Rares Vernica
- Information Systems top 2%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Michael J. CareyChen LiVinayak BorkarNicola OnoseRaman GroverNick KoudasAnthony K. H. TungAndrey Balmin
- Topics
- Data Management and Algorithms (11 papers)Advanced Database Systems and Queries (9 papers)Cloud Computing and Resource Management (5 papers)
- Journals
- Journal of Chemical Information and ModelingProceedings of the VLDB EndowmentThe VLDB Journal
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Rares Vernica
23 papers receiving 733 citations
Peers
Comparison fields: 5 of 51
- Information Systems 458
- Computer Networks and Communications 444
- Signal Processing 295
- Artificial Intelligence 215
- Management Science and Operations Research 210
Countries citing papers authored by Rares Vernica
This map shows the geographic impact of Rares Vernica'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 Rares Vernica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rares Vernica more than expected).
Fields of papers citing papers by Rares Vernica
This network shows the impact of papers produced by Rares Vernica. 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 Rares Vernica. The network helps show where Rares Vernica may publish in the future.
Co-authorship network of co-authors of Rares Vernica
This figure shows the co-authorship network connecting the top 25 collaborators of Rares Vernica. A scholar is included among the top collaborators of Rares Vernica 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 Rares Vernica. Rares Vernica 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 | 9 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | Adaptive Processing of User-Defined Aggregates in Jaql. | 3 |
| 14 | Efficient processing of set-similarity joins on large clusters | 5 |
| 15 | 170 | |
| 16 | 67 | |
| 17 | 295 | |
| 18 | 22 | |
| 19 | 9 | |
| 20 | 64 |
About Rares Vernica
Rares Vernica is a scholar working on Signal Processing, Computer Networks and Communications and Computer Science Applications, having authored 23 papers that have together received 788 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Advanced Database Systems and Queries (9 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Signal Processing (295 citations), Information Systems (458 citations) and Computer Networks and Communications (444 citations). Rares Vernica has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Michael J. Carey, Chen Li, Vinayak Borkar, Nicola Onose, Raman Grover, Nick Koudas, Anthony K. H. Tung, Andrey Balmin, Vuk Ercegovac and Kevin Beyer. Their work appears in journals such as Journal of Chemical Information and Modeling, Proceedings of the VLDB Endowment and The VLDB Journal.
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.