D. Donjerkovic
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Database Systems and Queries
Papers in
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- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 1
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- Data Visualization and Analytics 5
- Video Analysis and Summarization 4
- Image Retrieval and Classification Techniques 2
- Co-authors
- Raghu Ramakrishnan (6 shared papers)K. Beyer (4 shared papers)G. Chen (4 shared papers)Miron Livny (5 shared papers)Jussi Myllymaki (5 shared papers)Kent Wenger (4 shared papers)Yannis Ioannidis (1 shared paper)Raghu Ramakrishnan (1 shared paper)
- Journals
- ACM SIGMOD Record (2 papers)Minds at UW (University of Wisconsin) (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
D. Donjerkovic
8 papers receiving 271 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 193
- Computer Networks and Communications 193
- Computer Vision and Pattern Recognition 128
- Information Systems 72
- Artificial Intelligence 89
Countries citing papers authored by D. Donjerkovic
This map shows the geographic impact of D. Donjerkovic'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 D. Donjerkovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Donjerkovic more than expected).
Fields of papers citing papers by D. Donjerkovic
This network shows the impact of papers produced by D. Donjerkovic. 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 D. Donjerkovic. The network helps show where D. Donjerkovic may publish in the future.
Co-authors
The 12 scholars most cited alongside D. Donjerkovic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 113 | |
| 2 | Probabilistic Optimization of Top N Queries | 1999 | 84 |
| 3 | 2002 | 42 | |
| 4 | 2005 | 32 | |
| 5 | 1997 | 19 | |
| 6 | DEVise: Integrated Querying and Visual Exploration of Large Datasets (Demo Abstract) | 1997 | 5 |
| 7 | 1997 | 1 | |
| 8 | 1997 | 1 |
About D. Donjerkovic
D. Donjerkovic is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Infectious Diseases, having authored 8 papers that have together received 297 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Data Visualization and Analytics (5 papers), Data Mining Algorithms and Applications (4 papers), Video Analysis and Summarization (4 papers), Advanced Database Systems and Queries (3 papers), Image Retrieval and Classification Techniques (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (193 citations), Computer Networks and Communications (193 citations), Computer Vision and Pattern Recognition (128 citations), Information Systems (72 citations) and Artificial Intelligence (89 citations). D. Donjerkovic has collaborated with scholars based in United States and Greece. Frequent co-authors include Raghu Ramakrishnan, K. Beyer, G. Chen, Miron Livny, Jussi Myllymaki, Kent Wenger, Yannis Ioannidis, Raghu Ramakrishnan, Kevin Beyer and A. Ranganathan. Their work appears in journals such as ACM SIGMOD Record and Minds at UW (University of Wisconsin).
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.