Titus Zaharia

1.9k total citations
60 papers, 805 citations indexed

About

Titus Zaharia is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Human-Computer Interaction. According to data from OpenAlex, Titus Zaharia has authored 60 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 10 papers in Human-Computer Interaction. Recurrent topics in Titus Zaharia's work include Advanced Image and Video Retrieval Techniques (19 papers), Video Analysis and Summarization (12 papers) and Advanced Vision and Imaging (12 papers). Titus Zaharia is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Video Analysis and Summarization (12 papers) and Advanced Vision and Imaging (12 papers). Titus Zaharia collaborates with scholars based in France, Romania and United States. Titus Zaharia's co-authors include Ruxandra Țapu, Bogdan Mocanu, Françoise Prêteux, Franç̧oise Prêteux, Marius Preda, Vladyslav Zakharchenko, Euee S. Jang, Andrei Bursuc, Rachid Guerchouche and Matei Mancaş and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and Sensors.

In The Last Decade

Titus Zaharia

56 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Titus Zaharia France 14 465 253 177 140 137 60 805
Tevfik Metin Sezgin Türkiye 19 429 0.9× 322 1.3× 59 0.3× 369 2.6× 61 0.4× 81 1.2k
Lifeng Zhu China 13 199 0.4× 91 0.4× 144 0.8× 137 1.0× 140 1.0× 64 617
Marcelo Kallmann United States 20 616 1.3× 43 0.2× 64 0.4× 190 1.4× 71 0.5× 76 1.1k
Julius Kammerl Germany 12 241 0.5× 255 1.0× 152 0.9× 194 1.4× 139 1.0× 26 765
Paul Asente United States 18 687 1.5× 128 0.5× 186 1.1× 376 2.7× 319 2.3× 54 1.1k
Tolga Çapın Türkiye 15 498 1.1× 69 0.3× 62 0.4× 257 1.8× 131 1.0× 61 823
Roger Hubbold United Kingdom 18 520 1.1× 183 0.7× 73 0.4× 305 2.2× 246 1.8× 54 960
Rubaiat Habib Kazi United States 15 643 1.4× 151 0.6× 98 0.6× 577 4.1× 137 1.0× 40 1.0k
Alla Safonova United States 17 1.1k 2.4× 37 0.1× 138 0.8× 128 0.9× 90 0.7× 37 1.4k
Céline Loscos France 13 564 1.2× 70 0.3× 46 0.3× 135 1.0× 223 1.6× 33 777

Countries citing papers authored by Titus Zaharia

Since Specialization
Citations

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

Fields of papers citing papers by Titus Zaharia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Titus Zaharia

This figure shows the co-authorship network connecting the top 25 collaborators of Titus Zaharia. A scholar is included among the top collaborators of Titus Zaharia 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 Titus Zaharia. Titus Zaharia 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
1.
Țapu, Ruxandra, et al.. (2023). Vision-Text Cross-Modal Fusion for Accurate Video Captioning. IEEE Access. 11. 115477–115492. 3 indexed citations
2.
Mocanu, Bogdan, Ruxandra Țapu, & Titus Zaharia. (2023). Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning. Image and Vision Computing. 133. 104676–104676. 56 indexed citations
3.
Preda, Marius, et al.. (2022). A low-cost AR training system for manual assembly operations. Computer Science and Information Systems. 19(2). 1047–1073. 4 indexed citations
4.
Mancaş, Matei, et al.. (2022). FasterAI: A Lightweight Library for Neural Networks Compression. Electronics. 11(22). 3789–3789. 1 indexed citations
5.
Mocanu, Bogdan, Ruxandra Țapu, & Titus Zaharia. (2021). Content Targeted Ad Insertion in Temporal Structured Video Documents. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 1 indexed citations
6.
Mocanu, Bogdan, Ruxandra Țapu, & Titus Zaharia. (2021). Utterance Level Feature Aggregation with Deep Metric Learning for Speech Emotion Recognition. Sensors. 21(12). 4233–4233. 13 indexed citations
7.
Preda, Marius, et al.. (2021). Exploring Low-Cost Visual Assets for Conveying Assembly Instructions in AR. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 11 indexed citations
8.
Zaharia, Titus, et al.. (2021). Active learning to measure opinion and violence in French newspapers. Procedia Computer Science. 192. 202–211. 1 indexed citations
9.
Zaharia, Titus, et al.. (2020). Real-Time Public Transportation Prediction with Machine Learning Algorithms. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 5 indexed citations
10.
Zaharia, Titus, et al.. (2020). Optimizing Image Compression With Deep Super-Resolution Techniques. IEEE Consumer Electronics Magazine. 9(5). 91–101. 2 indexed citations
11.
Țapu, Ruxandra, et al.. (2019). Enhancing the Accessibility of Hearing Impaired to Video Content through Fully Automatic Dynamic Captioning. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 5 indexed citations
12.
Țapu, Ruxandra, Bogdan Mocanu, & Titus Zaharia. (2018). Wearable assistive devices for visually impaired: A state of the art survey. Pattern Recognition Letters. 137. 37–52. 118 indexed citations
13.
Zaharia, Titus, et al.. (2017). Building recognition with adaptive interest point selection. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
14.
Mocanu, Bogdan, Ruxandra Țapu, & Titus Zaharia. (2017). Automatic extraction of story units from TV news. HAL (Le Centre pour la Communication Scientifique Directe). 414–415. 1 indexed citations
15.
Zaharia, Titus, et al.. (2017). Laban movement analysis and hidden Markov models for dynamic 3D gesture recognition. EURASIP Journal on Image and Video Processing. 2017(1). 13 indexed citations
16.
Țapu, Ruxandra, Bogdan Mocanu, & Titus Zaharia. (2016). A computer vision-based perception system for visually impaired. Multimedia Tools and Applications. 76(9). 11771–11807. 21 indexed citations
17.
Țapu, Ruxandra, Bogdan Mocanu, & Titus Zaharia. (2014). Real time static/dynamic obstacle detection for visually impaired persons. HAL (Le Centre pour la Communication Scientifique Directe). 394–395. 17 indexed citations
18.
Țapu, Ruxandra, et al.. (2013). A computer vision system that ensure the autonomous navigation of blind people. 1–4. 33 indexed citations
19.
Bursuc, Andrei, et al.. (2012). ARTEMIS.Ubimedia at TRECVID 2012: Instance Search Task.. TRECVID. 2 indexed citations
20.
Bursuc, Andrei, et al.. (2011). ARTEMIS-UBIMEDIA at TRECVid 2011 : instance search.. TRECVID. 1 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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