Neil Alldrin

3.6k total citations · 2 hit papers
11 papers, 2.1k citations indexed

About

Neil Alldrin is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Neil Alldrin has authored 11 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Neil Alldrin's work include Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Neil Alldrin is often cited by papers focused on Advanced Neural Network Applications (5 papers), Multimodal Machine Learning Applications (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Neil Alldrin collaborates with scholars based in United States, Switzerland and Germany. Neil Alldrin's co-authors include Ivan Krasin, Tom Duerig, Vittorio Ferrari, Alina Kuznetsova, Jasper Uijlings, Shahab Kamali, Jordi Pont-Tuset, Stefan Popov, Alexander Kolesnikov and David Kriegman and has published in prestigious journals such as International Journal of Computer Vision, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and arXiv (Cornell University).

In The Last Decade

Neil Alldrin

11 papers receiving 2.0k citations

Hit Papers

The Open Images Dataset V4: Unified image classification,... 2018 2026 2020 2023 2018 2018 250 500 750
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.

  1. 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 →
  2. 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 Career Trend Papers Cites
Neil Alldrin United States 9 1.5k 815 266 117 102 11 2.1k
Stefan Popov United States 12 1.4k 0.9× 645 0.8× 361 1.4× 192 1.6× 103 1.0× 15 2.0k
Sean Bell United States 7 1.7k 1.1× 401 0.5× 165 0.6× 128 1.1× 207 2.0× 7 2.0k
Steve Branson United States 14 983 0.7× 746 0.9× 98 0.4× 182 1.6× 86 0.8× 16 1.8k
Anyi Rao Hong Kong 9 1.2k 0.8× 744 0.9× 316 1.2× 190 1.6× 81 0.8× 19 2.1k
Arun Mallya United States 13 1.2k 0.8× 716 0.9× 117 0.4× 78 0.7× 66 0.6× 16 1.7k
Jianming Zhang China 22 1.1k 0.8× 485 0.6× 125 0.5× 65 0.6× 238 2.3× 85 1.8k
Weiming Dong China 26 2.1k 1.4× 388 0.5× 336 1.3× 133 1.1× 356 3.5× 118 2.7k
Adrian G. Borş United Kingdom 25 1.2k 0.8× 522 0.6× 280 1.1× 112 1.0× 99 1.0× 130 1.8k
Changqing Zou China 20 959 0.6× 497 0.6× 198 0.7× 295 2.5× 59 0.6× 63 1.5k

Countries citing papers authored by Neil Alldrin

Since Specialization
Citations

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

Fields of papers citing papers by Neil Alldrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Alldrin

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

All Works

11 of 11 papers shown
1.
Alldrin, Neil, Otilia Stretcu, Hao Xiong, et al.. (2024). Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. 17553–17563. 5 indexed citations
2.
Stretcu, Otilia, Krishnamurthy Viswanathan, Vittorio Ferrari, et al.. (2023). Agile Modeling: From Concept to Classifier in Minutes. 22266–22277. 5 indexed citations
3.
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
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). 960 indexed citations breakdown →
5.
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 →
6.
Veit, Andreas, Neil Alldrin, Gal Chechik, et al.. (2017). Learning from Noisy Large-Scale Datasets with Minimal Supervision. 6575–6583. 264 indexed citations
7.
Alldrin, Neil, Todd Zickler, & David Kriegman. (2008). Photometric stereo with non-parametric and spatially-varying reflectance. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 1–8. 168 indexed citations
8.
9.
Alldrin, Neil, Satya P. Mallick, & David Kriegman. (2007). Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization. 1–7. 78 indexed citations
10.
Alldrin, Neil & David Kriegman. (2006). A Planar Light Probe. 2. 2324–2330. 8 indexed citations
11.
Reznik, Dan, John Canny, & Neil Alldrin. (2002). Leaving on a plane jet. 1. 202–207. 14 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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