Bibliometric analysis

Standard way of doing it:

Cleaning up data (duplicate authors/publications) - heuristics to identify different/same persons built in? (80/90% of the issue)
Multiple fields to analyze simultaneously
Merging WebofScience and Scopos (does not automatically add article references)
Orcid not yet default and standard (works for author to publications link but not the other way around). Is there a tool automatically checking this?
Merging institutions
Other networks where one can harvest bibliometric data? e.g. ResearchGate, Academia, Google scholar?
Limit with download reference entries (WebofScience - 500 per go, Scopus easier)
Clustering tasks - what are the different strategies and routines? (orthogonal, ...)
Classification of journals into themes (can be changing} - how to find links/important authors/institutes beyond co-authorship networks?
Topics classification by WebofScience - sometimes problematic, different from key word search
Account for time factor

Impact analysis
altmetrics - broad network impact outside publications (news, social media ...)
Relevance over time, can it be normalized to some degree? Relation to GDP, number of employees per institution?
co-authorships
citation networks (x-order)
filter by internal citation in a community, not single high citations
Compare number of collective group citations vs. without self-citations

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