  The XAI literature is decentralized, both in terminology and in publication
venues, but recent years saw the community converge around keywords that make
it possible to more reliably discover papers automatically. We use keyword
search using the SemanticScholar API and manual curation to collect a
well-formatted and reasonably comprehensive set of 5199 XAI papers, available
at https://github.com/alonjacovi/XAI-Scholar . We use this collection to
clarify and visualize trends about the size and scope of the literature,
citation trends, cross-field trends, and collaboration trends. Overall, XAI is
becoming increasingly multidisciplinary, with relative growth in papers
belonging to increasingly diverse (non-CS) scientific fields, increasing
cross-field collaborative authorship, increasing cross-field citation activity.
The collection can additionally be used as a paper discovery engine, by
retrieving XAI literature which is cited according to specific constraints (for
example, papers that are influential outside of their field, or influential to
non-XAI research).
