I’ve now res­ur­rected the col­lec­tion of research jour­nals that I fol­low, and set it up as a shared col­lec­tion in feedly. So any­one can eas­ily sub­scribe to all of the same jour­nals, or select a sub­set of them, to fol­low on feedly.

There are about 90 jour­nals on the list, mostly in sta­tis­tics, but some from machine learn­ing, oper­a­tions research and econo­met­rics. I excluded prob­a­bil­ity jour­nals, and areas of appli­ca­tion that are well out­side my research inter­ests (such as bioin­for­mat­ics, psy­chol­ogy and phar­ma­col­ogy). But I included every sta­tis­ti­cal method­ol­ogy jour­nal that was rated A, A* or B by the Aus­tralian ERA exer­cise in 2010, and sev­eral of the C jour­nals as well (includ­ing, of course, the grossly under-​​rated Jour­nal of Sta­tis­ti­cal Soft­ware). I also included the good new jour­nals that have appeared since then includ­ing Annual Reviews and Sta­tis­tics & Pub­lic Pol­icy. I included the best regional jour­nals (includ­ing ANZJS, Sta­tis­tica Neer­landica, Cana­dian J Sta­tis­tics, Scan­di­na­vian J. Sta­tis­tics, and J. Korean Sta­tis­ti­cal Soci­ety). The two fore­cast­ing jour­nals are on the list of course, plus the four A* jour­nals and a cou­ple of A jour­nals in econo­met­rics. Finally, I included the best machine learn­ing, data min­ing, and oper­a­tions research jour­nals — as rated on the ERA 2010 list.

Where pos­si­ble, I use the “new arti­cles” feed so that arti­cles appear as soon they are online rather than after they appear in print. Some pub­lish­ers seem to be stuck in the print era, and only pro­vide a feed for arti­cles in print.

Unfor­tu­nately, some of the pub­lish­ers also make it dif­fi­cult to get the appro­pri­ate RSS feed from the jour­nal web­site. Wiley is great — requir­ing just one click from the front page of the jour­nal. Springer requires two clicks if you know where to look. Else­vier has an appalling pro­ce­dure requir­ing about 5 or 6 clicks, and when you finally get the feed into feedly, the title is wrong (every jour­nal becomes “Sci­enceDi­rect Pub­li­ca­tions”). Some pub­lish­ers had the feed hid­den so deep that they clearly don’t want any­one using it.

My final beef with the pub­lish­ers, is that they occa­sion­ally change the RSS feeds with­out warn­ing, and then the sys­tem breaks. I spent sev­eral hours fix­ing up my feeds because Springer and Else­vier went and broke things that pre­vi­ously worked.

In addi­tion to the jour­nal feeds, I have also included in the col­lec­tion any new work­ing papers that appear in the Sta­tis­tics sec­tion of arXiv, plus any new fore­cast­ing papers that appear on RePEc (in the NEP-​​FOR report).

Thanks to feedly for allow­ing me to pub­lish this as a “feedly col­lec­tion”. This is a new fea­ture in feedly that is not yet avail­able to all users, but I was given advanced access in order to demon­strate how it could be used.