Denis Gračanin
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Krešimir MatkovićKimon P. ValavanisHelwig HauserMaja MatijaševićMohamed EltoweissyRamesh KolluruJisun KimFrancis Quek
- Topics
- Data Visualization and Analytics (28 papers)Peer-to-Peer Network Technologies (16 papers)Computer Graphics and Visualization Techniques (14 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesAustriaNorway
In The Last Decade
Denis Gračanin
167 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 524
- Computer Networks and Communications 272
- Artificial Intelligence 247
- Information Systems 184
- Control and Systems Engineering 171
Countries citing papers authored by Denis Gračanin
This map shows the geographic impact of Denis Gračanin'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 Denis Gračanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Gračanin more than expected).
Fields of papers citing papers by Denis Gračanin
This network shows the impact of papers produced by Denis Gračanin. 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 Denis Gračanin. The network helps show where Denis Gračanin may publish in the future.
Co-authorship network of co-authors of Denis Gračanin
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Gračanin. A scholar is included among the top collaborators of Denis Gračanin 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 Denis Gračanin. Denis Gračanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | 1 | |
| 14 | Agile Sensor Network Systems. | 3 |
| 15 | Proceedings of the eleventh international conference on 3D web technology | 6 |
| 16 | Ubiquitous web services for e-government social services | 2 |
| 17 | 47 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 9 |
About Denis Gračanin
Denis Gračanin is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 175 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Visualization and Analytics (28 papers), Peer-to-Peer Network Technologies (16 papers) and Computer Graphics and Visualization Techniques (14 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Computer Vision and Pattern Recognition (524 citations) and Computer Graphics and Computer-Aided Design (86 citations). Denis Gračanin has collaborated with scholars based in United States, Austria and Norway. Frequent co-authors include Krešimir Matković, Kimon P. Valavanis, Helwig Hauser, Maja Matijašević, Mohamed Eltoweissy, Ramesh Kolluru, Jisun Kim, Francis Quek, Hicham G. Elmongui and John A. Richey. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.
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.