Dalibor Fiala
- Statistics, Probability and Uncertainty top 1%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Co-authors
- Karel JežekFrançois RousselotPeter WillettSlavko ŽitnikMarko BajecLovro ŠubeljRobert HableLutz Bornmann
- Topics
- Complex Network Analysis Techniques (13 papers)Web Data Mining and Analysis (10 papers)scientometrics and bibliometrics research (10 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsInformation Systems
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesScientometrics
In The Last Decade
Dalibor Fiala
35 papers receiving 415 citations
Peers
Comparison fields: 5 of 81
- Statistics, Probability and Uncertainty 182
- Statistical and Nonlinear Physics 165
- Information Systems 152
- Artificial Intelligence 134
- Computer Networks and Communications 39
Countries citing papers authored by Dalibor Fiala
This map shows the geographic impact of Dalibor Fiala'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 Dalibor Fiala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalibor Fiala more than expected).
Fields of papers citing papers by Dalibor Fiala
This network shows the impact of papers produced by Dalibor Fiala. 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 Dalibor Fiala. The network helps show where Dalibor Fiala may publish in the future.
Co-authorship network of co-authors of Dalibor Fiala
This figure shows the co-authorship network connecting the top 25 collaborators of Dalibor Fiala. A scholar is included among the top collaborators of Dalibor Fiala 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 Dalibor Fiala. Dalibor Fiala 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 | 2 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 32 | |
| 12 | 8 | |
| 13 | 26 | |
| 14 | Twenty years of Czech science: A bibliometric analysis | 3 |
| 15 | 44 | |
| 16 | Sub-organizations of institutions in computer science journals at the turn of the century | 4 |
| 17 | 15 | |
| 18 | 6 | |
| 19 | Exploration and Evaluation of Citation Networks | 4 |
| 20 | 4 |
About Dalibor Fiala
Dalibor Fiala is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Information Systems, having authored 36 papers that have together received 426 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Web Data Mining and Analysis (10 papers) and scientometrics and bibliometrics research (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (182 citations), Statistical and Nonlinear Physics (165 citations) and Information Systems (152 citations). Dalibor Fiala has collaborated with scholars based in Czechia, Germany and Slovakia. Frequent co-authors include Karel Ježek, François Rousselot, Peter Willett, Slavko Žitnik, Marko Bajec, Lovro Šubelj, Robert Hable, Lutz Bornmann, Pavel Král and Yuh‐Shan Ho. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Scientometrics.
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.