Ivan Gojmerac
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Peter ReichlΣέργιος ΣούρσοςIvana Podnar ŽarkoGiuseppe BianchiThomas ZieglerFabio RicciatoPatrick ZwicklGino Carrozzo
- Topics
- Internet Traffic Analysis and Secure E-voting (8 papers)Network Traffic and Congestion Control (7 papers)Software-Defined Networks and 5G (5 papers)
In The Last Decade
Ivan Gojmerac
26 papers receiving 215 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 191
- Electrical and Electronic Engineering 103
- Information Systems 47
- Computer Vision and Pattern Recognition 28
- Artificial Intelligence 28
Countries citing papers authored by Ivan Gojmerac
This map shows the geographic impact of Ivan Gojmerac'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 Ivan Gojmerac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Gojmerac more than expected).
Fields of papers citing papers by Ivan Gojmerac
This network shows the impact of papers produced by Ivan Gojmerac. 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 Ivan Gojmerac. The network helps show where Ivan Gojmerac may publish in the future.
Co-authorship network of co-authors of Ivan Gojmerac
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Gojmerac. A scholar is included among the top collaborators of Ivan Gojmerac 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 Ivan Gojmerac. Ivan Gojmerac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Taxonomy of Community Interaction in Crises and Disasters. | 1 |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 58 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | Feasibility of wire-speed hardware-based conditional per-flow encryption for on-the-fly protection of monitored traffic | 2 |
| 13 | 1 | |
| 14 | 12 | |
| 15 | Privacy-preserving network monitoring architecture for the future internet | 1 |
| 16 | 5 | |
| 17 | 8 | |
| 18 | Privacy-Aware Secure Monitoring. | 2 |
| 19 | Adaptive multi-path routing for internet traffic engineering | 2 |
| 20 | 41 |
About Ivan Gojmerac
Ivan Gojmerac is a scholar working on Computer Networks and Communications, Management Information Systems and Hardware and Architecture, having authored 29 papers that have together received 238 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (8 papers), Network Traffic and Congestion Control (7 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Computer Networks and Communications (191 citations), Information Systems (47 citations) and Computer Science Applications (11 citations). Ivan Gojmerac has collaborated with scholars based in Austria, Croatia and Italy. Frequent co-authors include Peter Reichl, Σέργιος Σούρσος, Ivana Podnar Žarko, Giuseppe Bianchi, Thomas Ziegler, Fabio Ricciato, Patrick Zwickl, Gino Carrozzo, Marcin Płóciennik and Simon Pietro Romano. Their work appears in journals such as Computer Networks, Computer Communications and Security and Communication Networks.
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.