How to know if X and Y have coauthored?

Is there any tool where one can figure out if two people have coauthored or not? Like the tool where one can figure out somebody's Erdos _number_ .

• related: 1 Aug 9 '11 at 10:06

4 Answers

In computer science, DBLP might be a better idea than MathSciNet. Your own page in DBLP lists all your coauthors; the database is certainly not complete, but usually the information is correct.

You can also try to use Google Scholar, with a search similar to this:

author:foo author:bar


As always with Google Scholar, double-check the results.

• I just tried comparing DBLP to MathSciNet for my own list of co-authors. DBLP was quite a bit more complete than MathSciNet but there was at least one pair of co-authors that MathSciNet found and DBLP missed (on a math paper, of course — with Greg Kuperberg and Günter Ziegler). So combining answers from multiple sources is probably a better answer than just picking a single database. Aug 31 '11 at 23:11

Complementing Jukka's answer: There's a Java-based tool called DBL-Browser, which uses DBLP and provides you with lots of graphical charts, like this:

It uses the same database as DBLP. It can be used both online or offline. You must download the whole DBLP database (~ 60MB) in order to use it offline.

• Is there a recent version of the DBLP database for download? Oct 31 '10 at 16:56
• The current version seems to be 2-3 years old. I don't know if there's a newer version, but I'm eager to know too. Contacting the author might be the best option. Oct 31 '10 at 18:04
• Wow, that's really cool. Thanks for the link! Nov 10 '10 at 17:23
• the reference to the Erdős number calculator is to MathSciNet, so I think the OP is looking for something similar but based on DBLP or other CS-focused publications databases. Oct 31 '10 at 12:52
• Actually, the MathSciNet listing of coauthors of a given author is a different feature than its collaboration distance calculator. Aug 31 '11 at 23:12

There is also Microsoft Academic Search if you're looking for graphical display of coauthor graphs, although it does not appear to be a finished product content-wise.

• But like Google Scholar, ALWAYS double-check the results. Nov 1 '10 at 19:21