. Artificial Intelligence in Medicine. 50(2). 83–94. 14 indexed citations
12.
Kleber, Florian, Markus Diem, & Robert Sablatnig. (2010). Document reconstruction by layout analysis of snippets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7531. 753107–753107. 5 indexed citations
13.
Diem, Markus, Florian Kleber, & Robert Sablatnig. (2009). Analysis of document snippets as a basis for reconstruction. 101–108. 2 indexed citations
14.
Bais, Abdul, et al.. (2007). Propagation of Uncertainty in Landmark Based Self-localization of Autonomous Mobile Robots. Machine Vision and Applications. 343–346. 2 indexed citations
15.
Sablatnig, Robert & Otmar Scherzer. (2007). Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications. International Conference on Signal Processing. 1 indexed citations
16.
Rosenhahn, Bodo, Thomas Brox, Joachim Weickert, et al.. (2005). Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation.. Max Planck Institute for Plasma Physics. 109–116. 1 indexed citations
17.
Kropatsch, Walter G., Robert Sablatnig, & Allan Hanbury. (2005). Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations
18.
Sablatnig, Robert & Walter G. Kropatsch. (2002). Application constraints in the design of an automatic reading device for analog display instruments. 205–212. 8 indexed citations
19.
Sablatnig, Robert & Christian Menard. (1997). 3D Reconstruction of Archaeological Pottery using Profile Primitives. 9 indexed citations
20.
Sablatnig, Robert, et al.. (1996). Computer based acquisition of archaeological finds: the first step towards automatic classification. Archeologia e Calcolatori. 429–446. 20 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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