Alice Lucas

3.0k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Alice Lucas is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Molecular Biology. According to data from OpenAlex, Alice Lucas has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 3 papers in Molecular Biology. Recurrent topics in Alice Lucas's work include Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (8 papers) and Advanced Vision and Imaging (5 papers). Alice Lucas is often cited by papers focused on Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (8 papers) and Advanced Vision and Imaging (5 papers). Alice Lucas collaborates with scholars based in United States, Spain and France. Alice Lucas's co-authors include Anne E. Carpenter, Beth A. Cimini, David R. Stirling, Allen Goodman, Aggelos K. Katsaggelos, Rafael Molina, Michael Iliadis, Bin Li, Pearl V. Ryder and Kevin W. Eliceiri and has published in prestigious journals such as Molecular Biology of the Cell, BMC Bioinformatics and IEEE Signal Processing Magazine.

In The Last Decade

Alice Lucas

14 papers receiving 1.4k 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.

CellProfiler 4: improvements in speed, utility and usability

2021 960 citations David R. Stirling, Alice Lucas et al. BMC Bioinformatics profile →
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

2018 352 citations Alice Lucas, Michael Iliadis et al. IEEE Signal Processing Magazine profile →

Peers

Countries citing papers authored by Alice Lucas

Since Specialization

Citations

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

Fields of papers citing papers by Alice Lucas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alice Lucas

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	CellProfiler 4: improvements in speed, utility and usability breakdown → 2021 ·BMC Bioinformatics ·David R. Stirling, (unknown), Alice Lucas, Anne E. Carpenter, Beth A. Cimini, Allen Goodman	960
2	Open-source deep-learning software for bioimage segmentation 2021 ·Molecular Biology of the Cell ·Alice Lucas, Pearl V. Ryder, Bin Li, Beth A. Cimini, Kevin W. Eliceiri, Anne E. Carpenter	43
3	A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models 2020 ·Digital Signal Processing ·(unknown), Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos	14
4	Gated Recurrent Networks for Video Super Resolution 2020 ·(unknown), Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos	4
5	Neural Networks for Modeling Neural Spiking in S1 Cortex 2019 ·Frontiers in Systems Neuroscience ·Alice Lucas, Tucker Tomlinson, Neda Rohani, Raeed H. Chowdhury, Sara A. Solla, Aggelos K. Katsaggelos, Lee E. Miller	9
6	Semantic Prior Based Generative Adversarial Network for Video Super-Resolution 2019 ·(unknown), Alice Lucas, (unknown), Xijun Wang, (unknown), Rafael Molina, Aggelos K. Katsaggelos	2
7	Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model 2019 ·(unknown), Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos	2
8	Spatially Adaptive Losses for Video Super-resolution with GANs 2019 ·Xijun Wang, Alice Lucas, (unknown), (unknown), Rafael Molina, Aggelos K. Katsaggelos	4
9	Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems 2019 ·Alice Lucas, (unknown), Rafael Molina, Aggelos K. Katsaggelos	1
10	A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution 2019 ·Xijun Wang, Alice Lucas, (unknown), (unknown), Rafael Molina, Aggelos K. Katsaggelos	1
11	Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model 2019 ·(unknown), Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos	1
12	Association between increased retinal background noise and co-occurrent regular cannabis and alcohol use 2018 ·Progress in Neuro-Psychopharmacology and Biological Psychiatry ·Alice Lucas, (unknown), (unknown), (unknown), Karine Angioï-Duprez, Vincent Laprévote, Thomas Schwitzer	18
13	Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods breakdown → 2018 ·IEEE Signal Processing Magazine ·Alice Lucas, Michael Iliadis, Rafael Molina, Aggelos K. Katsaggelos	352
14	Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution 2018 ·Alice Lucas, Aggelos K. Katsaggelos, (unknown), Rafael Molina	27
15	An enhanced training method for speech recognition in the VODIS project 2003 ·International Conference on Acoustics, Speech, and Signal Processing ·(unknown), Yu-An Chung, (unknown), Alice Lucas	1

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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