paper-search

You can search academic papers across multiple databases concurrently by specifying a query, a date range, and target sources. This concurrent source searching queries platforms like arXiv, DBLP, and Semantic Scholar simultaneously to compile comprehensive literature review results.

Yes, you can filter academic paper search results by publication date range. Specifying start and end dates narrows the search to focus on recent research or specific time periods across the selected academic databases.

You can select from academic databases including arXiv, DBLP, OpenAlex, OpenReview, Semantic Scholar, and Crossref. Source selection allows you to tailor the search to specific academic platforms and narrow the search results to relevant repositories.

The best way to find recent papers is to use concurrent source searching with date range filtering. By selecting arXiv and Semantic Scholar as sources and specifying your topic and dates, you efficiently retrieve targeted academic literature without manual database queries.

Yes, this paper search tool requires multiple API access points and concurrent processing capabilities to function. It connects directly to the external academic database APIs to execute concurrent searches and retrieve matching papers efficiently.

Concurrent academic database searching saves time in the literature review process by querying multiple platforms simultaneously. Instead of manually filtering dates and sources across individual repositories, you receive consolidated results optimized for comprehensive research.