Roberto Mecca

583 total citations
19 papers, 284 citations indexed

About

Roberto Mecca is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Roberto Mecca has authored 19 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Roberto Mecca's work include Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Optical measurement and interference techniques (9 papers). Roberto Mecca is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Optical measurement and interference techniques (9 papers). Roberto Mecca collaborates with scholars based in United Kingdom, Italy and Germany. Roberto Mecca's co-authors include Roberto Cipolla, Alfred M. Bruckstein⋆, Ron Kimmel, Ignas Budvytis, Maurizio Falcone, Martí Duocastella, Yvain Quéau, Emanuele Rodolà, Daniel Cremers and Ariel Tankus and has published in prestigious journals such as International Journal of Computer Vision, Image and Vision Computing and Computers & Graphics.

In The Last Decade

Roberto Mecca

19 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Mecca United Kingdom	10	253	162	64	53	25	19	284
Yvain Quéau France	8	192 0.8×	85 0.5×	48 0.8×	73 1.4×	28 1.1×	27	250
Zhipeng Mo China	6	222 0.9×	148 0.9×	62 1.0×	53 1.0×	28 1.1×	11	257
Jens Ackermann Germany	9	236 0.9×	143 0.9×	52 0.8×	55 1.0×	33 1.3×	13	296
Marcos Fajardo United States	10	215 0.8×	216 1.3×	97 1.5×	36 0.7×	32 1.3×	15	299
Fujun Luan United States	12	287 1.1×	313 1.9×	240 3.8×	32 0.6×	18 0.7×	27	401
Borom Tunwattanapong United States	6	311 1.2×	176 1.1×	141 2.2×	26 0.5×	8 0.3×	12	350
Zhouyan He China	9	169 0.7×	33 0.2×	68 1.1×	23 0.4×	31 1.2×	34	228
Ikeuchi Japan	9	260 1.0×	106 0.7×	46 0.7×	25 0.5×	12 0.5×	15	326
Jonathan Dupuy Canada	7	219 0.9×	263 1.6×	187 2.9×	19 0.4×	14 0.6×	11	314
Matthias Innmann Germany	3	97 0.4×	49 0.3×	30 0.5×	34 0.6×	10 0.4×	4	160

Countries citing papers authored by Roberto Mecca

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Mecca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Mecca

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Loch, Adam, et al.. (2024). Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers. 8122–8131. 7 indexed citations

Glück, Tobias, et al.. (2023). Surface sampling for optimal viewpoint generation. 1–7. 3 indexed citations

Mecca, Roberto, et al.. (2022). A CNN Based Approach for the Point-Light Photometric Stereo Problem. International Journal of Computer Vision. 131(1). 101–120. 17 indexed citations

Budvytis, Ignas, et al.. (2021). PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12737–12746. 37 indexed citations

Budvytis, Ignas, et al.. (2020). PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks. 12757–12766. 3 indexed citations

Budvytis, Ignas, et al.. (2020). A CNN Based Approach for the Near-Field Photometric Stereo Problem. Cambridge University Engineering Department Publications Database. 2 indexed citations

Mecca, Roberto, et al.. (2018). A Differential Approach to Shape from Polarisation: A Level-Set Characterisation. International Journal of Computer Vision. 127(11-12). 1680–1693. 8 indexed citations

Mecca, Roberto, et al.. (2017). Semi-Calibrated Near Field Photometric Stereo. Apollo (University of Cambridge). 4521–4530. 26 indexed citations

Mecca, Roberto, et al.. (2017). A Differential Approach to Shape from Polarization. 3 indexed citations

10.

Mecca, Roberto, et al.. (2017). A Differential Approach to Shape from Polarization. Apollo (University of Cambridge). 3 indexed citations

11.

Mecca, Roberto, et al.. (2016). Direct Differential Photometric Stereo Shape Recovery of Diffuse and Specular Surfaces. Journal of Mathematical Imaging and Vision. 56(1). 57–76. 27 indexed citations

12.

Mecca, Roberto, et al.. (2016). A Single-Lobe Photometric Stereo Approach for Heterogeneous Material. SIAM Journal on Imaging Sciences. 9(4). 1858–1888. 19 indexed citations

13.

Quéau, Yvain, Roberto Mecca, Jean‐Denis Durou, & Xavier Descombes. (2016). Photometric stereo with only two images: A theoretical study and numerical resolution. Image and Vision Computing. 57. 175–191. 7 indexed citations

14.

Mecca, Roberto, Emanuele Rodolà, & Daniel Cremers. (2015). Realistic photometric stereo using partial differential irradiance equation ratios. Computers & Graphics. 51. 8–16. 15 indexed citations

15.

Mecca, Roberto, et al.. (2014). A Direct Differential Approach to Photometric Stereo with Perspective Viewing. SIAM Journal on Imaging Sciences. 7(2). 579–612. 14 indexed citations

16.

Mecca, Roberto, et al.. (2014). Near Field Photometric Stereo with Point Light Sources. SIAM Journal on Imaging Sciences. 7(4). 2732–2770. 55 indexed citations

17.

Kimmel, Ron, et al.. (2014). Close-Range Photometric Stereo with Point Light Sources. 115–122. 14 indexed citations

18.

Mecca, Roberto & Maurizio Falcone. (2013). Uniqueness and Approximation of a Photometric Shape-from-Shading Model. SIAM Journal on Imaging Sciences. 6(1). 616–659. 19 indexed citations

19.

Mecca, Roberto, et al.. (2013). Direct Shape Recovery from Photometric Stereo with Shadows. 382–389. 5 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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