Maximilian Jaritz

1.0k total citations
4 papers, 379 citations indexed

About

Maximilian Jaritz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Maximilian Jaritz has authored 4 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Maximilian Jaritz's work include Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Maximilian Jaritz is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Maximilian Jaritz collaborates with scholars based in France and United States. Maximilian Jaritz's co-authors include Émilie Wirbel, Raoul de Charette, Patrick Pérez, Fawzi Nashashibi, Xavier Perrotton and Tuan-Hung Vu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Maximilian Jaritz

4 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maximilian Jaritz France	4	309	99	75	74	66	4	379
Émilie Wirbel France	7	347 1.1×	112 1.1×	93 1.2×	75 1.0×	68 1.0×	12	439
Visesh Chari India	11	457 1.5×	167 1.7×	48 0.6×	38 0.5×	24 0.4×	20	542
Sunghoon Im South Korea	13	441 1.4×	135 1.4×	58 0.8×	207 2.8×	28 0.4×	35	517
Shuaifeng Zhi China	9	329 1.1×	142 1.4×	70 0.9×	16 0.2×	50 0.8×	26	487
Tuan-Hung Vu France	7	205 0.7×	42 0.4×	121 1.6×	12 0.2×	53 0.8×	8	288
Fei-Peng Tian China	8	297 1.0×	133 1.3×	18 0.2×	90 1.2×	22 0.3×	11	346
Oliver Wasenmüller Germany	9	189 0.6×	122 1.2×	26 0.3×	19 0.3×	23 0.3×	29	280
Georg Kuschk Germany	10	191 0.6×	172 1.7×	32 0.4×	26 0.4×	80 1.2×	18	337
Tai Wang China	6	172 0.6×	88 0.9×	21 0.3×	14 0.2×	49 0.7×	9	240
Yueh-Cheng Liu Taiwan	6	151 0.5×	52 0.5×	61 0.8×	23 0.3×	31 0.5×	7	223

Countries citing papers authored by Maximilian Jaritz

Since Specialization

Citations

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

Fields of papers citing papers by Maximilian Jaritz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maximilian Jaritz

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

All Works

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4 of 4 papers shown

1.

Jaritz, Maximilian, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, & Patrick Pérez. (2022). Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 1533–1544. 39 indexed citations

2.

Jaritz, Maximilian, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, & Patrick Pérez. (2020). xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation. 12602–12611. 150 indexed citations

3.

Jaritz, Maximilian, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, & Fawzi Nashashibi. (2018). Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations

4.

Jaritz, Maximilian, Raoul de Charette, Émilie Wirbel, Xavier Perrotton, & Fawzi Nashashibi. (2018). Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation. arXiv (Cornell University). 52–60. 182 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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