scholarly-metadata
dblp (CS bibliography)
The curated computer-science bibliography, indexing around seven million publications from CS journals and conferences with carefully maintained author records. Search it on dblp.org or through its free API. Its scope is strictly computer science, but within that field it is often the cleanest, most reliable record of who published what, where, and when.
Why it’s useful & how it works
dblp stands apart from general scholarly indexes because it is meticulously curated by hand for the computer science domain, meaning its author records are disambiguated and its conference and journal coverage is carefully maintained. If you need a reliable, clean record of a CS researcher's publication list or want to find everything published at a specific conference or in a specific journal, dblp is usually more trustworthy than a larger but less curated index. You can search by author, title, or venue on dblp.org, or retrieve structured data in JSON, XML, or BibTeX via its free API. Scope is strictly computer science.
What’s inside
More than eight million publications indexed as of 2025, drawn from thousands of CS journals and conference proceedings, with carefully maintained author pages for more than three million researchers.
API access
https://dblp.org/search/publ/api?q=...&format=json ; SPARQL https://sparql.dblp.org/sparql
What we measured
Our own probes, not the archive’s own claims. Re-run periodically; every reading below is dated.
Reachability
- Direct request
- Responded HTTP 200 13.6 s
- Through a datacenter proxy
- Responded HTTP 200 7.2 s
- API, direct
- Responded HTTP 200 2.5 s
- API, through a proxy
- Responded HTTP 200 3.3 s
Did a real search return anything?
Returned results · 10 results for the sample query · median 2.1 s · stable across runs
Sample query: An enhanced deep learning framework for DeepFake detection using EfficientNet-B3 comparative evaluation of deep and machine learning techniques.
Benchmark coverage
Found 8 of 9 test items (89%) in the Academic papers cluster. Median response 2.1 s.
By how well known the item is: 3/3 well-known, 3/4 mid, 2/2 obscure .
One item it found: Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau conside
Reachability measured 2026-08-22. Search checked 2026-08-22. Benchmark run 2026-08-22.
Access
Programmatic API access (a key may be required, see the API tag).