NeurIPS: Advances in Neural Information Processing Systems (was NIPS) — papers and institutions, 2024–2026

Papers of NeurIPS, Advances in Neural Information Processing Systems (was NIPS) (CORE rank A*; field: Machine learning), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

NeurIPS (Advances in Neural Information Processing Systems (was NIPS)) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 10,131 of its papers from 2024–2026 (4,312 in 2024, 5,819 in 2025; 2026 not in OpenAlex yet).
By the countries of the authors' institutions, the most papers come from the United States (2,941), China (2,691) and the United Kingdom (751).
The institutions with the most papers are Tsinghua University (475), Peking University (325) and Shanghai Jiao Tong University (292).
Its most-cited paper of these years is “YOLOv10: Real-Time End-to-End Object Detection” (2024), with 3,032 citations.
OpenAlex has affiliations for only 58% of its papers, so the institution and country counts are incomplete.

Papers per year#

NeurIPS papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	4,312	112
2025	5,819	5,797
2026	–	–

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4363606243	The conference's proceedings

Who publishes there#

Institutions with the most NeurIPS papers, 2024–2026
#	Institution	Papers
1	Tsinghua University	475
2	Peking University	325
3	Shanghai Jiao Tong University	292
4	Chinese Academy of Sciences	279
5	Zhejiang University	252
6	National University of Singapore	250
7	Nanyang Technological University	239
8	Stanford University	224
9	Chinese University of Hong Kong	218
10	Carnegie Mellon University	217

Countries with the most NeurIPS papers, 2024–2026
#	Country	Papers
1	United States	2,941
2	China	2,691
3	United Kingdom	751
4	Hong Kong	654
5	Singapore	508
6	Germany	392
7	Canada	333
8	South Korea	314
9	Switzerland	259
10	Australia	254

Keywords with the most NeurIPS papers, 2024–2026
#	Keyword	Papers
1	large language models	1,295
2	diffusion models	490
3	vision-language models	352
4	graph neural networks	299
5	reinforcement learning	272
6	benchmark	212
7	generative models	212
8	multimodal large language models	198
9	transformer models	171
10	generalization	160

Most-cited papers#

Most-cited NeurIPS papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	3,032	YOLOv10: Real-Time End-to-End Object Detection	2024-01-01	Ao Wang, Hui Chen, Lihao Liu et al.
2	1,734	VMamba: Visual State Space Model	2024-01-01	Yue Liu, Yunjie Tian, Yuzhong Zhao et al.
3	903	YOLOv12: Attention-Centric Real-Time Object Detectors	2025-01-01	Yunjie Tian, Qixiang Ye, David Doermann
4	668	Depth Anything V2	2024-01-01	Lihe Yang, Bingyi Kang, Zilong Huang et al.
5	300	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	2024-01-01	Yuxuan Wang, Haixu Wu, Jiaxiang Dong et al.
6	299	xLSTM: Extended Long Short-Term Memory	2024-01-01	Maximilian Beck, Korbinian Pöppel, Markus Spanring et al.
7	227	Gorilla: Large Language Model Connected with Massive APIs	2024-01-01	Shishir G. Patil, Tianjun Zhang, Xin Wang et al.
8	221	LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS	2024-01-01	Zhiwen Fan, Kevin Wang, Kairun Wen et al.
9	218	CogVLM: Visual Expert for Pretrained Language Models	2024-01-01	Weihan Wang, Qingsong Lv, Wenmeng Yu et al.
10	152	Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction	2024-01-01	Keyu Tian, Yi Jiang, Zehuan Yuan et al.

Conferences in the same field#

AAAI · IJCAI · KDD · ICDM · ECAI · ECML PKDD · WSDM · SIGSPATIAL · PPSN

Cite this page

Scholar4AI. (2026). NeurIPS: Advances in Neural Information Processing Systems (was NIPS) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/neurips

@misc{scholar4ai-proceedings-neurips,
  author = {{Scholar4AI}},
  title = {NeurIPS: Advances in Neural Information Processing Systems (was NIPS) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/neurips}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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