Tomasz Gubała
- Computer Networks and Communications top 10%
- Information Systems and Management top 5%
- Information Systems top 10%
- Molecular Biology
- Management Information Systems
- Co-authors
- Marian BubakM. MalawskiMarek KasztelnikPiotr NowakowskiBartosz BaliśKatarzyna RycerzJoanna KocotAndreas Hoheisel
- Topics
- Scientific Computing and Data Management (18 papers)Distributed and Parallel Computing Systems (14 papers)Business Process Modeling and Analysis (3 papers)
- Partner nations
- PolandNetherlandsUnited Kingdom
In The Last Decade
Tomasz Gubała
25 papers receiving 239 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 134
- Information Systems and Management 108
- Information Systems 68
- Molecular Biology 54
- Management Information Systems 17
Countries citing papers authored by Tomasz Gubała
This map shows the geographic impact of Tomasz Gubała'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 Tomasz Gubała with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Gubała more than expected).
Fields of papers citing papers by Tomasz Gubała
This network shows the impact of papers produced by Tomasz Gubała. 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 Tomasz Gubała. The network helps show where Tomasz Gubała may publish in the future.
Co-authorship network of co-authors of Tomasz Gubała
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Gubała. A scholar is included among the top collaborators of Tomasz Gubała 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 Tomasz Gubała. Tomasz Gubała is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 15 | |
| 14 | GridSpace Engine of the ViroLab Virtual Laboratory | 2 |
| 15 | ViroLab Virtual Laboratory | 3 |
| 16 | Development and execution of collaborative application on the ViroLab virtual laboratory | 1 |
| 17 | Highly Dynamic Workflow Orchestration for Scientific Applications | 8 |
| 18 | Collaborative Virtual Laboratory for e-Health | 7 |
| 19 | 14 | |
| 20 | 25 |
About Tomasz Gubała
Tomasz Gubała is a scholar working on Information Systems and Management, Computer Networks and Communications and Management Information Systems, having authored 25 papers that have together received 257 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (18 papers), Distributed and Parallel Computing Systems (14 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Information Systems and Management (108 citations), Computer Networks and Communications (134 citations) and Information Systems (68 citations). Tomasz Gubała has collaborated with scholars based in Poland, Netherlands and United Kingdom. Frequent co-authors include Marian Bubak, M. Malawski, Marek Kasztelnik, Piotr Nowakowski, Bartosz Baliś, Katarzyna Rycerz, Joanna Kocot, Andreas Hoheisel, Irena Roterman and Leszek Konieczny. Their work appears in journals such as International Journal of Molecular Sciences, Future Generation Computer Systems and Cancers.
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.