services / paper-search
dataoperational · 1 ms
Scientific Paper Search
Search scientific papers across OpenAlex (250M works, all fields), arXiv (preprints) and PubMed (biomedicine) in one call. Returns title, up to 5 authors, year, venue, DOI, landing URL, open-access PDF URL, citation count and abstract (up to 600 chars), merged and deduplicated by DOI. Params: query (required), source ('all' default, 'openalex', 'arxiv', 'pubmed'), limit (1 to 25, default 10), year_from, open_access_only (default false).
Run free trial ↗1 free call per day with the example input. Paid: $0.004 USDC, no limit.
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Input
| Field | Type | Description |
|---|---|---|
| query * | string | |
| source | all | openalex | arxiv | pubmed = "all" | |
| limit | integer = 10 | |
| year_from | integer | Only papers published in or after this year |
| open_access_only | boolean = false |
Output
| Field | Type | Description |
|---|---|---|
| query | string | |
| count | integer | |
| papers | array | |
| sources | array | |
| source_errors | object | |
| searched_at | string |
Example response (data)
{
"query": "retrieval augmented generation",
"count": 2,
"papers": [
{
"source": "openalex",
"title": "Active Retrieval Augmented Generation",
"authors": [
"Zhengbao Jiang",
"Frank F. Xu"
],
"year": 2023,
"venue": "Conference on Empirical Methods in Natural Language Processing (EMNLP)",
"doi": "10.18653/v1/2023.emnlp-main.495",
"url": "https://doi.org/10.18653/v1/2023.emnlp-main.495",
"pdf_url": "https://aclanthology.org/2023.emnlp-main.495.pdf",
"citations": 457,
"abstract": "Zhengbao Jiang, Frank Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig. Proceedings of the 2023 Conference on E…"
},
{
"source": "arxiv",
"title": "AR-RAG: Autoregressive Retrieval Augmentation for Image Generation",
"authors": [
"Jingyuan Qi",
"Zhiyang Xu"
],
"year": 2025,
"venue": "arXiv",
"doi": null,
"url": "http://arxiv.org/abs/2506.06962v3",
"pdf_url": "https://arxiv.org/pdf/2506.06962v3",
"citations": null,
"abstract": "We introduce Autoregressive Retrieval Augmentation (AR-RAG), a novel paradigm that enhances image generation by autoregressively incorporating knearest neigh…"
}
],
"sources": [
"openalex",
"arxiv"
],
"source_errors": {},
"searched_at": "2026-10-06T14:30:54.495Z"
}