Marek Laskowski

2.1k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Marek Laskowski is a scholar working on Information Systems, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Marek Laskowski has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 11 papers in Modeling and Simulation and 10 papers in Epidemiology. Recurrent topics in Marek Laskowski's work include Blockchain Technology Applications and Security (15 papers), COVID-19 epidemiological studies (11 papers) and FinTech, Crowdfunding, Digital Finance (7 papers). Marek Laskowski is often cited by papers focused on Blockchain Technology Applications and Security (15 papers), COVID-19 epidemiological studies (11 papers) and FinTech, Crowdfunding, Digital Finance (7 papers). Marek Laskowski collaborates with scholars based in Canada, United States and United Kingdom. Marek Laskowski's 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 and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computer.

In The Last Decade

Marek Laskowski

39 papers receiving 1.2k citations

Hit Papers

Toward an ontology‐driven blockchain design for supply‐ch... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marek Laskowski Canada 15 855 313 173 164 148 40 1.2k
Nishara Nizamuddin United Arab Emirates 11 1.3k 1.5× 289 0.9× 434 2.5× 141 0.9× 289 2.0× 16 1.6k
Thomas K. Dasaklis Greece 19 1.9k 2.3× 601 1.9× 542 3.1× 578 3.5× 308 2.1× 47 2.8k
Petar Radanliev United Kingdom 24 383 0.4× 176 0.6× 307 1.8× 133 0.8× 241 1.6× 72 1.3k
Nikolaos P. Rachaniotis Greece 13 283 0.3× 227 0.7× 31 0.2× 372 2.3× 25 0.2× 31 969
Vatsal Gupta India 7 357 0.4× 54 0.2× 234 1.4× 61 0.4× 174 1.2× 12 923
Tsung-Ting Kuo United States 17 1.1k 1.3× 168 0.5× 503 2.9× 71 0.4× 574 3.9× 50 1.9k
Mazin Debe United Arab Emirates 13 829 1.0× 245 0.8× 309 1.8× 199 1.2× 161 1.1× 16 1.1k
Ilhaam A. Omar United Arab Emirates 11 587 0.7× 201 0.6× 165 1.0× 163 1.0× 100 0.7× 15 795
A. Blanton Godfrey United States 12 211 0.2× 599 1.9× 99 0.6× 366 2.2× 160 1.1× 32 1.6k
Hye-Young Paik Australia 19 962 1.1× 296 0.9× 378 2.2× 47 0.3× 498 3.4× 87 1.4k

Countries citing papers authored by Marek Laskowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Turesson, Hjalmar, et al.. (2021). Privacy Preserving Data Mining as Proof of Useful Work. Journal of Database Management. 32(1). 69–85. 6 indexed citations
2.
Kim, Henry, et al.. (2019). Thinking Outside the Block: Projected Phases of Blockchain Integration in the Accounting Industry. Australian Accounting Review. 29(2). 319–330. 79 indexed citations
3.
O’Sullivan, Terri L., et al.. (2019). Comparing the effects of non-homogenous mixing patterns on epidemiological outcomes in equine populations: A mathematical modelling study. Scientific Reports. 9(1). 3227–3227. 7 indexed citations
4.
O’Sullivan, Terri L., et al.. (2019). Validation of modified radio-frequency identification tag firmware, using an equine population case study. PLoS ONE. 14(1). e0210148–e0210148. 5 indexed citations
5.
Champredon, David, Marek Laskowski, Nathalie Charland, & Seyed M. Moghadas. (2018). Assessing the benefits of early pandemic influenza vaccine availability: a case study for Ontario, Canada. Scientific Reports. 8(1). 6492–6492. 2 indexed citations
6.
Champredon, David, Mehdi Najafi, Marek Laskowski, Ayman Chit, & Seyed M. Moghadas. (2018). Individual movements and contact patterns in a Canadian long-term care facility. AIMS Public Health. 5(2). 111–121. 12 indexed citations
7.
O’Sullivan, Terri L., et al.. (2018). Comparison of the dynamic networks of four equine boarding and training facilities. Preventive Veterinary Medicine. 162. 84–94. 5 indexed citations
9.
Moghadas, Seyed M., Affan Shoukat, Aquino L. Espíndola, et al.. (2017). Asymptomatic Transmission and the Dynamics of Zika Infection. Scientific Reports. 7(1). 5829–5829. 40 indexed citations
10.
Najafi, Mehdi, Marek Laskowski, Pieter T. de Boer, et al.. (2017). The Effect of Individual Movements and Interventions on the Spread of Influenza in Long-Term Care Facilities. Medical Decision Making. 37(8). 871–881. 20 indexed citations
11.
Kim, Henry, et al.. (2017). Online serendipity: The case for curated recommender systems. Business Horizons. 60(5). 613–620. 12 indexed citations
12.
Espíndola, Aquino L., Marie Varughese, Marek Laskowski, et al.. (2016). Strategies for halting the rise of multidrug resistant TB epidemics: assessing the effect of early case detection and isolation. International Health. 9(2). 80–90. 15 indexed citations
13.
Kim, Henry & Marek Laskowski. (2016). Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance. SSRN Electronic Journal. 78 indexed citations
15.
Smith, Lee, Marcella Ucci, Alexi Marmot, et al.. (2013). Active buildings: modelling physical activity and movement in office buildings. An observational study protocol. BMJ Open. 3(11). e004103–e004103. 29 indexed citations
16.
Mukhi, Shamir, et al.. (2012). Smartphone Technologies for Social Network Data Generation and Infectious Disease Modeling. Journal of Medical and Biological Engineering. 32(4). 235–244. 2 indexed citations
17.
Laskowski, Marek. (2011). An agent based decision support framework for healthcare policy, augmented with stateful genetic programming. 1 indexed citations
18.
Laskowski, Marek, et al.. (2011). Improving Agent Based Models and Validation through Data Fusion. Online Journal of Public Health Informatics. 3(2). 2 indexed citations
19.
Laskowski, Marek. (2010). Pisanie kreatywne na poziomie szkoły średniej. 133–143.
20.
Laskowski, Marek, et al.. (2009). Models of Emergency Departments for Reducing Patient Waiting Times. PLoS ONE. 4(7). e6127–e6127. 47 indexed citations

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.

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