Awesome Time Series

Papers Topics Trending Leaderboards Authors Datasets Learn Ask AI Map Tools Packs News Videos

BrowsePapersThe full index, filterable and sortable.TopicsThe same papers grouped by subject tag.TrendingWhat moved this week, and by how much.AuthorsWho publishes here, and who they publish with.MapThe collection laid out by embedding similarity.

CompareLeaderboardsBenchmark tables, with the paper behind each number.DatasetsThe datasets these papers train and evaluate on.ToolsCode and libraries released alongside the papers.

ReadLearnOrdered routes from background reading to current work.Ask AIAsk a question and get answers cited to these papers.VideosThe most-watched talks and lectures in this field.PacksShort curated sets built around one question.

FollowNewsPress and coverage tied back to the papers.BlogsAuthor and lab write-ups of their own work.NewsletterEmail digest of what changed, on a schedule.Research RadarPaste an abstract, get matches across every collection.

YoursSavedPapers you bookmarked in this browser.

← authors · overview

Loading author…

Stay Updated

E-Mail Digest Research Radar

Submit a paper · Privacy · Terms

© 2026 Awesome Papers.

Neil Caithness and David Wallom — most-cited papers & profile · Time Series

← authors · overview

Neil Caithness and David Wallom

1 papers · 0 citations

Google Scholar ↗Semantic Scholar ↗OpenAlex ↗

Most-cited papers

Anomaly Detection for Industrial Big Data
2018

Topics

Anomaly Detection