Jana Giceva

613 total citations
29 papers, 374 citations indexed

About

Jana Giceva is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Jana Giceva has authored 29 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 12 papers in Information Systems and 11 papers in Hardware and Architecture. Recurrent topics in Jana Giceva's work include Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (11 papers) and Advanced Data Storage Technologies (11 papers). Jana Giceva is often cited by papers focused on Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (11 papers) and Advanced Data Storage Technologies (11 papers). Jana Giceva collaborates with scholars based in Germany, United Kingdom and Switzerland. Jana Giceva's co-authors include Gustavo Alonso, Thomas Neumann, Claude Barthels, Kaan Kara, Timothy Roscoe, Kapil Vaswani, Ionel Gog, Dimitrios Vytiniotis, Michael Isard and Malte Schwarzkopf and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Proceedings of the ACM on Programming Languages.

In The Last Decade

Jana Giceva

27 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jana Giceva Germany	12	321	180	138	66	56	29	374
Mark Callaghan United States	5	333 1.0×	179 1.0×	72 0.5×	75 1.1×	60 1.1×	5	378
Holger Pirk United Kingdom	11	361 1.1×	184 1.0×	134 1.0×	88 1.3×	95 1.7×	27	429
Tobias Mühlbauer Germany	10	454 1.4×	236 1.3×	126 0.9×	69 1.0×	56 1.0×	16	491
Rebecca Taft United States	8	377 1.2×	276 1.5×	42 0.3×	52 0.8×	31 0.6×	10	416
Mike Zwilling United Kingdom	5	534 1.7×	257 1.4×	159 1.2×	79 1.2×	33 0.6×	5	585
Xuntao Cheng Singapore	9	261 0.8×	145 0.8×	101 0.7×	60 0.9×	36 0.6×	16	309
Matthew Perron United States	5	270 0.8×	163 0.9×	71 0.5×	54 0.8×	21 0.4×	6	295
Cristian Diaconu United States	6	545 1.7×	255 1.4×	156 1.1×	41 0.6×	33 0.6×	6	572
Berni Schiefer United States	7	305 1.0×	127 0.7×	79 0.6×	71 1.1×	33 0.6×	10	331
John Cieslewicz United States	12	469 1.5×	273 1.5×	116 0.8×	87 1.3×	76 1.4×	13	508

Countries citing papers authored by Jana Giceva

Since Specialization

Citations

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

Fields of papers citing papers by Jana Giceva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Giceva

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

All Works

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20 of 20 papers shown

1.

Neumann, Thomas, et al.. (2025). AnyBlox: A Framework for Self-Decoding Datasets. Proceedings of the VLDB Endowment. 18(11). 4017–4031.

2.

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

3.

Zhao, Bo, et al.. (2024). OLAP on Modern Chiplet-Based Processors. Proceedings of the VLDB Endowment. 17(11). 3428–3441. 1 indexed citations

4.

Giceva, Jana, et al.. (2024). HiPy: Extracting High-Level Semantics from Python Code for Data Processing. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 736–762.

5.

Vogel, Lukas, et al.. (2023). Programming Fully Disaggregated Systems. 188–195. 2 indexed citations

6.

Giceva, Jana, et al.. (2023). Sortledton: a Universal Graph Data Structure. ACM SIGMOD Record. 52(1). 17–25. 2 indexed citations

7.

Neumann, Thomas, et al.. (2023). Bringing Compiling Databases to RISC Architectures. Proceedings of the VLDB Endowment. 16(6). 1222–1234. 5 indexed citations

8.

Giceva, Jana, et al.. (2022). Designing an open framework for query optimization and compilation. Proceedings of the VLDB Endowment. 15(11). 2389–2401. 17 indexed citations

9.

Giceva, Jana, et al.. (2022). Sortledton. Proceedings of the VLDB Endowment. 15(6). 1173–1186. 15 indexed citations

10.

Giceva, Jana, et al.. (2021). A four-dimensional analysis of partitioned approximate filters. Proceedings of the VLDB Endowment. 14(11). 2355–2368. 3 indexed citations

11.

Ives, Zachary G., Rachel Pottinger, Arun Kumar, Johannes Gehrke, & Jana Giceva. (2021). The future of data(base) education. Proceedings of the VLDB Endowment. 14(12). 3239–3239. 2 indexed citations

12.

Giceva, Jana, et al.. (2021). Database technology for the masses. Proceedings of the VLDB Endowment. 14(11). 2483–2490. 11 indexed citations

13.

Giceva, Jana, et al.. (2021). Profiling dataflow systems on multiple abstraction levels. 474–489. 7 indexed citations

14.

Giceva, Jana, et al.. (2021). To Partition, or Not to Partition, That is the Join Question in a Real System. 168–180. 28 indexed citations

15.

Pirk, Holger, Jana Giceva, & Peter Pietzuch. (2019). Thriving in the No Man's Land between compilers and databases. Spiral (Imperial College London). 1 indexed citations

16.

Kara, Kaan, Jana Giceva, & Gustavo Alonso. (2017). FPGA-based Data Partitioning. Spiral (Imperial College London). 433–445. 38 indexed citations

17.

Giceva, Jana, et al.. (2017). BatchDB. Spiral (Imperial College London). 37–50. 59 indexed citations

18.

Gog, Ionel, Jana Giceva, Malte Schwarzkopf, et al.. (2015). Broom: sweeping out garbage collection from big data systems. 2–2. 58 indexed citations

19.

Giceva, Jana, Gustavo Alonso, Timothy Roscoe, & Tim Harris. (2014). Deployment of query plans on multicores. Proceedings of the VLDB Endowment. 8(3). 233–244. 20 indexed citations

20.

Giceva, Jana, et al.. (2013). COD: Database / Operating System Co-Design. Conference on Innovative Data Systems Research. 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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