Marek Laskowski
Impact in
- Information Systems top 0.5%
- Blockchain Technology Applications and Security
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- FinTech, Crowdfunding, Digital Finance
- Supply Chain and Inventory Management
Papers in
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- Blockchain Technology Applications and Security 15
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- COVID-19 epidemiological studies 11
- Co-authors
- Henry Kim (17 shared papers)Seyed M. Moghadas (11 shared papers)Hjalmar Turesson (4 shared papers)Amy L. Greer (5 shared papers)R.D. McLeod (5 shared papers)Marcia Friesen (4 shared papers)Attahiru Sule Alfa (1 shared paper)Affan Shoukat (2 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS ONE (3 papers)Business Horizons (1 paper)BMJ Open (1 paper)International Health (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marek Laskowski
39 papers receiving 1.2k citations
Marek Laskowski's Hit Papers
Peers
Comparison fields: 5 of 120
- Information Systems 855
- Management Information Systems 313
- Modeling and Simulation 85
- Strategy and Management 164
- Computer Networks and Communications 173
Countries citing papers authored by Marek Laskowski
This map shows the geographic impact of Marek Laskowski'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 Marek Laskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Laskowski more than expected).
Fields of papers citing papers by Marek Laskowski
This network shows the impact of papers produced by Marek Laskowski. 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 Marek Laskowski. The network helps show where Marek Laskowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Laskowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward an ontology‐driven blockchain design for supply‐chain provenance Hit paper breakdown → | 2018 | 438 |
| 2 | 2018 | 202 | |
| 3 | 2019 | 79 | |
| 4 | 2016 | 78 | |
| 5 | 2009 | 47 | |
| 6 | 2017 | 40 | |
| 7 | 2017 | 37 | |
| 8 | 2011 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2013 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2018 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2011 | 10 |
About Marek Laskowski
Marek Laskowski is a scholar working on Information Systems, Modeling and Simulation, Epidemiology, Management Information Systems and Artificial Intelligence, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (15 papers), COVID-19 epidemiological studies (11 papers), FinTech, Crowdfunding, Digital Finance (7 papers), Influenza Virus Research Studies (5 papers), Data-Driven Disease Surveillance (5 papers), Healthcare Operations and Scheduling Optimization (3 papers), Digital Platforms and Economics (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Information Systems (855 citations), Management Information Systems (313 citations), Modeling and Simulation (85 citations), Strategy and Management (164 citations) and Computer Networks and Communications (173 citations). Marek Laskowski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Henry Kim, Seyed M. Moghadas, Hjalmar Turesson, Amy L. Greer, R.D. McLeod, Marcia Friesen, Attahiru Sule Alfa, Affan Shoukat, Aquino L. Espíndola and Jian Wu. Their work appears in journals such as Scientific Reports, PLoS ONE, Business Horizons, BMJ Open and International Health.
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.