Semantic Scholar Search Generator
Create advanced search commands for AI-powered academic research
Academic Search Builder
Generated Search Command
Search Preview
Quick Academic Search Examples
Semantic Scholar Search Operators Reference (2025 Updated)
author:
Search papers by specific author
author:"Yoshua Bengio"
title:
Search in paper titles
title:"deep learning"
venue:
Limit to specific journal/conference
venue:"NeurIPS"
year:
Filter by publication year
year:2018-2025
abstract:
Search in paper abstracts
abstract:"graph neural networks"
keywords:
Search in keywords field
keywords:"natural language"
"quotes"
Exact phrase matching
"reinforcement learning"
OR / |
Search for either term
AI OR "machine learning"
- (minus)
Exclude terms from results
quantum -classical
citedby:
Papers citing specific work
citedby:10.1145/3394486.3403181
related:
Find related papers
related:10.1145/3394486.3403181
About Semantic Scholar
AI-powered academic search engine with intelligent recommendations, citation analysis, and impact metrics for research papers.
When to Use Semantic Scholar Search Generator
Academic Literature Review
Conduct comprehensive literature reviews with AI-powered search and intelligent paper recommendations. Perfect for finding relevant research papers and tracking citation networks.
Author Research Tracking
Track specific researchers' publications and contributions to your field. Use author: operator to find all papers by leading scientists and follow their research trajectory.
Conference Paper Discovery
Find papers from specific conferences and journals using venue: operator. Essential for staying updated with top-tier publications in your research area.
Citation Network Analysis
Explore citation relationships using citedby: and related: operators. Understand paper impact, find influential works, and discover research connections in your field.
Trend Analysis Research
Use year: filters to analyze research trends over time. Track how topics evolve, identify emerging areas, and understand the historical development of research fields.
Grant Proposal Research
Build comprehensive bibliographies for grant proposals and research applications. Use advanced operators to find the most relevant and impactful papers to support your research proposal.
Frequently Asked Questions
What is Semantic Scholar search engine?
Semantic Scholar is an AI-powered academic search engine that provides intelligent search and paper recommendations. It focuses on scientific literature with features like citation network analysis, paper impact metrics, and smart recommendations based on machine learning algorithms.
What search operators does Semantic Scholar support?
Semantic Scholar supports advanced search operators including author: for author searches, title: for title searches, venue: for journal/conference filtering, year: for publication year, abstract: and keywords: for content searches, exact phrase matching with quotes, OR operator, exclusion with minus sign, citedby: for citation searches, related: for similar papers, and filetype: for document filtering.
How is this Semantic Scholar search generator free?
Our Semantic Scholar search command generator is completely free to use. There are no limits on the number of search commands you can generate, no registration required, and all advanced search operators are available at no cost. It's designed to support academic research and education.
Can I search for specific authors on Semantic Scholar?
Yes, use the author: operator to search for papers by specific researchers. For example, 'author:"Yoshua Bengio"' will find all papers authored by Yoshua Bengio in the Semantic Scholar database. You can combine this with other operators for more precise searches.
How do I search for papers from specific venues?
Use the venue: operator to limit search to specific journals or conferences. For example, 'venue:"NeurIPS"' will search only papers published in the NeurIPS conference proceedings. This is useful for finding high-quality papers from top-tier venues.
Can I filter papers by publication year?
Yes, use the year: operator to filter by publication year or year range. For example, 'year:2020-2025' will find papers published between 2020 and 2025, while 'year:2023' finds papers from 2023 only. This is essential for finding recent research or historical analysis.
What makes Semantic Scholar different from Google Scholar?
Semantic Scholar focuses on AI-driven intelligent recommendations, citation network analysis, and paper impact metrics. It provides more sophisticated academic features compared to Google Scholar, with better filtering and discovery tools for researchers, plus advanced citation analysis and paper relationship mapping.
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