Ivan Krasin

3.3k total citations · 2 hit papers
5 papers, 1.8k citations indexed

About

Ivan Krasin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ivan Krasin has authored 5 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Computational Mechanics and 1 paper in Artificial Intelligence. Recurrent topics in Ivan Krasin's work include Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Ivan Krasin is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). Ivan Krasin collaborates with scholars based in United States, Switzerland and Canada. Ivan Krasin's co-authors include Neil Alldrin, Shahab Kamali, Alina Kuznetsova, Jordi Pont-Tuset, Jasper Uijlings, Tom Duerig, Stefan Popov, Alexander Kolesnikov, Vittorio Ferrari and Serge Belongie and has published in prestigious journals such as International Journal of Computer Vision and arXiv (Cornell University).

In The Last Decade

Ivan Krasin

5 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

2018 960 citations Alina Kuznetsova, Neil Alldrin et al. arXiv (Cornell University) profile →
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

2018 378 citations Alina Kuznetsova, Neil Alldrin et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Krasin United States	5	1.2k	808	98	91	85	5	1.8k
Neil Alldrin United States	9	1.5k 1.2×	815 1.0×	102 1.0×	93 1.0×	89 1.0×	11	2.1k
Alina Kuznetsova United States	9	1.3k 1.1×	713 0.9×	88 0.9×	89 1.0×	91 1.1×	12	1.8k
Tom Duerig United States	6	1.1k 0.9×	631 0.8×	87 0.9×	87 1.0×	76 0.9×	6	1.5k
Stefan Popov United States	12	1.4k 1.1×	645 0.8×	103 1.1×	95 1.0×	109 1.3×	15	2.0k
Shahab Kamali United States	8	1.1k 0.9×	652 0.8×	87 0.9×	83 0.9×	83 1.0×	13	1.6k
Ronghang Hu United States	13	1.5k 1.2×	1.1k 1.4×	106 1.1×	105 1.2×	72 0.8×	17	2.2k
Junho Yim South Korea	7	1.4k 1.1×	797 1.0×	110 1.1×	72 0.8×	51 0.6×	12	1.9k
Jianwei Yang United States	13	2.0k 1.6×	1.3k 1.7×	118 1.2×	77 0.8×	89 1.0×	22	2.5k
Mircea Cimpoi United Kingdom	5	1.5k 1.2×	776 1.0×	214 2.2×	107 1.2×	141 1.7×	6	2.0k
Tao Mei China	27	2.2k 1.8×	846 1.0×	108 1.1×	70 0.8×	110 1.3×	102	2.9k

Countries citing papers authored by Ivan Krasin

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Krasin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Krasin

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

5 of 5 papers shown

1.

Sabour, Sara, et al.. (2023). RobustNeRF: Ignoring Distractors with Robust Losses. 20626–20636. 29 indexed citations

2.

Kuznetsova, Alina, Neil Alldrin, Jasper Uijlings, et al.. (2020). The Open Images Dataset V4. International Journal of Computer Vision. 128(7). 1956–1981. 130 indexed citations

3.

Kuznetsova, Alina, Neil Alldrin, Jasper Uijlings, et al.. (2018). The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. arXiv (Cornell University). 960 indexed citations breakdown →

4.

Kuznetsova, Alina, Neil Alldrin, Jasper Uijlings, et al.. (2018). The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale. arXiv (Cornell University). 128(7). 1956–1981. 378 indexed citations breakdown →

5.

Veit, Andreas, Neil Alldrin, Gal Chechik, et al.. (2017). Learning from Noisy Large-Scale Datasets with Minimal Supervision. 6575–6583. 264 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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