Recent high-impact
A preconfigured run of CrossRef Scraper — Scholarly Works & Citations: Recent high-impact. Input — query: large language models · filter: from-pub-date:2024-01-01,type:journal-article · sort: is-referenced-by-count · maxResults: 200. Results are returned as JSON rows in the default dataset; run it as-is or change the input and run your own.
Input
Output fields
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The CrossRef Scraper — Scholarly Works & Citations Actor is ready to run with the inputs already set for "Recent high-impact". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Recent high-impact" task
The CrossRef Scraper — Scholarly Works & Citations Actor will start running based on the input automatically. You can also change all the input fields, like query (general), filter (crossref syntax), and more, to match your specific use case.
Receive the "Recent high-impact" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as doi, title, type, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Recent high-impact" task via API.
