Ask HN: How to discover new and interesting papers?

• arxiv-sanity-lite

  17 1,084 0.0 Python

  arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

• ORCID-Source

  10 351 9.8 Java

  ORCID Open Source Project

  

Here are a few options to consider. First, Google Scholar. If you're logged into Google it will make a handful of recommendations on its front page. I've not really paid attention to how good the recommendations are. It says they're based on your Google Scholar record and alerts, so I guess you'll need both/one of those for it to work.

https://scholar.google.com

Second, Scopus from Elsevier (a company that plenty of people dislike). You'll need to create an account, and I don't know if non-academic accounts have the same access as academic ones. It has a new "researcher discovery" function I've not used so again can't vouch for its quality. You can set up various alerts apparently, although again I've not used them.

https://scopus.com

If an author is registered on ORCID you can check their works, but it doesn't appear that anything like RSS feeds are available, unfortunately. Plenty of journals have RSS feeds, but you'll have to hunt them down yourself.

https://orcid.org

Finally, you might want to check out other platforms and preprint servers, which might have better alerts etc. Try OSF, which hosts a bunch of preprint servers, and also provides hosting for documents and files that accompany published papers. However, it looks like there isn't much comp-sci stuff on there.

https://osf.io

I guess you could have a look at figshare.com too for similar reasons.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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