Hazel Doughty

2.0k total citations · 1 hit paper
13 papers, 455 citations indexed

About

Hazel Doughty is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hazel Doughty has authored 13 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Hazel Doughty's work include Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (9 papers) and Video Analysis and Summarization (4 papers). Hazel Doughty is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Human Pose and Action Recognition (9 papers) and Video Analysis and Summarization (4 papers). Hazel Doughty collaborates with scholars based in Netherlands, United Kingdom and Italy. Hazel Doughty's co-authors include Dima Damen, Michael Wray, Toby Perrett, Antonino Furnari, Jonathan Munro, Davide Moltisanti, Giovanni Maria Farinella, Evangelos Kazakos, Will Price and Walterio Mayol‐Cuevas 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

Hazel Doughty

12 papers receiving 439 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.

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

2021 188 citations Dima Damen, Hazel Doughty et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hazel Doughty Netherlands	6	351	183	51	33	28	13	455
Harish Haresamudram United States	6	282 0.8×	126 0.7×	95 1.9×	36 1.1×	38 1.4×	16	350
Akram Bayat United States	5	306 0.9×	105 0.6×	152 3.0×	32 1.0×	19 0.7×	8	437
Sungyong Lee South Korea	5	161 0.5×	73 0.4×	68 1.3×	10 0.3×	35 1.3×	11	324
Ramyar Saeedi United States	14	213 0.6×	122 0.7×	123 2.4×	9 0.3×	32 1.1×	20	381
Pau Climent-Pérez Spain	10	465 1.3×	191 1.0×	161 3.2×	100 3.0×	18 0.6×	23	570
Shenggao Zhu China	11	356 1.0×	111 0.6×	47 0.9×	17 0.5×	10 0.4×	16	517
Md Abdullah Al Hafiz Khan United States	12	261 0.7×	174 1.0×	77 1.5×	14 0.4×	34 1.2×	32	405
Tonmoy Ghosh United States	14	86 0.2×	61 0.3×	54 1.1×	13 0.4×	19 0.7×	46	507
Sreenivasan Ramasamy Ramamurthy United States	8	229 0.7×	94 0.5×	84 1.6×	13 0.4×	27 1.0×	20	349
Majid Janidarmian Canada	10	151 0.4×	50 0.3×	181 3.5×	20 0.6×	17 0.6×	27	447

Countries citing papers authored by Hazel Doughty

Since Specialization

Citations

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

Fields of papers citing papers by Hazel Doughty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hazel Doughty

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

13 of 13 papers shown

1.

Perrett, Toby, K. Liu, Siddhant Bansal, et al.. (2025). HD-EPIC: A Highly-Detailed Egocentric Video Dataset. Bristol Research (University of Bristol). 23901–23913. 2 indexed citations

2.

Zhang, Yunhua, Hazel Doughty, & Cees G. M. Snoek. (2024). Low-Resource Vision Challenges for Foundation Models. Leiden Repository (Leiden University). 21956–21966. 4 indexed citations

3.

Doughty, Hazel, et al.. (2024). Day2Dark: Pseudo-Supervised Activity Recognition Beyond Silent Daylight. International Journal of Computer Vision. 133(4). 2136–2157.

4.

Doughty, Hazel, et al.. (2024). Background no more: Action recognition across domains by causal interventions. Computer Vision and Image Understanding. 242. 103975–103975. 1 indexed citations

5.

Doughty, Hazel, et al.. (2023). Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. 13766–13777. 2 indexed citations

6.

Zhang, Yunhua, Hazel Doughty, Ling Shao, & Cees G. M. Snoek. (2022). Audio-Adaptive Activity Recognition Across Video Domains. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13781–13790. 17 indexed citations

7.

Doughty, Hazel & Cees G. M. Snoek. (2022). How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13822–13832. 12 indexed citations

8.

Damen, Dima, Hazel Doughty, Giovanni Maria Farinella, et al.. (2021). Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100. International Journal of Computer Vision. 130(1). 33–55. 188 indexed citations breakdown →

9.

Damen, Dima, Hazel Doughty, Giovanni Maria Farinella, et al.. (2020). The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 4125–4141. 104 indexed citations

10.

Skinner, Andy, et al.. (2018). StopWatch: The Preliminary Evaluation of a Smartwatch-Based System for Passive Detection of Cigarette Smoking. Nicotine & Tobacco Research. 21(2). 257–261. 45 indexed citations

11.

Doughty, Hazel, Dima Damen, & Walterio Mayol‐Cuevas. (2018). Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination. Explore Bristol Research. 6057–6066. 75 indexed citations

12.

Munafò, Marcus R., et al.. (2017). StopWatch: A smartwatch based system for passive detection of cigarette smoking. OSF Preprints (OSF Preprints). 1 indexed citations

13.

Doughty, Hazel, Dima Damen, & Walterio Mayol‐Cuevas. (2017). Who's Better, Who's Best: Skill Determination in Video using Deep Ranking.. arXiv (Cornell University). 4 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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