Top-cited on a topic
A preconfigured run of Semantic Scholar Scraper — Papers & Citations: Top-cited on a topic. Input — mode: paper-search · query: large language models · sort: citationCount:desc · year: 2020-2024 · maxResults: 100. 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 Semantic Scholar Scraper — Papers & Citations Actor is ready to run with the inputs already set for "Top-cited on a topic". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Top-cited on a topic" task
The Semantic Scholar Scraper — Papers & Citations Actor will start running based on the input automatically. You can also change all the input fields, like mode, query (search modes), and more, to match your specific use case.
Receive the "Top-cited on a topic" 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 type, paper id, title, 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 "Top-cited on a topic" task via API.
