Simon Hawe

437 total citations
11 papers, 265 citations indexed

About

Simon Hawe is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Simon Hawe has authored 11 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 4 papers in Biomedical Engineering. Recurrent topics in Simon Hawe's work include Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Image Processing Techniques and Applications (3 papers). Simon Hawe is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Image Processing Techniques and Applications (3 papers). Simon Hawe collaborates with scholars based in Germany. Simon Hawe's co-authors include Martin Kleinsteuber, Klaus Diepold and Michael E. Zwick and has published in prestigious journals such as International Journal of Computer Vision, Applied Soft Computing and Information Fusion.

In The Last Decade

Simon Hawe

10 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Hawe Germany	7	204	105	83	33	26	11	265
Jean-Yves Bouguet United States	7	344 1.7×	41 0.4×	78 0.9×	31 0.9×	58 2.2×	10	403
Shoulie Xie Singapore	9	187 0.9×	65 0.6×	54 0.7×	35 1.1×	15 0.6×	51	295
Xi’ai Chen China	8	215 1.1×	123 1.2×	89 1.1×	24 0.7×	6 0.2×	32	290
Chih-Fan Chen United States	5	227 1.1×	69 0.7×	153 1.8×	50 1.5×	18 0.7×	12	316
Suyun Rao China	5	281 1.4×	80 0.8×	121 1.5×	41 1.2×	30 1.2×	12	339
Charilaos I. Kanatsoulis United States	7	177 0.9×	163 1.6×	80 1.0×	35 1.1×	13 0.5×	15	315
A.R.P. Ragozini Italy	4	187 0.9×	56 0.5×	27 0.3×	53 1.6×	33 1.3×	8	279
Pravin Bhat United States	6	562 2.8×	83 0.8×	90 1.1×	15 0.5×	27 1.0×	8	615
Miaohua Zhang Australia	8	110 0.5×	56 0.5×	37 0.4×	15 0.5×	17 0.7×	17	182

Countries citing papers authored by Simon Hawe

Since Specialization

Citations

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

Fields of papers citing papers by Simon Hawe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Hawe

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

All Works

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11 of 11 papers shown

Hawe, Simon, et al.. (2014). A Bimodal Co-sparse Analysis Model for Image Processing. International Journal of Computer Vision. 114(2-3). 233–247. 9 indexed citations

Hawe, Simon & Martin Kleinsteuber. (2013). Analysis based blind compressive sensing. 14 indexed citations

Hawe, Simon, et al.. (2013). A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1545–1552. 78 indexed citations

Hawe, Simon. (2013). Learning Sparse Data Models via Geometric Optimization with Applications to Image Processing. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations

Hawe, Simon, et al.. (2013). Separable Dictionary Learning. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 438–445. 69 indexed citations

Hawe, Simon, Martin Kleinsteuber, & Klaus Diepold. (2012). Cartoon-like image reconstruction via constrained ℓ<inf>p</inf>-minimization. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 717–720. 5 indexed citations

Hawe, Simon, et al.. (2012). A Swarm Intelligence inspired algorithm for contour detection in images. Applied Soft Computing. 13(6). 3118–3129. 11 indexed citations

Hawe, Simon, Martin Kleinsteuber, & Klaus Diepold. (2011). Dense disparity maps from sparse disparity measurements. 2126–2133. 62 indexed citations

Hawe, Simon, et al.. (2010). Dynamical information fusion of heterogeneous sensors for 3D tracking using particle swarm optimization. Information Fusion. 12(4). 275–283. 13 indexed citations

10.

Hawe, Simon, et al.. (2009). MutanT: A modular and generic tool for multi-sensor data processing. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1304–1309. 2 indexed citations

11.

Hawe, Simon, et al.. (2009). Optical flow reliability measures and their applicability for multi-sensor fusion. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 527–531. 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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