Data from the public CDC 2026 program on PaperPlaza · snapshot Unofficial project, not affiliated with or endorsed by IEEE, the IEEE Control Systems Society or CDC.
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Institution
Papers
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Research-area mix
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Type a topic or paste a title and abstract. We find the CDC 2026 papers closest in meaning, then count which institutions and countries wrote them.
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Every author and session chair in the CDC 2026 program, with their papers, sessions, times and rooms.
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Most papers at CDC 2026
Authors ranked by papers in technical sessions. Click a name for their schedule.
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Author
Affiliation
Papers
How this was made
data, method and caveats
Papers and institutions come from the public CDC 2026 program on PaperPlaza (daily program pages, program dated ). Each author's affiliation is as printed in the program.
What counts as a paper: rankings and institution pages count the papers in Regular, Invited and RI (rapid-interaction) sessions. Plenaries, HT talks, tutorial talks and Monday workshops are included in topic search and tagged, but not in the rankings.
Counting: a paper counts once for every institution with at least one author on it, so shares add up to more than 100%. The fractional count splits each paper equally across its authors, then across each author's institutions.
Names are normalized with a hand-checked table of about 560 institutions plus rules for typos and abbreviations ("Georgia Inst. of Tech" → Georgia Institute of Technology). Joint affiliations such as "Université Paris-Saclay, CNRS, CentraleSupélec" count for each institution named. Tokyo Tech is merged into Institute of Science Tokyo, NREL is listed under its new name. "Northeastern University" is almost entirely the Boston university, but a few authors may be from Northeastern University in Shenyang.
Research areas come from the official CDC keywords chosen by the authors (167 keywords, grouped by hand into 16 areas). A paper goes to the area its keywords point to most, with the first keyword weighted highest. The few entries without keywords (plenaries, workshops, some tutorials) are placed by their 15 nearest papers in meaning.
Topic search runs entirely in your browser: your text is embedded with bge-small-en-v1.5 (downloaded once, about 33 MB) and compared with every paper's title and abstract. Nothing you type is sent anywhere. If the model can't load, the page falls back to keyword matching on titles.
arXiv and code links ( technical papers on arXiv, with code) were found automatically. A paper is linked to arXiv only when an arXiv entry has a near-identical title and at least one shared author surname. Code links come from GitHub or GitLab URLs in the arXiv abstract or comments, and from GitHub repositories whose README names the paper's title or arXiv ID. Papers that are not on arXiv have no preprint link; ResearchGate could not be searched automatically.
Industry vs academia: companies and corporate labs (MERL, Amazon, Bosch, …) are industry. Universities, government and national labs (AFRL, Los Alamos, NASA) and public institutes (CNRS, Inria, CNR) are academia.
Authors are grouped by their PaperPlaza author ID, as in the official author index. Two IDs with the same name and a shared institution are treated as one person. Names and affiliations are as printed in the public program. Download the institution table (CSV).