Review in a week*

25 Sep 2019 . category: research . Comments

For a long time now, I have been reviewing articles at a variety of journals and conferences, which is “usually” tracked within publons. While I try hard to make sure that I get reviews completed before the deadline often, when it comes to Journals, this is accomplished in the final few days before the deadline. This creates a significant stress and anxiety to my academic life, as I’m constantly worrying about the tasks that I have to do, and in some cases staying up late to get the review completed. Therefore, as I review my activities, I consider how I can improve the way I review, and therefore I propose (not originally) review in a week*.

While I (generally) steadily increase in review articles per year, it becomes more critical to review effectively.

Stuart James Publons graph captured 25/09/2019

So I put this out there, that going forward, my goal is to review journal articles within a week* of accepting them. For anyone even partially observant I am diligent in including an asterisk after this statement. Naturally, this is for a good reason; a 20+ page article isn’t sensible to keep to this goal or if I’m very aware that I can not complete due to other commitments, e.g. travel. However, within a week of office time, the review will be complete.

There is a second part to this that is saying “No”. If I’m accepting articles I’m not excited about then this goal will be significantly hard to achieve. Therefore, hand-in-hand, I will be more proactive in saying no to articles that don’t interest me.

As I consider it essential to evaluate any objective; therefore, at the end of 2019, I will review this progress. Which gives me a wonderful excuse to create graphs of my progress (which all academics enjoy), but I will have to put some thought into what to plot.

So Journals! Let’s see what you have install for September-December of 2019.


Researcher (Assistant Professor) in Computer Vision and Machine Learning for Cultural Heritage at the Istituto Italiano di Tecnologia (IIT). Stuart's research focus is on Visual Reasoning across Big Data problems with a particular interest in understanding layout and abstract concepts which challenge traditional algorithms. He has worked on Scene understanding, Visual Question and Answering, 3D Reconstruction, Texture Analysis, Social Media classification, Sketch-based Interaction and Retrieval and Domain Adaptation. Stuart became a Researcher following a Postdoctoral position also at IIT working on 3D scene understanding with Dr Alessio Del Bue. Previously Stuart was a Research Associate at University College London (UCL) working with Prof. Tim Weyrich. While at the University of Surrey Stuart completed his PhD and a Postdoctoral position with Dr John Collomosse. Stuart continues to hold an honorary position at UCL to this day and collaborates with researchers across universities and institutes.