paper-search 0.1.0

Scientific paper search and ranking across OpenAlex, Semantic Scholar, and Unpaywall

paper-search

Search and rank scientific papers across multiple academic APIs from the command line.

Queries OpenAlex (250M+ works), Semantic Scholar (215M+ papers), and Unpaywall in parallel, merges results by DOI, and outputs ranked papers with citation counts, TLDRs, and PDF links. Use --save to persist results to .claude/papers.md for use as project context in Claude Code.

Installation

uv tool install paper-search

Or from source:

git clone https://github.com/Csed-dev/paper-search.git
cd paper-search
uv sync

Quick Start

# Search papers by topic, ranked by citations
paper-search search "large language models" -n 10

# Filter by year
paper-search search "vision transformers" --year 2024 --sort date

# Find similar papers (accepts DOI, arXiv ID, or Semantic Scholar ID)
paper-search recommend 1706.03762 -n 10

# Save results to .claude/papers.md in current project
paper-search search "reinforcement learning" --save

# Enable PDF links via Unpaywall
paper-search search "graph neural networks" --email [e-mail]

Example Output

$ paper-search search "attention mechanism" -n 5

  Results for: attention mechanism
  5 papers, sorted by citations

    1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (2016) [52848 citations] (9606 influential) [OA]
       Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
       DOI: 10.1109/tpami.2016.2577031
       PDF: https://arxiv.org/pdf/1506.01497

    2. Effective Approaches to Attention-based Neural Machine Translation (2015) [8517 citations] [OA]
       Thang Luong, Hieu Pham, Christopher D. Manning
       DOI: 10.18653/v1/d15-1166

    3. Attention mechanisms in computer vision: A survey (2022) [2242 citations] [OA]
       Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu, Peng-Tao Jiang +5 more
       DOI: 10.1007/s41095-022-0271-y
       PDF: https://arxiv.org/pdf/2111.07624

What It Does

paper-search search "query"
        |
        +--- OpenAlex ---------- phrase search, topic taxonomy, citation ranking
        |
        +--- Semantic Scholar -- TLDR summaries, influential citations
        |
        +--- Unpaywall --------- OA PDF links (when --email is set)
        |
        v
    Merge by DOI -> Rank -> Display / Save

Results include: title, authors, citation count (with influential count from S2), abstract, TLDR, DOI, PDF link, and topics.

Commands

search (alias: s)

paper-search search "query" [options]

Flag	Description
-n, --limit N	Number of results (default: 10)
-y, --year YYYY	Filter by publication year
--sort citations|date|relevance	Sort order (default: citations)
--save	Append results to .claude/papers.md
--email EMAIL	Enable Unpaywall PDF links + faster OpenAlex
--s2-key KEY	Semantic Scholar API key

recommend (alias: r)

paper-search recommend <paper_id> [options]

Accepts DOI (10.1038/s41586-023-06291-2), arXiv ID (1706.03762, hep-th/9905111), or Semantic Scholar ID.

Same --save, --email, --s2-key, -n flags as search.

Environment Variables

Set these to avoid passing flags every time:

Variable	Description
PAPER_SEARCH_EMAIL	Email for OpenAlex polite pool + Unpaywall
PAPER_SEARCH_S2_KEY	Semantic Scholar API key

The --save Flag

When used inside a project directory, --save writes results to .claude/papers.md. This file persists as context for Claude Code, making your paper references available in future conversations.

cd my-research-project
paper-search search "federated learning" -n 15 --save
# Creates .claude/papers.md with formatted paper references

Running the same query twice with --save won't duplicate the section.

API Keys (Free)

Both APIs offer free keys for higher rate limits:

• OpenAlex: Get a key at openalex.org/settings/api ($1/day free)
• Semantic Scholar: Request at semanticscholar.org/product/api (~1 month wait)

The tool works without keys, just with lower rate limits.

Development

git clone https://github.com/Csed-dev/paper-search.git
cd paper-search
uv sync --group dev
uv run pytest

Tests use captured API fixtures (no network calls):

uv run pytest tests/ -v    # 71 tests, runs in <1s

To refresh fixtures from live APIs:

uv run python tests/capture_fixtures.py

Contributing

See CONTRIBUTING.md for guidelines.

License

MIT