Vlad Merticariu
- Computer Networks and Communications
- Signal Processing
- Information Systems and Management
- Artificial Intelligence
- Geography, Planning and Development top 10%
- Co-authors
- Peter BaumannDimitar MiševJoan MasóJan D. KellerAngelo Pio RossiAndreas HensePatrick HoganFelix Kleinert
- Topics
- Advanced Database Systems and Queries (8 papers)Distributed and Parallel Computing Systems (8 papers)Data Management and Algorithms (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaLand Degradation and DevelopmentJournal Of Big Data
In The Last Decade
Vlad Merticariu
19 papers receiving 98 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 49
- Signal Processing 35
- Information Systems and Management 23
- Artificial Intelligence 21
- Geography, Planning and Development 20
Countries citing papers authored by Vlad Merticariu
This map shows the geographic impact of Vlad Merticariu'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 Vlad Merticariu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlad Merticariu more than expected).
Fields of papers citing papers by Vlad Merticariu
This network shows the impact of papers produced by Vlad Merticariu. 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 Vlad Merticariu. The network helps show where Vlad Merticariu may publish in the future.
Co-authorship network of co-authors of Vlad Merticariu
This figure shows the co-authorship network connecting the top 25 collaborators of Vlad Merticariu. A scholar is included among the top collaborators of Vlad Merticariu 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 Vlad Merticariu. Vlad Merticariu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | DeepRain - Improved local-scale prediction of precipitation through deep learning | 1 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | The EarthServer Federation: State, Role, and Contribution to GEOSS | 2 |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | Array Processing in the Cloud: the rasdaman Approach | 1 |
| 17 | 12 | |
| 18 | Analyzing Lunar DTMs through web services with Earthserver/Planetserver-2 | 3 |
| 19 | 16 | |
| 20 | 2 |
About Vlad Merticariu
Vlad Merticariu is a scholar working on Information Systems and Management, Signal Processing and Computer Networks and Communications, having authored 20 papers that have together received 100 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (8 papers), Distributed and Parallel Computing Systems (8 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Geography, Planning and Development (20 citations), Information Systems and Management (23 citations) and Signal Processing (35 citations). Vlad Merticariu has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Peter Baumann, Dimitar Mišev, Joan Masó, Peter Baumann, Jan D. Keller, Angelo Pio Rossi, Andreas Hense, Patrick Hogan, Felix Kleinert and Gordon Pipa. Their work appears in journals such as SHILAP Revista de lepidopterología, Land Degradation and Development and Journal Of Big Data.
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.