Krešimir Pripužić
- Computer Networks and Communications top 5%
- Computer Science Applications top 2%
- Information Systems top 10%
- Transportation top 5%
- Artificial Intelligence
- Co-authors
- Ivana Podnar ŽarkoAleksandar AntonićMartina MarjanovićMartín SerranoLea Skorin‐KapovKarl AbererManfred HauswirthMarin Vuković
- Topics
- Data Management and Algorithms (9 papers)Peer-to-Peer Network Technologies (8 papers)Mobile Crowdsensing and Crowdsourcing (6 papers)
- Journals
- Future Generation Computer SystemsJournal of Network and Computer ApplicationsACM Transactions on Database Systems
- Partner nations
- CroatiaSwitzerlandIreland
In The Last Decade
Krešimir Pripužić
24 papers receiving 397 citations
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 213
- Computer Science Applications 128
- Information Systems 92
- Transportation 85
- Artificial Intelligence 73
Countries citing papers authored by Krešimir Pripužić
This map shows the geographic impact of Krešimir Pripužić'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 Krešimir Pripužić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krešimir Pripužić more than expected).
Fields of papers citing papers by Krešimir Pripužić
This network shows the impact of papers produced by Krešimir Pripužić. 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 Krešimir Pripužić. The network helps show where Krešimir Pripužić may publish in the future.
Co-authorship network of co-authors of Krešimir Pripužić
This figure shows the co-authorship network connecting the top 25 collaborators of Krešimir Pripužić. A scholar is included among the top collaborators of Krešimir Pripužić 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 Krešimir Pripužić. Krešimir Pripužić 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 | 3 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 101 | |
| 6 | 68 | |
| 7 | 62 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 25 | |
| 12 | Building an IPTV VoD recommender system: An experience report | 6 |
| 13 | 9 | |
| 14 | Presence@FER: An ecosystem for rich presence | 2 |
| 15 | 4 | |
| 16 | Teaching Project Management to Graduate Students of Electrical Engineering and Computing | 2 |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 0 |
About Krešimir Pripužić
Krešimir Pripužić is a scholar working on Computer Science Applications, Signal Processing and Transportation, having authored 26 papers that have together received 413 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Peer-to-Peer Network Technologies (8 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Computer Science Applications (128 citations), Transportation (85 citations) and Computer Networks and Communications (213 citations). Krešimir Pripužić has collaborated with scholars based in Croatia, Switzerland and Ireland. Frequent co-authors include Ivana Podnar Žarko, Aleksandar Antonić, Martina Marjanović, Martín Serrano, Lea Skorin‐Kapov, Karl Aberer, Manfred Hauswirth, Marin Vuković, Maja Matijašević and Dinko Oletić. Their work appears in journals such as Future Generation Computer Systems, Journal of Network and Computer Applications and ACM Transactions on Database Systems.
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.