发表机构
Tropic AI; Maritaca AI（Tropic AI; Maritaca AI）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究对2015-2025年BRACIS的1066篇录用论文进行元科学分析，揭示其研究领域变化、作者与机构分布、引用特征及开放实践情况，发现LLM研究占比提升、引用集中、预印本与高引用相关等结论。
AI 中文摘要
巴西智能系统会议（BRACIS）是巴西人工智能研究的主要国内会议场地，自2012年起由巴西计算机学会主办，发表来自全国各机构的研究成果。在2015年至2025年的十一年间，我们基于DBLP元数据构建了全部1066篇录用论文的单篇记录，结合6765条谷歌学术引用及论文全文，探究BRACIS发表了什么、谁在发表相关成果、哪些研究获得引用。大型语言模型（LLM）研究从2020年前的零增长至2024年占论文总量的19%，基础则是机器学习、计算机视觉与优化方向的成果。该研究社区呈沙漏形态：2623名作者中80.5%仅在一届会议中出现，而机构的参与频次约为作者参与率的三倍。引用高度集中，排名前1%的论文承载了总引用量的27%。开放实践不断发展，成果物（artifact）的发布比例从2015年的8.9%升至2023年的57.3%，且我们发现拥有arXiv预印本与更高引用量存在显著相关性。由于会议论文集被IEEE和施普林格的付费墙阻隔，仅7.4%的论文拥有预印本，无机构访问权限的读者难以获取大部分BRACIS研究成果。
英文摘要
The Brazilian Conference on Intelligent Systems (BRACIS) is the main national venue for Artificial Intelligence research in Brazil, hosted by the Brazilian Computer Society since 2012 and publishing work from institutions across the country. Across eleven years, from 2015 to 2025, we build a per-paper record of all 1,066 accepted papers from DBLP metadata, 6,765 Google Scholar citations, and the paper full texts, and use it to ask what BRACIS publishes, who publishes it, and which work gets cited. Large Language Model research grows from zero before 2020 to 19% of papers in 2024, on top of a base of Machine Learning, Computer Vision, and Optimization work. The community is hourglass-shaped: 80.5% of 2,623 authors appear in a single edition, while institutions return at nearly three times the author rate. Citations are heavily concentrated, with the top 1% of papers carrying 27% of the total. Openness practices have grown, with artifact release rising from 8.9% of papers in 2015 to 57.3% in 2023, and we find a notable correlation between having an arXiv preprint and higher citation counts. Since proceedings sit behind IEEE and Springer paywalls and only 7.4% of papers have a preprint, most BRACIS work is hard to reach for readers without institutional access.
