Viktor Leis

3.7k total citations · 2 hit papers
82 papers, 2.3k citations indexed

About

Viktor Leis is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Viktor Leis has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 28 papers in Information Systems and 23 papers in Hardware and Architecture. Recurrent topics in Viktor Leis's work include Advanced Data Storage Technologies (47 papers), Advanced Database Systems and Queries (36 papers) and Distributed systems and fault tolerance (35 papers). Viktor Leis is often cited by papers focused on Advanced Data Storage Technologies (47 papers), Advanced Database Systems and Queries (36 papers) and Distributed systems and fault tolerance (35 papers). Viktor Leis collaborates with scholars based in Germany, United States and Netherlands. Viktor Leis's co-authors include Thomas Neumann, Alfons Kemper, Peter Boncz, Andrey Gubichev, Atanas Mirchev, Andrew Pavlo, Alexander van Renen, Bernhard Radke, Hyeontaek Lim and Michael Kaminsky and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Viktor Leis

73 papers receiving 2.1k citations

Hit Papers

How good are query optimizers, really? 2013 2026 2017 2021 2015 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Leis Germany 25 1.9k 781 654 621 548 82 2.3k
Marcin Żukowski Netherlands 16 1.3k 0.7× 563 0.7× 515 0.8× 528 0.9× 243 0.4× 34 1.5k
Jun Rao United States 17 1.2k 0.6× 639 0.8× 509 0.8× 438 0.7× 207 0.4× 25 1.4k
S. Seshadri United States 20 1.5k 0.8× 582 0.7× 720 1.1× 600 1.0× 192 0.4× 69 1.8k
Sameh Elnikety United States 27 2.0k 1.0× 1.3k 1.6× 215 0.3× 326 0.5× 473 0.9× 77 2.3k
Patrick O’Neil United States 16 2.9k 1.5× 1.1k 1.4× 340 0.5× 342 0.6× 585 1.1× 27 3.1k
Flavio Junqueira Spain 22 1.9k 1.0× 1.3k 1.6× 263 0.4× 395 0.6× 184 0.3× 59 2.2k
Rebecca Isaacs United Kingdom 15 1.8k 0.9× 1.1k 1.5× 174 0.3× 539 0.9× 688 1.3× 34 2.2k
Adam Silberstein United States 11 3.2k 1.6× 2.3k 3.0× 207 0.3× 307 0.5× 692 1.3× 21 3.4k
Mary Fernández United States 23 1.9k 1.0× 711 0.9× 1.2k 1.8× 1.6k 2.6× 222 0.4× 63 2.4k
Jingren Zhou United States 19 846 0.4× 587 0.8× 263 0.4× 426 0.7× 178 0.3× 44 1.3k

Countries citing papers authored by Viktor Leis

Since Specialization
Citations

This map shows the geographic impact of Viktor Leis'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 Viktor Leis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Leis more than expected).

Fields of papers citing papers by Viktor Leis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor Leis. 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 Viktor Leis. The network helps show where Viktor Leis may publish in the future.

Co-authorship network of co-authors of Viktor Leis

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Leis. A scholar is included among the top collaborators of Viktor Leis 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 Viktor Leis. Viktor Leis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leis, Viktor, et al.. (2025). B-Trees Are Back: Engineering Fast and Pageable Node Layouts. Proceedings of the ACM on Management of Data. 3(1). 1–26.
2.
Ziegler, Tobias, et al.. (2025). Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs. Proceedings of the ACM on Management of Data. 3(3). 1–24. 1 indexed citations
3.
Leis, Viktor, et al.. (2025). Practical DB-OS Co-Design with Privileged Kernel Bypass. Proceedings of the ACM on Management of Data. 3(1). 1–27. 1 indexed citations
4.
Ziegler, Tobias, et al.. (2025). Synchronizing Disaggregated Data Structures with One-Sided RDMA: Pitfalls, Experiments and Design Guidelines. ACM Transactions on Database Systems. 50(1). 1–40. 1 indexed citations
5.
Giceva, Jana, et al.. (2024). High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance. Proceedings of the ACM on Management of Data. 2(6). 1–27. 1 indexed citations
6.
Leis, Viktor, et al.. (2024). Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP. Proceedings of the VLDB Endowment. 17(11). 3290–3303. 1 indexed citations
7.
8.
Leis, Viktor, et al.. (2023). Efficient and Portable Einstein Summation in SQL. Proceedings of the ACM on Management of Data. 1(2). 1–19. 6 indexed citations
9.
Renen, Alexander van, Lukas Vogel, Viktor Leis, Thomas Neumann, & Alfons Kemper. (2020). Building blocks for persistent memory. The VLDB Journal. 29(6). 1223–1241. 21 indexed citations
10.
Haas, Gabriel P., et al.. (2020). Exploiting Directly-Attached NVMe Arrays in DBMS.. Conference on Innovative Data Systems Research. 5 indexed citations
11.
Leis, Viktor, et al.. (2019). Optimistic Lock Coupling: A Scalable and Efficient General-Purpose Synchronization Method.. IEEE Data(base) Engineering Bulletin. 42. 73–84. 31 indexed citations
12.
Kipf, Andreas, Thomas Kipf, Bernhard Radke, et al.. (2018). Learned Cardinalities: Estimating Correlated Joins with Deep Learning. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 14 indexed citations
13.
Leis, Viktor, Bernhard Radke, Andrey Gubichev, Alfons Kemper, & Thomas Neumann. (2017). Cardinality Estimation Done Right: Index-Based Join Sampling.. Conference on Innovative Data Systems Research. 46 indexed citations
14.
Neumann, Thomas, Viktor Leis, & Alfons Kemper. (2017). The Complete Story of Joins (in HyPer).. BTW. 31–50. 7 indexed citations
15.
Leis, Viktor. (2016). Query Processing and Optimization in Modern Database Systems. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 507–516. 3 indexed citations
16.
Neumann, Thomas & Viktor Leis. (2014). Compiling Database Queries into Machine Code.. IEEE Data(base) Engineering Bulletin. 37. 3–11. 34 indexed citations
17.
Leis, Viktor, Alfons Kemper, & Thomas Neumann. (2014). Exploiting hardware transactional memory in main-memory databases. 580–591. 66 indexed citations
18.
Kemper, Alfons, et al.. (2013). Processing in the Hybrid OLTP & OLAP Main-Memory Database System HyPer.. IEEE Data(base) Engineering Bulletin. 36. 41–47. 19 indexed citations
19.
Leis, Viktor, et al.. (2013). Cubic Cost Functions and Major Market Structures. The Journal of Economic Education. 44(1). 91–91.
20.
Kemper, Alfons, et al.. (2012). HyPer: Adapting Columnar Main-Memory Data Management for Transactional AND Query Processing.. IEEE Data(base) Engineering Bulletin. 35. 46–51. 11 indexed citations

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.

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