Dragutin Petković
- Computer Vision and Pattern Recognition top 0.1%
- Signal Processing top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Information Systems top 2%
- Co-authors
- Myron FlicknerW. NiblackJohn W. HafnerW. EquitzChristos FaloutsosD. LeeByron DomDavid A. Steele
- Topics
- Image Retrieval and Classification Techniques (20 papers)Advanced Image and Video Retrieval Techniques (18 papers)Video Analysis and Summarization (13 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Dragutin Petković
70 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 4.6k
- Signal Processing 1.1k
- Artificial Intelligence 703
- Media Technology 437
- Information Systems 335
Countries citing papers authored by Dragutin Petković
This map shows the geographic impact of Dragutin Petković'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 Dragutin Petković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragutin Petković more than expected).
Fields of papers citing papers by Dragutin Petković
This network shows the impact of papers produced by Dragutin Petković. 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 Dragutin Petković. The network helps show where Dragutin Petković may publish in the future.
Co-authorship network of co-authors of Dragutin Petković
This figure shows the co-authorship network connecting the top 25 collaborators of Dragutin Petković. A scholar is included among the top collaborators of Dragutin Petković 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 Dragutin Petković. Dragutin Petković 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 | 5 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 58 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 36 | |
| 14 | Challenges and Opportunities for Pattern Recognition and Computer Vision Research in Year 2000 and Beyond | 2 |
| 15 | Efficient and effective Querying by Image Contentbreakdown → | 831 |
| 16 | 0 | |
| 17 | <title>QBIC project: querying images by content, using color, texture, and shape</title>breakdown → | 1215 |
| 18 | 24 | |
| 19 | 12 | |
| 20 | 0 |
About Dragutin Petković
Dragutin Petković is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Health Informatics, having authored 75 papers that have together received 5.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (20 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Video Analysis and Summarization (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.6k citations), Signal Processing (1.1k citations) and Media Technology (437 citations). Dragutin Petković has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Myron Flickner, W. Niblack, John W. Hafner, W. Equitz, Christos Faloutsos, D. Lee, Byron Dom, David A. Steele, J. Ashley and Harpreet Sawhney. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.