Maja Krivokuća

951 total citations · 1 hit paper
14 papers, 669 citations indexed

About

Maja Krivokuća is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Maja Krivokuća has authored 14 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Maja Krivokuća's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (8 papers). Maja Krivokuća is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (9 papers) and Advanced Vision and Imaging (8 papers). Maja Krivokuća collaborates with scholars based in United States, France and New Zealand. Maja Krivokuća's co-authors include Philip A. Chou, Robert Cohen, Zhu Li, Vittorio Baroncini, Vladyslav Zakharchenko, Madhukar Budagavi, Ernestasia Siahaan, Pablo César, Alexis M. Tourapis and Marius Preda and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Signal Processing Letters.

In The Last Decade

Maja Krivokuća

12 papers receiving 652 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging MPEG Standards for Point Cloud Compression

2018 509 citations Sebastian Schwarz, Marius Preda et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maja Krivokuća United States	7	496	403	372	114	96	14	669
Khaled Mammou United States	4	478 1.0×	379 0.9×	352 0.9×	103 0.9×	92 1.0×	5	637
Vladyslav Zakharchenko United States	7	648 1.3×	385 1.0×	367 1.0×	104 0.9×	134 1.4×	8	805
Danillo B. Graziosi United States	7	330 0.7×	253 0.6×	235 0.6×	76 0.7×	96 1.0×	17	466
Joan Llach United States	10	539 1.1×	301 0.7×	288 0.8×	88 0.8×	110 1.1×	21	703
Vittorio Baroncini Italy	9	640 1.3×	303 0.8×	286 0.8×	88 0.8×	207 2.2×	24	794
Teruhiko Suzuki United States	5	322 0.6×	165 0.4×	156 0.4×	59 0.5×	147 1.5×	10	455
Pan Gao China	12	345 0.7×	119 0.3×	105 0.3×	47 0.4×	108 1.1×	61	474
Emil Dumić Croatia	11	307 0.6×	165 0.4×	152 0.4×	57 0.5×	42 0.4×	51	447
Thiago Ize United States	12	371 0.7×	249 0.6×	476 1.3×	43 0.4×	80 0.8×	15	542
Julien Philip United States	9	698 1.4×	316 0.8×	526 1.4×	45 0.4×	14 0.1×	14	835

Countries citing papers authored by Maja Krivokuća

Since Specialization

Citations

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

Fields of papers citing papers by Maja Krivokuća

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Krivokuća

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

14 of 14 papers shown

Krivokuća, Maja, et al.. (2025). Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes. IEEE Transactions on Image Processing. 34. 1810–1819.

Krivokuća, Maja, et al.. (2023). A Motion-Compensated Inter-Frame Attribute Coding Scheme for Dynamic Dense Point Clouds. 1–6. 1 indexed citations

Krivokuća, Maja, et al.. (2022). Compression of Time-Varying Textured Meshes using Patch Tiling and Image-based Tracking. 1–6. 13 indexed citations

Krivokuća, Maja, et al.. (2021). Compression of Plenoptic Point Cloud Attributes Using 6-D Point Clouds and 6-D Transforms. IEEE Transactions on Multimedia. 25. 593–607. 7 indexed citations

Krivokuća, Maja & Christine Guillemot. (2020). Colour Compression of Plenoptic Point Clouds Using Raht-Klt with Prior Colour Clustering and Specular/Diffuse Component Separation. 1978–1982. 6 indexed citations

Krivokuća, Maja, et al.. (2019). A Volumetric Approach to Point Cloud Compression–Part II: Geometry Compression. IEEE Transactions on Image Processing. 29. 2217–2229. 49 indexed citations

Chou, Philip A., et al.. (2019). A Volumetric Approach to Point Cloud Compression—Part I: Attribute Compression. IEEE Transactions on Image Processing. 29. 2203–2216. 51 indexed citations

Chou, Philip A., et al.. (2019). Integer Alternative for the Region-Adaptive Hierarchical Transform. IEEE Signal Processing Letters. 26(9). 1369–1372. 12 indexed citations

Schwarz, Sebastian, Marius Preda, Vittorio Baroncini, et al.. (2018). Emerging MPEG Standards for Point Cloud Compression. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(1). 133–148. 509 indexed citations breakdown →

10.

Krivokuća, Maja, Waleed H. Abdulla, & Burkhard C. Wünsche. (2017). Progressive Compression of 3D Mesh Geometry Using Sparse Approximations from Redundant Frame Dictionaries. ETRI Journal. 39(1). 1–12. 2 indexed citations

11.

Cohen, Robert, Maja Krivokuća, Chen Feng, et al.. (2017). Compression of 3-D point clouds using hierarchical patch fitting. 4033–4037. 10 indexed citations

12.

Cohen, Robert, et al.. (2016). Representation and coding of large-scale 3D dynamic maps. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9971. 99710T–99710T. 1 indexed citations

13.

Krivokuća, Maja, Waleed H. Abdulla, & Burkhard C. Wünsche. (2013). Sparse Approximations of 3D Mesh Geometry Using Frames as Overcomplete Dictionaries. ResearchSpace (University of Auckland). 5914. 660–667. 4 indexed citations

14.

Krivokuća, Maja, Burkhard C. Wünsche, & Waleed H. Abdulla. (2012). A new error metric for geometric shape distortion using depth values from orthographic projections. 388–393. 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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