Rufael Mekuria

31 papers receiving 1.2k citations

Hit Papers

Emerging MPEG Standards for Point Cloud Compression201620262019202220182016100200300400500

Peers

Rufael Mekuria
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 907
  • Computational Mechanics 652
  • Computer Graphics and Computer-Aided Design 595
  • Environmental Engineering 182
  • Signal Processing 175
Replace Marius Preda with:
Marius Preda France
Ernestasia Siahaan Netherlands
Vittorio Baroncini Italy
Madhukar Budagavi United States
Joan Llach United States
Alexis M. Tourapis United States
Jonathan Shade United Kingdom
Kyle Genova United States
Abhishek Kar United States
Michael Potmesil United States
Rufael Mekuria relative to Marius Preda France Marius Preda's profile →
Citations per field
00.5×7.3×
Marius Preda · 1×
Citations per year

Countries citing papers authored by Rufael Mekuria

Since Specialization
Citations

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

Fields of papers citing papers by Rufael Mekuria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rufael Mekuria

This figure shows the co-authorship network connecting the top 25 collaborators of Rufael Mekuria. A scholar is included among the top collaborators of Rufael Mekuria 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 Rufael Mekuria. Rufael Mekuria 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
#WorkIndexed citations
1 0
2 2
3 45
4 40
5
Emerging MPEG Standards for Point Cloud Compressionbreakdown →
509
6 4
7
Evaluation criteria for PCC (Point Cloud Compression)
42
8
Use cases for point cloud compression (PCC)
44
9 12
10
Requirements for point cloud compression
7
11
N15578 Preliminary guidelines for evaluation of Point Cloud compression technologies
1
12 5
13
Point Cloud Compression
1
14 6
15 2
16 9
17 4
18
A Basic Geometry Driven Mesh Coding Scheme with Surface Simplification for 3DTI
5
19 17
20 11

About Rufael Mekuria

Rufael Mekuria is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Advanced Vision and Imaging (11 papers) and Image and Video Quality Assessment (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (595 citations), Computer Vision and Pattern Recognition (907 citations) and Computational Mechanics (652 citations). Rufael Mekuria has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Pablo César, Marius Preda, Zhu Li, Sébastien Lasserre, Joan Llach, Maja Krivokuća, Sebastian Schwarz, Ernestasia Siahaan, Alexis M. Tourapis and Vladyslav Zakharchenko. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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