Last updated October 20, 2026
This small guide aims to be a quick-start introduction to common terms and procedures for a computer science researcher. Some aspects are generic, and others are more oriented to the field of Visual Computing, specifically Computer Graphics and Visualization.
That is your advisor’s responsibility :) Apart from that, there are some places to look for inspiration:
In computer graphics and visualization the top venues are conferences, and many of them publish their accepted papers in a journal: you present the paper at the conference, but it counts as a journal article. This matters for evaluation agencies that only look at journals (see Measuring research impact). The main families, with the venues I follow:
The calendar of deadlines has the typical submission dates of all these venues, the next confirmed deadlines and the links to each conference.
A PhD is a marathon with a few sprints, and most of the problems people have with it are not technical. Some readings that help to put it in perspective:
We like to measure the impact of our research, not only because we humans are competitive, but also to better understand the value of our work and plan future efforts.
The impact factor of a journal tries to measure its importance in its field by counting how often its recent articles are cited. There are three families of indicators, and your university library gives you access to the paid ones:
For orientation: TOG and TVCG are consistently Q1 in computer graphics, CGF is Q1 or Q2 depending on the year, and the rest of our journals usually sit in Q2 or Q3. Check the current year before writing a quartile on a CV.
Conferences have no impact factor, so other proxies are used, and the one that counts depends on who is evaluating you:
Measuring the impact of your research is not an easy task, and many factors should be taken into account, such as the research field, the current career stage, etc. But there are probably three main measures:
Two warnings. The numbers depend on the source: Google Scholar counts everything it crawls (theses, slides, preprints), while Scopus and the Web of Science only count curated publications, so the same researcher can have a third fewer citations there. And an h-index only means something next to people of the same field and career stage.
References:
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