When developing keywords for your topic, here are a few general rules to keep in mind:
For example, for the topic:
This is how you can apply the general rules:
1. Keep the nouns and/or noun phrases: time series model, precipitation forecasting
2. Get rid of noise words:
are, there, any, applications, of, in, the
3. Use quotation marks around a phrase: "time series"
4. Think of similar words/synonyms: precipitation forecasting --> precipitation prediction, rainfall forecast
The screenshot below shows the search limits/refinement options available in Web of Science, a major multidisciplinary database.
You should make good use of these options to narrow down your results, especially when you are searching very broad terms. Take the Web of Science as an example:
Getting familiar with these functions when searching in a particular database will definitely help save time!
The Mathematics Subject Classification (MSC) is a hierarchical classification scheme collaboratively produced by staff of, and based on the coverage of, the two major mathematical reviewing databases, Mathematical Reviews and Zentralblatt MATH.
It is used by many mathematics journals, which ask authors of research papers and expository articles to list subject codes from the Mathematics Subject Classification in their papers. MSC Classificatio Scheme is updated every ten years and the current version is MSC2010.
If you want to search and/or browse subject headings within MathSciNet, you can use "Mathematics Subject Classification (MSC)" in the database interface.
Take MathSciNet (via the AMS platform) for example:
You can search relevant MSC2010 Classifications at this link. For example, search "Bergman" as keyword:
Then, pick the MSC subject(s) that you would like to search further. For example, search "32A36" in the MSC Subject Field in MathSciNet:
And then, you will be able to retrieve a list of papers which are classified as "Bergman Spaces" (32A36)
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