Davor Horvatić
- Economics and Econometrics top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Finance top 1%
- Condensed Matter Physics top 5%
- Signal Processing top 5%
- Co-authors
- Boris PodobnikH. Eugene StanleyAlexander M. PetersenIvo GroßePlamen Ch. IvanovSuzana IlićAleksandar SabljićDubravko Klabučar
- Topics
- Complex Systems and Time Series Analysis (17 papers)Quantum Chromodynamics and Particle Interactions (14 papers)High-Energy Particle Collisions Research (12 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Science of The Total EnvironmentScientific Reports
- Partner nations
- CroatiaUnited StatesGermany
In The Last Decade
Davor Horvatić
52 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Economics and Econometrics 1.9k
- Statistical and Nonlinear Physics 874
- Finance 828
- Condensed Matter Physics 265
- Signal Processing 235
Countries citing papers authored by Davor Horvatić
This map shows the geographic impact of Davor Horvatić'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 Davor Horvatić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davor Horvatić more than expected).
Fields of papers citing papers by Davor Horvatić
This network shows the impact of papers produced by Davor Horvatić. 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 Davor Horvatić. The network helps show where Davor Horvatić may publish in the future.
Co-authorship network of co-authors of Davor Horvatić
This figure shows the co-authorship network connecting the top 25 collaborators of Davor Horvatić. A scholar is included among the top collaborators of Davor Horvatić 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 Davor Horvatić. Davor Horvatić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 33 | |
| 10 | 1 | |
| 11 | 105 | |
| 12 | 35 | |
| 13 | 197 | |
| 14 | 62 | |
| 15 | Quantifying cross-correlations using local and global detrending approachesbreakdown → | 382 |
| 16 | 7 | |
| 17 | 36 | |
| 18 | 75 | |
| 19 | The Extended Chiral Quark Model in a Tamm-Dancoff Inspired Approximation | 2 |
| 20 | 20 |
About Davor Horvatić
Davor Horvatić is a scholar working on Nuclear and High Energy Physics, Finance and Statistical and Nonlinear Physics, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (17 papers), Quantum Chromodynamics and Particle Interactions (14 papers) and High-Energy Particle Collisions Research (12 papers). The work is most often cited by research in Finance (828 citations), Statistical and Nonlinear Physics (874 citations) and Economics and Econometrics (1.9k citations). Davor Horvatić has collaborated with scholars based in Croatia, United States and Germany. Frequent co-authors include Boris Podobnik, H. Eugene Stanley, Alexander M. Petersen, Ivo Große, Plamen Ch. Ivanov, Suzana Ilić, Aleksandar Sabljić, Dubravko Klabučar, Tomislav Lipić and Sanjin Benić. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Scientific Reports.
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.