Jacek Sroka
- Molecular Biology
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Microbiology top 5%
- Economics and Econometrics
- Co-authors
- Jan HiddersNicholas R. JenningsTomasz MichalakTalal RahwanMichael WooldridgePaolo MissierPeter McBurneyDamian Neubauer
- Topics
- Scientific Computing and Data Management (9 papers)Distributed and Parallel Computing Systems (8 papers)Cloud Computing and Resource Management (5 papers)
- Partner nations
- PolandUnited KingdomNetherlands
In The Last Decade
Jacek Sroka
22 papers receiving 305 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Biology 107
- Computer Networks and Communications 78
- Management Science and Operations Research 72
- Microbiology 70
- Economics and Econometrics 60
Countries citing papers authored by Jacek Sroka
This map shows the geographic impact of Jacek Sroka'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 Jacek Sroka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek Sroka more than expected).
Fields of papers citing papers by Jacek Sroka
This network shows the impact of papers produced by Jacek Sroka. 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 Jacek Sroka. The network helps show where Jacek Sroka may publish in the future.
Co-authorship network of co-authors of Jacek Sroka
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Sroka. A scholar is included among the top collaborators of Jacek Sroka 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 Jacek Sroka. Jacek Sroka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Discovering highly potent antimicrobial peptides with deep generative model HydrAMPbreakdown → | 98 |
| 3 | 14 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies | 8 |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 44 | |
| 14 | 2 | |
| 15 | 28 | |
| 16 | 0 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | NRC as a formal model for expressing bioinformatics workflows | 2 |
About Jacek Sroka
Jacek Sroka 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 317 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (9 papers), Distributed and Parallel Computing Systems (8 papers) and Cloud Computing and Resource Management (5 papers). The work is most often cited by research in Microbiology (70 citations), Information Systems and Management (48 citations) and Management Science and Operations Research (72 citations). Jacek Sroka has collaborated with scholars based in Poland, United Kingdom and Netherlands. Frequent co-authors include Jan Hidders, Nicholas R. Jennings, Tomasz Michalak, Talal Rahwan, Michael Wooldridge, Paolo Missier, Peter McBurney, Damian Neubauer, Wojciech Kamysz and Marta Bauer. Their work appears in journals such as Nature Communications, Bioinformatics and BMC Bioinformatics.
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.