Marek Laskowski
- Information Systems top 0.5%
- Management Information Systems top 2%
- Computer Networks and Communications top 5%
- Strategy and Management top 5%
- Artificial Intelligence top 10%
- Co-authors
- Henry KimSeyed M. MoghadasHjalmar TuressonAmy L. GreerR.D. McLeodMarcia FriesenAttahiru Sule AlfaAffan Shoukat
- Topics
- Blockchain Technology Applications and Security (15 papers)COVID-19 epidemiological studies (11 papers)FinTech, Crowdfunding, Digital Finance (7 papers)
- Journals
- PLoS ONEScientific ReportsComputer
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marek Laskowski
39 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Information Systems 855
- Management Information Systems 313
- Computer Networks and Communications 173
- Strategy and Management 164
- Artificial Intelligence 148
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-authorship network of co-authors of Marek Laskowski
This figure shows the co-authorship network connecting the top 25 collaborators of Marek Laskowski. A scholar is included among the top collaborators of Marek Laskowski 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 Marek Laskowski. Marek Laskowski 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 | 79 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 40 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 15 | |
| 13 | 78 | |
| 14 | 1 | |
| 15 | 29 | |
| 16 | Smartphone Technologies for Social Network Data Generation and Infectious Disease Modeling | 2 |
| 17 | An agent based decision support framework for healthcare policy, augmented with stateful genetic programming | 1 |
| 18 | 2 | |
| 19 | Pisanie kreatywne na poziomie szkoły średniej | 0 |
| 20 | 47 |
About Marek Laskowski
Marek Laskowski is a scholar working on Modeling and Simulation, Management Information Systems and Information Systems, 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) and FinTech, Crowdfunding, Digital Finance (7 papers). The work is most often cited by research in Information Systems (855 citations), Management Information Systems (313 citations) and Modeling and Simulation (85 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, Jian Wu and Aquino L. Espíndola. Their work appears in journals such as PLoS ONE, Scientific Reports and Computer.
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.