Gerald Schweighofer

622 total citations
12 papers, 426 citations indexed

About

Gerald Schweighofer is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Gerald Schweighofer has authored 12 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 4 papers in Geology. Recurrent topics in Gerald Schweighofer's work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and 3D Surveying and Cultural Heritage (4 papers). Gerald Schweighofer is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and 3D Surveying and Cultural Heritage (4 papers). Gerald Schweighofer collaborates with scholars based in Austria. Gerald Schweighofer's co-authors include Axel Pinz, Horst Bischof, Matthias Rüther, Siniša Šegvić, Andreas Opelt, Walter G. Kropatsch, Yll Haxhimusa, Adrian Ion and Miguel Ribo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and ELCVIA Electronic Letters on Computer Vision and Image Analysis.

In The Last Decade

Gerald Schweighofer

11 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerald Schweighofer Austria	7	357	332	57	31	24	12	426
Patrick Sayd France	11	415 1.2×	258 0.8×	74 1.3×	22 0.7×	30 1.3×	20	490
Kyungdon Joo South Korea	14	352 1.0×	241 0.7×	85 1.5×	19 0.6×	47 2.0×	37	470
Vincent Gay‐Bellile France	10	288 0.8×	218 0.7×	63 1.1×	13 0.4×	39 1.6×	24	357
Ricardo Vázquez-Martín Spain	11	253 0.7×	197 0.6×	30 0.5×	42 1.4×	56 2.3×	36	367
Miguel Ribo Austria	7	272 0.8×	182 0.5×	50 0.9×	28 0.9×	67 2.8×	15	357
Denis Chekhlov United Kingdom	8	331 0.9×	280 0.8×	93 1.6×	13 0.4×	67 2.8×	8	434
Sisi You China	7	316 0.9×	170 0.5×	35 0.6×	11 0.4×	30 1.3×	15	378
Fangshi Wang China	8	260 0.7×	184 0.6×	43 0.8×	23 0.7×	42 1.8×	15	332
Carl Yuheng Ren United Kingdom	7	381 1.1×	282 0.8×	149 2.6×	24 0.8×	20 0.8×	10	436
Ezio Malis France	12	459 1.3×	317 1.0×	26 0.5×	49 1.6×	35 1.5×	19	538

Countries citing papers authored by Gerald Schweighofer

Since Specialization

Citations

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

Fields of papers citing papers by Gerald Schweighofer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Schweighofer

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Schweighofer. A scholar is included among the top collaborators of Gerald Schweighofer 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 Gerald Schweighofer. Gerald Schweighofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Rüther, Matthias, et al.. (2011). GPSlam: Marrying Sparse Geometric and Dense Probabilistic Visual Mapping. 115.1–115.12. 17 indexed citations

2.

Rüther, Matthias, et al.. (2011). Fast and accurate environment modeling using three-dimensional occupancy grids. 12 indexed citations

3.

Rüther, Matthias, et al.. (2010). An omnidirectional Time-of-Flight camera and its application to indoor SLAM. 988–993. 5 indexed citations

4.

Schweighofer, Gerald & Axel Pinz. (2008). Globally Optimal O(n) Solution to the PnP Problem for General Camera Models. 55.1–55.10. 94 indexed citations

5.

Schweighofer, Gerald, Siniša Šegvić, & Axel Pinz. (2008). Online/Realtime Structure and Motion for General Camera Models. 1–6. 9 indexed citations

6.

Pinz, Axel, Horst Bischof, Walter G. Kropatsch, et al.. (2008). Representations for Cognitive Vision:A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 7(2). 35–61. 10 indexed citations

7.

Šegvić, Siniša, Gerald Schweighofer, & Axel Pinz. (2007). Performance evaluation of the five-point relative pose with emphasis on planar scenes. 33–40. 4 indexed citations

8.

Šegvić, Siniša, Gerald Schweighofer, & Axel Pinz. (2007). Influence of numerical conditioning on the accuracy of relative orientation. 1–8. 2 indexed citations

9.

Schweighofer, Gerald & Axel Pinz. (2006). Fast and globally convergent Structure and Motion estimation for General Camera Models. 16.1–16.10. 15 indexed citations

10.

Schweighofer, Gerald & Axel Pinz. (2006). Robust Pose Estimation from a Planar Target. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(12). 2024–2030. 254 indexed citations

11.

Schweighofer, Gerald, Miguel Ribo, & Axel Pinz. (2004). Sparse 3D Reconstruction of a Room. 141–148. 1 indexed citations

12.

Schweighofer, Gerald, Andreas Opelt, & Axel Pinz. (2004). Improved Object Categorization by Unsupervised Object Localization. 0–0. 3 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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