Vuk Ercegovac
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Eugene J. ShekitaAndrey BalminJun RaoJignesh M. PatelSpyros BlanasYuanyuan TianKevin BeyerFatma Özcan
- Topics
- Advanced Database Systems and Queries (18 papers)Cloud Computing and Resource Management (10 papers)Data Management and Algorithms (9 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Vuk Ercegovac
24 papers receiving 612 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 484
- Information Systems 430
- Signal Processing 169
- Artificial Intelligence 160
- Computer Vision and Pattern Recognition 158
Countries citing papers authored by Vuk Ercegovac
This map shows the geographic impact of Vuk Ercegovac'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 Vuk Ercegovac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vuk Ercegovac more than expected).
Fields of papers citing papers by Vuk Ercegovac
This network shows the impact of papers produced by Vuk Ercegovac. 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 Vuk Ercegovac. The network helps show where Vuk Ercegovac may publish in the future.
Co-authorship network of co-authors of Vuk Ercegovac
This figure shows the co-authorship network connecting the top 25 collaborators of Vuk Ercegovac. A scholar is included among the top collaborators of Vuk Ercegovac 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 Vuk Ercegovac. Vuk Ercegovac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 0 | |
| 4 | 40 | |
| 5 | Towards Predicting the Runtime of Iterative Analytics with PREDIcT | 2 |
| 6 | 22 | |
| 7 | Same Queries, Different Data: Can we Predict Query Performance? | 5 |
| 8 | 2 | |
| 9 | 19 | |
| 10 | Adaptive Processing of User-Defined Aggregates in Jaql. | 3 |
| 11 | 135 | |
| 12 | 268 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | The TEXTURE benchmark: measuring performance of text queries on a relational DBMS | 13 |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 11 |
About Vuk Ercegovac
Vuk Ercegovac is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 25 papers that have together received 670 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (18 papers), Cloud Computing and Resource Management (10 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Computer Networks and Communications (484 citations), Information Systems (430 citations) and Signal Processing (169 citations). Vuk Ercegovac has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Eugene J. Shekita, Andrey Balmin, Jun Rao, Jignesh M. Patel, Spyros Blanas, Yuanyuan Tian, Kevin Beyer, Fatma Özcan, Carl-Christian Kanne and Rainer Gemulla. Their work appears in journals such as IBM Journal of Research and Development, Proceedings of the VLDB Endowment and ACM SIGMOD Record.
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.