Miguel Granados

545 total citations
11 papers, 249 citations indexed

About

Miguel Granados is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Miguel Granados has authored 11 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Miguel Granados's work include Image Enhancement Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Miguel Granados is often cited by papers focused on Image Enhancement Techniques (6 papers), Advanced Vision and Imaging (5 papers) and Computer Graphics and Visualization Techniques (4 papers). Miguel Granados collaborates with scholars based in Germany, Canada and Colombia. Miguel Granados's co-authors include Christian Theobalt, Hendrik P. A. Lensch, Hans‐Peter Seidel, James Tompkin, Boris Ajdin, Michael Wand, Kwang In Kim, Oliver Grau, Jan Kautz and Oscar Ruiz-Salguero and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and Computers & Graphics.

In The Last Decade

Miguel Granados

9 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Granados Germany	5	225	57	25	15	15	11	249
Mikaël Le Pendu France	9	292 1.3×	54 0.9×	22 0.9×	14 0.9×	20 1.3×	20	321
Ali Mosleh Canada	10	218 1.0×	99 1.7×	12 0.5×	15 1.0×	11 0.7×	15	283
Assaf Shocher Israel	4	246 1.1×	101 1.8×	34 1.4×	6 0.4×	14 0.9×	6	275
Xuanhong Chen China	8	163 0.7×	74 1.3×	41 1.6×	3 0.2×	28 1.9×	20	202
Jinglei Shi China	7	201 0.9×	60 1.1×	10 0.4×	9 0.6×	3 0.2×	15	235
Sylvain Paris United States	6	362 1.6×	103 1.8×	79 3.2×	16 1.1×	33 2.2×	7	387
Levent Karacan Türkiye	5	233 1.0×	83 1.5×	22 0.9×	18 1.2×	13 0.9×	13	256
Majed El Helou Switzerland	6	143 0.6×	93 1.6×	10 0.4×	7 0.5×	7 0.5×	18	170
Abhijith Punnappurath India	8	204 0.9×	73 1.3×	10 0.4×	33 2.2×	3 0.2×	20	229
Guangqi Hou China	7	234 1.0×	86 1.5×	6 0.2×	13 0.9×	5 0.3×	11	257

Countries citing papers authored by Miguel Granados

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Granados

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Granados

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Granados. A scholar is included among the top collaborators of Miguel Granados 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 Miguel Granados. Miguel Granados 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:

11 of 11 papers shown

1.

Granados, Miguel, et al.. (2015). Contrast-Use Metrics for Tone Mapping Images. 21. 1–8. 3 indexed citations

2.

Granados, Miguel, et al.. (2015). HDR image noise estimation for denoising tone mapped images. 1–8. 3 indexed citations

3.

Granados, Miguel, Kwang In Kim, James Tompkin, & Christian Theobalt. (2013). Automatic noise modeling for ghost-free HDR reconstruction. ACM Transactions on Graphics. 32(6). 1–10. 49 indexed citations

4.

Granados, Miguel, et al.. (2012). How Not to Be Seen — Object Removal from Videos of Crowded Scenes. Computer Graphics Forum. 31(2pt1). 219–228. 47 indexed citations

5.

Granados, Miguel, James Tompkin, Kwang J. Kim, et al.. (2011). How Not to Be Seen - Inpainting Dynamic Objects in Crowded Scenes. MPG.PuRe (Max Planck Society).

6.

Granados, Miguel, Boris Ajdin, Michael Wand, et al.. (2010). Optimal HDR reconstruction with linear digital cameras. Max Planck Institute for Plasma Physics. 215–222. 110 indexed citations

7.

Granados, Miguel, Hans‐Peter Seidel, & Hendrik P. A. Lensch. (2008). Background estimation from non-time sequence images. Graphics Interface. 33–40. 24 indexed citations

8.

Ruiz-Salguero, Oscar, et al.. (2005). FEA-driven Geometric Modelling for Meshless Methods. 3 indexed citations

9.

Ruiz-Salguero, Oscar, et al.. (2004). 2D shape similarity as a complement for Voronoi–Delone methods in shape reconstruction. Computers & Graphics. 29(1). 81–94. 6 indexed citations

10.

Ruiz-Salguero, Oscar, et al.. (2003). Usage of 2D Region Similarity For Surface Reconstruction From Planar Samples.

11.

Ruiz-Salguero, Oscar, et al.. (2002). Evaluation 2D Shape Likeness for Surface Reconstruction. El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT). 16–24. 4 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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