Krešimir Matković

1.4k citations
79 papers · 800 indexed · h-index 17
Topics
Data Visualization and Analytics (47 papers)Computer Graphics and Visualization Techniques (20 papers)Time Series Analysis and Forecasting (8 papers)

In The Last Decade

Krešimir Matković

77 papers receiving 761 citations

Peers

Krešimir Matković
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 542
  • Artificial Intelligence 184
  • Computer Graphics and Computer-Aided Design 162
  • Signal Processing 132
  • Human-Computer Interaction 77
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Aidong Lu United States
Craig M. Wittenbrink United States
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Haim Levkowitz United States
Johannes Kehrer Norway
Jiazhi Xia China
Masahiro Takatsuka Australia
Danhang Tang United States
Harish Doraiswamy United States
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Citations per field
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Citations per year

Countries citing papers authored by Krešimir Matković

Since Specialization
Citations

This map shows the geographic impact of Krešimir Matković'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 Matković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krešimir Matković more than expected).

Fields of papers citing papers by Krešimir Matković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krešimir Matković. 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 Matković. The network helps show where Krešimir Matković may publish in the future.

Co-authorship network of co-authors of Krešimir Matković

This figure shows the co-authorship network connecting the top 25 collaborators of Krešimir Matković. A scholar is included among the top collaborators of Krešimir Matković 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 Matković. Krešimir Matković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 1
4 5
5 1
6 3
7 3
8 4
9 6
10
Interactive Visual Analysis of Intensive Care Unit Data - Relationship between Serum Sodium Concentration, its Rate of Change and Survival Outcome.
1
11 8
12
An approach to quantification and analysis of quality in Distributed Virtual Environments
1
13 6
14 9
15 29
16 24
17 38
18 4
19 47
20 5

About Krešimir Matković

Krešimir Matković is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 79 papers that have together received 800 indexed citations. Recurring topics across this work include Data Visualization and Analytics (47 papers), Computer Graphics and Visualization Techniques (20 papers) and Time Series Analysis and Forecasting (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (162 citations), Computer Vision and Pattern Recognition (542 citations) and Human-Computer Interaction (77 citations). Krešimir Matković has collaborated with scholars based in Austria, United States and Norway. Frequent co-authors include Denis Gračanin, Helwig Hauser, Werner Purgathofer, László Neumann, Holger Theisel, Mohamed Eltoweissy, Raphael Fuchs, Ronald Peikert, M. Eduard Gröller and Claudio Delrieux. Their work appears in journals such as IEEE Access, Journal of the Operational Research Society and Critical Care.

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.

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