The fate of published peer-reviewed articles, submitted again (1982)
journals.cambridge.org
journals.cambridge.org
http://far.human.cornell.edu/FAR/uploads/webcv/sjc9_webcv.pd...
lists his extensive publications (you hope that most of those got better peer review after his 1982 paper than psychology papers used to). Google Scholar
http://scholar.google.com/scholar?hl=en&q=Stephen+Ceci...
helpfully lists some papers by Ceci for which there are free full-text versions that you or I can download for our learning and reading pleasure.
From Jelte Wicherts (another psychologist skeptical about peer review in psychology) writing in Frontiers of Computational Neuroscience (an open-access journal) comes a much more recent set of general suggestions
Jelte M. Wicherts, Rogier A. Kievit, Marjan Bakker and Denny Borsboom. Letting the daylight in: reviewing the reviewers and other ways to maximize transparency in science. Front. Comput. Neurosci., 03 April 2012 doi: 10.3389/fncom.2012.00020
http://www.frontiersin.org/Computational_Neuroscience/10.338...
on how to make the peer-review process in scientific publishing more reliable. Wicherts does a lot of research on this issue to try to reduce the number of dubious publications in his main discipline, the psychology of human intelligence.
"With the emergence of online publishing, opportunities to maximize transparency of scientific research have grown considerably. However, these possibilities are still only marginally used. We argue for the implementation of (1) peer-reviewed peer review, (2) transparent editorial hierarchies, and (3) online data publication. First, peer-reviewed peer review entails a community-wide review system in which reviews are published online and rated by peers. This ensures accountability of reviewers, thereby increasing academic quality of reviews. Second, reviewers who write many highly regarded reviews may move to higher editorial positions. Third, online publication of data ensures the possibility of independent verification of inferential claims in published papers. This counters statistical errors and overly positive reporting of statistical results. We illustrate the benefits of these strategies by discussing an example in which the classical publication system has gone awry, namely controversial IQ research. We argue that this case would have likely been avoided using more transparent publication practices. We argue that the proposed system leads to better reviews, meritocratic editorial hierarchies, and a higher degree of replicability of statistical analyses."
1. Time
2. One-way communication
1. You sometimes have to waste a lot of time to get articles published. The way the current process works, it is very easy for referees who are either competitors, incompetent, or simply assholes to effectively filibuster the review process. Even when things go smoothly the process is often agonizingly slow.
2. The peer-review process operates under the obsolete limitation of snail-mail correspondence. There is no two-way communication between the referees. Referees often return either unprofessional or obviously wrong (to everyone but the editor!) comments. If the referees could talk to each other this would be sorted out quickly. It doesn't help that editors are typically very reluctant to reconsider rejection verdicts even when they are based on clear cases of referee error.
How would I address this? Use the #$%@!ing internet people! Journals should abandon this one-way snail-mail process and build a private message board for each paper being reviewed. Referees are invited to post their comments anonymously on the forum. Other referees and, ideally, the authors could then reply to those comments. After a reasonable time period has elapsed, perhaps a couple of weeks, the editor should take stock of what valid concerns remain and reach a verdict.
That said, I review for conferences that are taking advantage of the internet, with author response to reviewer comments, discussions among the reviewers, etc.
EDIT: Oops, I didn't see Cornell there, I take it back.
Buy the way, I'd love to see this research taken one step further, in a humoristic direction: a full statistical analysis comparing the predictive power of academic affiliation in determining acceptance for publication, to that of the contents of the paper itself. :P
Second, the OP describes a snob effect, but there is also the reverse: Some referees will be more patient in dealing with badly organized or poorly written papers from a junior researcher. Not necessarily lower standards, but spending more time figuring out the paper, making suggestions for improvement.
Any citation for this? I'm curious, because in physics, although this is often suggested, it has not been generally adopted.
I guess I should've said "this is standard in most disciplines ... that I know about". I'm really surprised that it isn't done in physics!
In computer vision journals, reviewing is only half-duplex blind -- the reviewers can see who you are, but not vice versa.
At least The European Geosciences Union publishes 15 academic journals that do exactly that. (They're also Open Access, and CC-licensed.)
http://www.egu.eu/publications/open-access-journals/
Some on them, like Atmospheric Chemistry and Physics, are also pretty highly regarded.
http://futureofscipub.wordpress.com/open-post-publication-pe... http://www.frontiersin.org/Computational_Neuroscience/10.338... http://retractionwatch.wordpress.com/2013/03/22/brian-deers-...
Professors usually ask their grad students to read the most important and influential papers in the field. When those grad students then turn around and start composing papers of their own, they'll refer to the ones they read, creating a kind of circular feedback cycle. Thus, if you want to find a field's best work, it often suffices to look for highly cited papers first.
It's like Reddit's karma voting system, just a lot slower. :)
A lot of terrible, and even retracted papers have a high citation count, though.
All that process should do is reinforce the status-qua.
https://www.google.com/search?q=Richard+Smith+peer+review+fi...
Here's the .pdf: http://www2.psych.ubc.ca/~schaller/349and449Readings/Smith20...
In my field, it's common (and even encouraged) for authors to post their work to their own website. When authors give up their copyright to the IEEE, they explicitly retain the right to redistribute it on their own personal web sites.. From the text of the CVPR IEEE copyright agreement:
Author Online Use
6. Personal Servers. Authors and/or their employers shall have the right to post the accepted version of IEEE-copyrighted articles on their own
personal servers or the servers of their institutions or employers without permission from IEEE, provided that the posted version includes a
prominently displayed IEEE copyright notice and, when published, a full citation to the original IEEE publication, including a link to the article
abstract in IEEE Xplore. Authors shall not post the final, published versions of their papers.
(the last sentence refers to the "camera-ready" version, which ideally only contains eg. typo fixes relative to the accepted version)Worth a read though, for the author's recollection of his (unsuccessful) attempts to reject a Karl Popper paper he thought was substandard.
Every reviewer that I've met does plagiarism detection on their own. My advisor has even found instances where the author copy+pasted articles from the likes of the Wikipedia article on the subject or 'about.com'; such papers get desk-rejected without review, and in some cases, the author is forbidden from submitting to IEEE conferences for the rest of their career. That's how important plagiarism is.
Just copy+pasting the abstract into Google is often enough to find it. At least for computer science conferences, the conference organizers run the papers through additional plagiarism screening tools before publishing, but it's mostly the reviewers' job.
I don't think it's a bad idea, but it never occurred to me to do this. If you're familiar with the field in which you are reviewing papers, you'll know if something is not new, in which case it is rejected, quite aside from the possibility of the author having lifted some actual text.
I haven't seen this before, so maybe that is getting more common these years now.
Search on Google scholar: http://scholar.google.com/scholar?hl=en&as_sdt=1,5&a...
Do I really have to write IEEE for all violations? http://ieeexplore.ieee.org/search/searchresult.jsp?searchWit...
It's just searching for certain phrases in the text. In this case the first one I tried "This process is defined as binding process. In The immune system" was already enough!
And it's sad.