--- title: "PODS (A*): papers and universities" description: "PODS (ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 101 of its papers from 2024–2026 (40 in 2024, 31 in 2025, 30 in 2026). By the countries of the authors' institutions, the most papers come from the United States (46), Germany (19) and Canada (16)." url: https://scholar4ai.com/proceedings/pods markdown_url: https://scholar4ai.com/proceedings/pods.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "PODS (ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 101 of its papers from 2024–2026 (40 in 2024, 31 in 2025, 30 in 2026). (as of 2026-11-02)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-02T12:20:52+09:00 window: 2026-10-04 to 2026-11-02 source: OpenAlex (CC0) --- # PODS: ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems — papers and institutions, 2024–2026 Papers of PODS, ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems (CORE rank A*; field: Data management and data science), 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. All conferences: https://scholar4ai.com/proceedings.md ## Key findings - PODS (ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 101 of its papers from 2024–2026 (40 in 2024, 31 in 2025, 30 in 2026). - By the countries of the authors' institutions, the most papers come from the United States (46), Germany (19) and Canada (16). - The institutions with the most papers are Centre National de la Recherche Scientifique (13), University of Waterloo (12) and Institut national de recherche en sciences et technologies du numérique (8). - Its most-cited paper of these years is “Expected Shapley-Like Scores of Boolean functions: Complexity and Applications to Probabilistic Databases” (2024), with 10 citations. ## Papers per year *PODS papers per publication year in OpenAlex (–: not in OpenAlex yet)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 40 | 40 | | 2025 | 31 | 31 | | 2026 | 30 | 29 | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S4387289859](https://openalex.org/S4387289859) | Conference-linked journal (issue 2) | ## Who publishes there *Institutions with the most PODS papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 13 | | 2 | University of Waterloo | 12 | | 3 | Institut national de recherche en sciences et technologies du numérique | 8 | | 4 | Carnegie Mellon University | 8 | | 5 | University of Wisconsin–Madison | 7 | | 6 | University of Washington | 7 | | 7 | University of Illinois Chicago | 6 | | 8 | TU Wien | 5 | | 9 | University of Antwerp | 5 | | 10 | Duke University | 5 | *Countries with the most PODS papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | United States | 46 | | 2 | Germany | 19 | | 3 | Canada | 16 | | 4 | France | 14 | | 5 | United Kingdom | 10 | | 6 | Belgium | 9 | | 7 | Switzerland | 9 | | 8 | Austria | 8 | | 9 | Italy | 6 | | 10 | Singapore | 6 | *Keywords with the most PODS papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | lower bounds | 13 | | 2 | conjunctive queries | 11 | | 3 | data complexity | 7 | | 4 | differential privacy | 7 | | 5 | computational complexity | 6 | | 6 | query processing | 6 | | 7 | data streams | 5 | | 8 | dichotomy | 5 | | 9 | NP-hardness | 4 | | 10 | communication complexity | 4 | ## Most-cited papers *Most-cited PODS papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 10 | [Expected Shapley-Like Scores of Boolean functions: Complexity and Applications to Probabilistic Databases](https://doi.org/10.1145/3651593) | 2024-05-10 | Pratik Karmakar, Mikaël Monet, Pierre P. Senellart et al. | | 2 | 9 | [Join Size Bounds using l p -Norms on Degree Sequences](https://doi.org/10.1145/3651597) | 2024-05-10 | Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu et al. | | 3 | 8 | [From Shapley Value to Model Counting and Back](https://doi.org/10.1145/3651142) | 2024-05-10 | Ahmet Kara, Dan Olteanu, Dan Mircea Suciu | | 4 | 7 | [Fast Matrix Multiplication for Query Processing](https://doi.org/10.1145/3651599) | 2024-05-10 | Xiao Hu | | 5 | 6 | [When is Shapley Value Computation a Matter of Counting?](https://doi.org/10.1145/3651606) | 2024-05-10 | Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade | | 6 | 6 | [Containment of Graph Queries Modulo Schema](https://doi.org/10.1145/3651140) | 2024-05-10 | Víctor Gutiérrez-Basulto, Albert Gutowski, Yazmín Angélica Ibáñez-García et al. | | 7 | 5 | [Fast Matrix Multiplication meets the Submodular Width](https://doi.org/10.1145/3725235) | 2025-06-09 | Mahmoud Abo Khamis, Xiao Hu, Dan Mircea Suciu | | 8 | 5 | [On Density-based Local Community Search](https://doi.org/10.1145/3651589) | 2024-05-10 | Yizhou Dai, Miao Qiao, Rong-Hua Li | | 9 | 5 | [Evaluating Datalog over Semirings: A Grounding-based Approach](https://doi.org/10.1145/3651591) | 2024-05-10 | Hangdong Zhao, Shaleen Deep, Paraschos Koutris et al. | | 10 | 5 | [Simple & Optimal Quantile Sketch: Combining Greenwald-Khanna with Khanna-Greenwald](https://doi.org/10.1145/3651610) | 2024-05-10 | Elena Gribelyuk, Pachara Sawettamalya, Hongxun Wu et al. | ## Cite this page Scholar4AI. (2026). PODS: ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/pods ```bibtex @misc{scholar4ai-proceedings-pods, author = {{Scholar4AI}}, title = {PODS: ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems — papers and institutions, 2024–2026}, year = {2026}, howpublished = {\url{https://scholar4ai.com/proceedings/pods}}, urldate = {2026-11-02}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).