Percentages show each institution’s share of the counts displayed in the current chart. They are not shares of unique conference papers. Search does not change the denominator.
Click a rectangle to see the institution's full name and paper count.
Institutions in this view
| Position | Institution | Country | Papers | Share of displayed total |
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Data source, counting and limitations
This edition uses the supplied NeurIPS_2026_First_Author_Institutions (1).xlsx, processed on 29 September 2026. That date describes workbook processing, not a new conference snapshot. The workbook identifies the NeurIPS official export as its underlying source.
First-listed author means the first person in the source JSON author string. It is not PDF-verified first authorship and does not identify equal contributions. Every explicit affiliation counts once per paper. The workbook's canonical institution labels are preserved without additional merging.
Of 9,006 source records, 8,129 have a countable institution, producing 8,284 institution–paper pairs across 992 labels. The remaining 877 records are unrepresented. The source notes report 383 missing affiliations, 524 records containing unverified institution names and 69 author-string mismatches against newer public metadata. These categories overlap.
Counts combine tracks: 5,097 records are matched to the main conference, 612 to Evaluations and Datasets, 46 to Position Papers and 3,251 have unconfirmed tracks. This is not a main-conference-only ranking, an acceptance rate or an official ranking.
Each view shows at most 200 institutions, with alphabetical ordering at tied cutoffs. China includes mainland China, Hong Kong, Macao and Taiwan. Geography follows institution or corporate bases. 793 labels have a country assignment; 199 remain unassigned and are excluded from national views. All global top-200 entries are assigned. National views are therefore not exhaustive.
Source notes · Full counts · Methodology and audit · Suggest a correction