Nicholas Watters

697 total citations
6 papers, 97 citations indexed

About

Nicholas Watters is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Nicholas Watters has authored 6 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Nicholas Watters's work include Neural dynamics and brain function (2 papers), Neural Networks and Applications (1 paper) and Visual perception and processing mechanisms (1 paper). Nicholas Watters is often cited by papers focused on Neural dynamics and brain function (2 papers), Neural Networks and Applications (1 paper) and Visual perception and processing mechanisms (1 paper). Nicholas Watters collaborates with scholars based in United States and United Kingdom. Nicholas Watters's co-authors include Peter Battaglia, Théophane Weber, Andrea Tacchetti, Daniel Zoran, Razvan Pascanu, Irina Higgins, Alexander Lerchner, Tom Eccles, Alessandro Achille and Löıc Matthey and has published in prestigious journals such as Neural Computation, eNeuro and arXiv (Cornell University).

In The Last Decade

Nicholas Watters

4 papers receiving 92 citations

Peers

Nicholas Watters

AI

CVPR

SNP

CSE

CN

Suneel Belkhale United States

Tsung-Wei Ke United States

Erika Lu United States

Marcin Moczulski United Kingdom

Wendelin Böhmer Netherlands

Vighnesh Birodkar United States

Philipp Dufter Germany

Grégoire Lefebvre France

Peter Wang United States

Suneel Belkhale United States

Nicholas Watters

48 ×0.9

AI

38 ×0.8

CVPR

7 ×0.5

SNP

39 ×3.0

CSE

5 ×0.6

CN

Citations per year, relative to Nicholas Watters Nicholas Watters (= 1×) peers Suneel Belkhale

Countries citing papers authored by Nicholas Watters

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Watters

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Watters

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

6 of 6 papers shown

1.

Watters, Nicholas, et al.. (2025). MEDiCINe: Motion Correction for Neural Electrophysiology Recordings. eNeuro. 12(3). ENEURO.0529–24.2025.

2.

Li, Jason, Nicholas Watters, Hansem Sohn, & Mehrdad Jazayeri. (2022). Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task.

3.

Watters, Nicholas, et al.. (2019). A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.. arXiv (Cornell University). 1 indexed citations

4.

Achille, Alessandro, Tom Eccles, Löıc Matthey, et al.. (2018). Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. Neural Information Processing Systems. 31. 9873–9883. 18 indexed citations

5.

Watters, Nicholas, Daniel Zoran, Théophane Weber, et al.. (2017). Visual Interaction Networks: Learning a Physics Simulator from Video. Neural Information Processing Systems. 30. 4539–4547. 74 indexed citations

6.

Watters, Nicholas & George N. Reeke. (2014). Neuronal Spike Train Entropy Estimation by History Clustering. Neural Computation. 26(9). 1840–1872. 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.

Explore authors with similar magnitude of impact