Vlad Hondru

17 total papers · 1.5k total citations
5 papers, 782 citations indexed

About

Vlad Hondru is a scholar working on Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Vlad Hondru has authored 5 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Vlad Hondru's work include Fetal and Pediatric Neurological Disorders (1 paper), Robotic Path Planning Algorithms (1 paper) and Advanced Neural Network Applications (1 paper). Vlad Hondru is often cited by papers focused on Fetal and Pediatric Neurological Disorders (1 paper), Robotic Path Planning Algorithms (1 paper) and Advanced Neural Network Applications (1 paper). Vlad Hondru collaborates with scholars based in United States, Romania and Italy. Vlad Hondru's co-authors include Florinel-Alin Croitoru, Radu Tudor Ionescu, Mubarak Shah, Barry Lennox, Farshad Arvin, Shervin Minaee, Nicu Sebe and Mubarak Shah and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.

In The Last Decade

Vlad Hondru

4 papers receiving 756 citations

Hit Papers

Diffusion Models in Visio... 2023 2026 2024 2023 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vlad Hondru 326 200 77 60 54 5 782
Florinel-Alin Croitoru 333 1.0× 212 1.1× 78 1.0× 60 1.0× 54 1.0× 7 796
Yang Song 239 0.7× 181 0.9× 69 0.9× 32 0.5× 37 0.7× 4 677
Shoubhik Debnath 308 0.9× 136 0.7× 65 0.8× 77 1.3× 29 0.5× 9 657
C. H. Chen 390 1.2× 240 1.2× 59 0.8× 102 1.7× 56 1.0× 12 855
Toshiki Kataoka 587 1.8× 239 1.2× 42 0.5× 52 0.9× 30 0.6× 6 742
Richard M. Crownover 329 1.0× 150 0.8× 40 0.5× 54 0.9× 29 0.5× 7 896
Cheng-Ze Lu 458 1.4× 153 0.8× 56 0.7× 152 2.5× 18 0.3× 7 734
Alaaeldin El-Nouby 418 1.3× 338 1.7× 77 1.0× 52 0.9× 34 0.6× 6 793
Stamatios Georgoulis 492 1.5× 348 1.7× 62 0.8× 60 1.0× 28 0.5× 19 908
Anamika Dhillon 270 0.8× 220 1.1× 82 1.1× 38 0.6× 34 0.6× 2 775

Countries citing papers authored by Vlad Hondru

Since Specialization
Citations

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

Fields of papers citing papers by Vlad Hondru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vlad Hondru

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

All Works

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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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