Janusz Gajda
- Modeling and Simulation top 1%
- Economics and Econometrics top 10%
- Finance top 5%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Co-authors
- Agnieszka WyłomańskaMarcin MagdziarzGrzegorz SikoraAleksei V. ChechkinIgor M. SokolovArun KumarKrzysztof BurneckiDiego Krapf
- Topics
- Fractional Differential Equations Solutions (16 papers)Complex Systems and Time Series Analysis (14 papers)Financial Risk and Volatility Modeling (14 papers)
In The Last Decade
Janusz Gajda
43 papers receiving 477 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 204
- Economics and Econometrics 142
- Finance 141
- Statistical and Nonlinear Physics 137
- Molecular Biology 66
Countries citing papers authored by Janusz Gajda
This map shows the geographic impact of Janusz Gajda'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 Janusz Gajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janusz Gajda more than expected).
Fields of papers citing papers by Janusz Gajda
This network shows the impact of papers produced by Janusz Gajda. 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 Janusz Gajda. The network helps show where Janusz Gajda may publish in the future.
Co-authorship network of co-authors of Janusz Gajda
This figure shows the co-authorship network connecting the top 25 collaborators of Janusz Gajda. A scholar is included among the top collaborators of Janusz Gajda 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 Janusz Gajda. Janusz Gajda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 27 | |
| 14 | 46 | |
| 15 | 12 | |
| 16 | 18 | |
| 17 | 82 | |
| 18 | Substancje dodatkowe w produktach rybnych | 1 |
| 19 | Substancje dodatkowe w lodach i wyrobach cukierniczych | 1 |
| 20 | Substancje dodatkowe w produktach mleczarskich | 0 |
About Janusz Gajda
Janusz Gajda is a scholar working on Modeling and Simulation, Finance and Statistical and Nonlinear Physics, having authored 46 papers that have together received 490 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (16 papers), Complex Systems and Time Series Analysis (14 papers) and Financial Risk and Volatility Modeling (14 papers). The work is most often cited by research in Modeling and Simulation (204 citations), Finance (141 citations) and Statistical and Nonlinear Physics (137 citations). Janusz Gajda has collaborated with scholars based in Poland, India and Italy. Frequent co-authors include Agnieszka Wyłomańska, Marcin Magdziarz, Grzegorz Sikora, Aleksei V. Chechkin, Igor M. Sokolov, Arun Kumar, Krzysztof Burnecki, Diego Krapf, Elizabeth J. Akin and Laura Solé. Their work appears in journals such as Sensors, Sustainability and Physica A Statistical Mechanics and its Applications.
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.