Łukasz Łaciński
- Computer Networks and Communications top 10%
- Information Systems and Management top 5%
- Information Systems top 5%
- Molecular Biology
- Artificial Intelligence
- Topics
- Distributed and Parallel Computing Systems (11 papers)Scientific Computing and Data Management (11 papers)Advanced Data Storage Technologies (7 papers)
- Journals
- Journal of Biomedical InformaticsComputational and Structural Biotechnology JournalJournal of Thermal Stresses
- Partner nations
- United StatesPolandNew Zealand
In The Last Decade
Łukasz Łaciński
17 papers receiving 289 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 151
- Information Systems and Management 134
- Information Systems 132
- Molecular Biology 72
- Artificial Intelligence 33
Countries citing papers authored by Łukasz Łaciński
This map shows the geographic impact of Łukasz Łaciński'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 Łukasz Łaciński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Łukasz Łaciński more than expected).
Fields of papers citing papers by Łukasz Łaciński
This network shows the impact of papers produced by Łukasz Łaciński. 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 Łukasz Łaciński. The network helps show where Łukasz Łaciński may publish in the future.
Co-authorship network of co-authors of Łukasz Łaciński
This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Łaciński. A scholar is included among the top collaborators of Łukasz Łaciński 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 Łukasz Łaciński. Łukasz Łaciński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 37 | |
| 4 | 32 | |
| 5 | 50 | |
| 6 | 12 | |
| 7 | 50 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | End-To-End Solution for Integrated Workload and Data Management Using Glidein WMS and Globus Online | 1 |
| 12 | 3 | |
| 13 | 48 | |
| 14 | A contribution to the modeling of nonstationary processes in functionally graded laminates | 1 |
| 15 | ASYMPTOTIC MODELS OF THE HEAT TRANSFER IN LAMINATED CONDUCTORS | 2 |
| 16 | 16 | |
| 17 | Numerical verification of two mathematical models for the heat transfer in a laminated rigid conductor | 10 |
| 18 | 0 |
About Łukasz Łaciński
Łukasz Łaciński is a scholar working on Information Systems and Management, Computer Networks and Communications and Computational Theory and Mathematics, having authored 18 papers that have together received 308 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (11 papers), Scientific Computing and Data Management (11 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Information Systems and Management (134 citations), Computer Networks and Communications (151 citations) and Information Systems (132 citations). Łukasz Łaciński has collaborated with scholars based in United States, Poland and New Zealand. Frequent co-authors include Ian Foster, Ravi Madduri, Kyle Chard, Shantenu Jha, André Luckow, Bo Liu, Dinanath Sulakhe, Ryan Chard, Álex Rodríguez and Czesław Woźniak. Their work appears in journals such as Journal of Biomedical Informatics, Computational and Structural Biotechnology Journal and Journal of Thermal Stresses.
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.