Often, in CS, survey of state-of-the-art equate review papers with underdeveloped analysis/discussion. Their value to the body of knowledge are eroded.
Reviews are critically important in contributing to the body of knowledge (when they so).
It is not uncommon for students (and researchers) in computer science to punt the phrase state-of-the-art. In my view, it gets often abused.
One often sees summary collation of articles/previous works. These sort of 'survey' are nothing but reviews in the true sense of things. At least, that is how I presume they will be classified in most journals.
Is publishing surveys scientifically relevant?
Yes they are. Take for instance in IS (information systems), a closely related sibling), reviews are often used to take stick if the past and forge a direction forward.
Could it be scientifically irrelevant but interesting in my academic development?
In computing, they are relevant. For instance, one gets to know how an algorithm got to be in the first place, how it evolves over time, what others are innovating with it and what possible direction is evolving. At times in computing, algorithms, new models, theories et al are worked on in tangent. Not that that is completely bad. IMHO, synergy and add-on could be beneficial. Obviously, that doesn't stop new approach.
Tangent question: is there a different approach to working on and publishing surveys than regular papers?
Can I publish surveys in any regular journal or conference?
Some journals welcome reviews. So yes, they can be published in journals (as well as accepted in conferences).
One question one should oneself is, what contribution am I making? What am I contributing to the body of knowledge?
The collations (the survey) is more like data/findings that deserves analysis/discussion. Those state-of-the-art are the state of things that should be discussed.
- what is the art to non-discipline person and to CS folks
- what was the state of things and what is the state of things
- what can be postulated about the art and future state
- what is the golden thread
- what is/are the new frontier(s) of the art?
Survey of state-of-the-art shouldn't be left as collation. They should be engaged as reviews as it's done in other fields of research.
I'll end with reference to a frontline CS journal on survey of state-of-the-art - the ACM Computing Survey journal
ACM Computing Surveys
2021 Impact Factor: 14.324 (ranked 3/109 in Computer Science Theory & Methods)
- These comprehensive, readable surveys and tutorial papers give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties in an accessible way. The carefully planned and presented introductions in Computing Surveys (CSUR) are also an excellent way for researchers and professionals to develop perspectives on, and identify trends in complex technologies.
- Contributions which bridge existing and emerging technologies (such as machine learning) with a variety of science and engineering domains in a novel and interesting way are also welcomed.
- Contributions are intended to be accessible to a broad audience, featuring clear exposition, a lively tutorial style, and pointers to the literature for further study
Information and guidelines for reviewers
- Papers for ACM Computing Surveys must be of high quality ...
- There are four main ingredients to an acceptable paper:
- Technical quality is high.
- Relevance to significant areas of research or practice is high.
- The level of general interest is high.
- The presentation is effective.
- Few papers excel in all of these, but a substandard level in any is sufficient ground for rejection.
- papers devoted primarily to presenting a survey or tutorial that include a new result to organize and convey the material in a better way are within the scope of the journal.