Jana Giceva
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Gustavo AlonsoThomas NeumannClaude BarthelsKaan KaraTimothy RoscoeDerek G. MurraySteven HandIonel Gog
- Topics
- Cloud Computing and Resource Management (12 papers)Parallel Computing and Optimization Techniques (11 papers)Advanced Data Storage Technologies (11 papers)
- Journals
- Proceedings of the VLDB EndowmentACM SIGMOD RecordProceedings of the ACM on Programming Languages
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Jana Giceva
27 papers receiving 356 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 321
- Information Systems 180
- Hardware and Architecture 138
- Artificial Intelligence 66
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Jana Giceva
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 28 | |
| 12 | Thriving in the No Man's Land between compilers and databases | 1 |
| 13 | 1 | |
| 14 | 38 | |
| 15 | 59 | |
| 16 | 10 | |
| 17 | Broom: sweeping out garbage collection from big data systems | 58 |
| 18 | 20 | |
| 19 | COD: Database / Operating System Co-Design | 11 |
| 20 | 43 |
About Jana Giceva
Jana Giceva is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 29 papers that have together received 374 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), Parallel Computing and Optimization Techniques (11 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Hardware and Architecture (138 citations), Computer Networks and Communications (321 citations) and Information Systems (180 citations). Jana Giceva has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Gustavo Alonso, Thomas Neumann, Claude Barthels, Kaan Kara, Timothy Roscoe, Derek G. Murray, Steven Hand, Ionel Gog, Malte Schwarzkopf and Kapil Vaswani. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Proceedings of the ACM on Programming Languages.
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.