Stan Zdonik

9.7k total citations · 4 hit papers
59 papers, 4.8k citations indexed

About

Stan Zdonik is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Stan Zdonik has authored 59 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Networks and Communications, 28 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Stan Zdonik's work include Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (24 papers) and Distributed systems and fault tolerance (17 papers). Stan Zdonik is often cited by papers focused on Advanced Database Systems and Queries (41 papers), Data Management and Algorithms (24 papers) and Distributed systems and fault tolerance (17 papers). Stan Zdonik collaborates with scholars based in United States, Germany and Canada. Stan Zdonik's co-authors include Michael Stonebraker, Mitch Cherniack, Uğur Çetintemel, Nesime Tatbul, Daniel J. Abadi, Don Carney, Ying Xing, Jeong-Hyon Hwang, Magdalena Bałazińska and Sang-Don Lee and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Stan Zdonik

58 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aurora: a new model and architecture for data stream management

2003 945 citations Daniel J. Abadi, Don Carney et al. profile →
The Design of the Borealis Stream Processing Engine

2005 784 citations Daniel J. Abadi, Yanif Ahmad et al. profile →
C-store: a column-oriented DBMS

2005 591 citations Mike Stonebraker, Daniel J. Abadi et al. profile →
The 8 requirements of real-time stream processing

2005 372 citations Michael Stonebraker, Uğur Çetintemel et al. ACM SIGMOD Record profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stan Zdonik United States	26	4.0k	1.9k	1.8k	1.6k	466	59	4.8k
Nesime Tatbul United States	27	3.2k 0.8×	1.7k 0.9×	1.4k 0.8×	1.6k 1.0×	422 0.9×	77	4.0k
Patrick Valduriez France	40	4.0k 1.0×	1.7k 0.9×	2.0k 1.1×	1.6k 1.0×	383 0.8×	233	5.2k
Mitch Cherniack United States	19	3.0k 0.8×	1.5k 0.8×	1.2k 0.7×	1.2k 0.8×	345 0.7×	29	3.5k
Eugene J. Shekita United States	27	3.4k 0.8×	2.0k 1.1×	1.5k 0.8×	2.2k 1.4×	637 1.4×	49	4.6k
Shivnath Babu United States	33	5.7k 1.4×	3.1k 1.6×	3.0k 1.7×	2.8k 1.8×	607 1.3×	119	7.1k
Stanley B. Zdonik United States	40	4.9k 1.2×	1.4k 0.8×	1.6k 0.9×	1.5k 1.0×	383 0.8×	109	5.5k
Utkarsh Srivastava United States	20	2.9k 0.7×	825 0.4×	2.0k 1.2×	838 0.5×	432 0.9×	43	3.5k
Alexander Rasin United States	15	2.6k 0.7×	920 0.5×	2.0k 1.1×	668 0.4×	437 0.9×	51	3.3k
Amol Deshpande United States	34	3.4k 0.9×	2.1k 1.1×	1.1k 0.6×	1.8k 1.1×	815 1.7×	106	4.6k
Vijayshankar Raman United States	20	2.6k 0.6×	1.5k 0.8×	923 0.5×	1.0k 0.7×	293 0.6×	47	3.0k

Countries citing papers authored by Stan Zdonik

Since Specialization

Citations

This map shows the geographic impact of Stan Zdonik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stan Zdonik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Zdonik more than expected).

Fields of papers citing papers by Stan Zdonik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan Zdonik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stan Zdonik. The network helps show where Stan Zdonik may publish in the future.

Co-authorship network of co-authors of Stan Zdonik

This figure shows the co-authorship network connecting the top 25 collaborators of Stan Zdonik. A scholar is included among the top collaborators of Stan Zdonik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stan Zdonik. Stan Zdonik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zdonik, Stan, et al.. (2021). Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series.. Conference on Innovative Data Systems Research. 1 indexed citations

2.

Zhao, Zheguang, Seny Kamara, Tarik Moataz, & Stan Zdonik. (2021). Encrypted Databases: From Theory to Systems.. Conference on Innovative Data Systems Research. 3 indexed citations

3.

Tatbul, Nesime, et al.. (2018). Precision and Recall for Time Series. arXiv (Cornell University). 31. 1920–1930. 25 indexed citations

4.

Zdonik, Stan, et al.. (2017). Data Ingestion for the Connected World.. Conference on Innovative Data Systems Research. 34 indexed citations

5.

Tatbul, Nesime, et al.. (2015). Handling Shared, Mutable State in Stream Processing with Correctness Guarantees.. IEEE Data(base) Engineering Bulletin. 38. 94–104. 8 indexed citations

6.

Crotty, Andrew, Alex Galakatos, Tim Kraska, et al.. (2015). An architecture for compiling UDF-centric workflows. Proceedings of the VLDB Endowment. 8(12). 1466–1477. 62 indexed citations

7.

Tatbul, Nesime, Stan Zdonik, Uğur Çetintemel, et al.. (2015). S-Store. Proceedings of the VLDB Endowment. 8(13). 2134–2145. 50 indexed citations

8.

Çetintemel, Uğur, et al.. (2014). Interactive data exploration using semantic windows. 505–516. 47 indexed citations

9.

Eyers, David, Opher Etzion, Avigdor Gal, Stan Zdonik, & Paul Vincent. (2011). Proceedings of the 5th ACM international conference on Distributed event-based system. 2 indexed citations

10.

Stonebraker, Michael, et al.. (2009). Requirements for Science Data Bases and SciDB. Conference on Innovative Data Systems Research. 110 indexed citations

11.

Ge, Tingjian & Stan Zdonik. (2007). Fast, Secure Encryption for Indexing in a Column-Oriented DBMS. 676–685. 44 indexed citations

12.

Xing, Ying, Jeong-Hyon Hwang, Uğur Çetintemel, & Stan Zdonik. (2006). Providing resiliency to load variations in distributed stream processing. Very Large Data Bases. 775–786. 71 indexed citations

13.

Stonebraker, Mike, Daniel J. Abadi, Xuedong Chen, et al.. (2005). C-store: a column-oriented DBMS. 553–564. 591 indexed citations breakdown →

14.

Abadi, Daniel J., Yanif Ahmad, Magdalena Bałazińska, et al.. (2005). The Design of the Borealis Stream Processing Engine. 277–289. 784 indexed citations breakdown →

15.

Cherniack, Mitch, Hari Balakrishnan, Magdalena Bałazińska, et al.. (2003). Scalable Distributed Stream Processing. Conference on Innovative Data Systems Research. 310 indexed citations

16.

Altınel, Mehmet, et al.. (1999). DBIS-toolkit. ACM SIGMOD Record. 28(2). 544–546. 25 indexed citations

17.

Cherniack, Mitch & Stan Zdonik. (1998). Changing the rules. 61–72. 20 indexed citations

18.

Franklin, Michael & Stan Zdonik. (1998). “Data in your face”. ACM SIGMOD Record. 27(2). 516–519. 53 indexed citations

19.

Franklin, Michael J. & Stan Zdonik. (1998). “Data in your face”. 516–519. 121 indexed citations

20.

Zdonik, Stan. (1990). A note from the editor. 1(1). 1–1.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact