Peter Madzík

1.6k total citations · 1 hit paper
56 papers, 996 citations indexed

About

Peter Madzík is a scholar working on Strategy and Management, Management Information Systems and Marketing. According to data from OpenAlex, Peter Madzík has authored 56 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Strategy and Management, 19 papers in Management Information Systems and 11 papers in Marketing. Recurrent topics in Peter Madzík's work include Quality and Supply Management (16 papers), Quality and Management Systems (10 papers) and Sustainable Supply Chain Management (9 papers). Peter Madzík is often cited by papers focused on Quality and Supply Management (16 papers), Quality and Management Systems (10 papers) and Sustainable Supply Chain Management (9 papers). Peter Madzík collaborates with scholars based in Slovakia, Poland and Czechia. Peter Madzík's co-authors include Dominik Zimon, Lukáš Falát, Luay Jum’a, Muhammad Ikram, Lukáš Copuš, Robert Sroufe, Marco Valeri, Pedro Domingues, Arash Shahin and Scott Dellana and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Peter Madzík

50 papers receiving 931 citations

Hit Papers

Soft skills and their importance in the labour market und... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Madzík Slovakia 17 368 236 219 111 106 56 996
Ricardo Chalmeta Spain 19 400 1.1× 211 0.9× 347 1.6× 78 0.7× 132 1.2× 54 1.0k
George Onofrei Ireland 14 424 1.2× 244 1.0× 274 1.3× 57 0.5× 179 1.7× 36 837
Muhammad Hashim Pakistan 18 381 1.0× 296 1.3× 151 0.7× 104 0.9× 126 1.2× 61 1.0k
Luciana Oranges Cezarino Brazil 16 447 1.2× 195 0.8× 154 0.7× 83 0.7× 51 0.5× 62 1.0k
Anas A. Salameh Saudi Arabia 20 198 0.5× 209 0.9× 121 0.6× 124 1.1× 193 1.8× 125 1.2k
Aries Susanty Indonesia 16 324 0.9× 240 1.0× 116 0.5× 141 1.3× 213 2.0× 143 966
Anca Drăghici Romania 17 396 1.1× 103 0.4× 137 0.6× 76 0.7× 132 1.2× 103 1.2k
Anupama Prashar India 19 533 1.4× 179 0.8× 367 1.7× 56 0.5× 60 0.6× 85 1.2k
MaryAnne M. Gobble Russia 12 254 0.7× 135 0.6× 207 0.9× 49 0.4× 116 1.1× 50 773
Christian A. Cancino Chile 14 363 1.0× 174 0.7× 122 0.6× 93 0.8× 183 1.7× 39 1.2k

Countries citing papers authored by Peter Madzík

Since Specialization
Citations

This map shows the geographic impact of Peter Madzík'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 Peter Madzík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Madzík more than expected).

Fields of papers citing papers by Peter Madzík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Madzík. 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 Peter Madzík. The network helps show where Peter Madzík may publish in the future.

Co-authorship network of co-authors of Peter Madzík

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Madzík. A scholar is included among the top collaborators of Peter Madzík 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 Peter Madzík. Peter Madzík 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
2.
Madzík, Peter, Lukáš Falát, Raja Jayaraman, et al.. (2025). Exploring the directions of artificial intelligence in good health and well-being (SDG3) using big data and LDA topic modeling. Technovation. 151. 103404–103404.
3.
Falát, Lukáš, Katarína Valášková, Peter Madzík, et al.. (2025). Digital technologies and sustainability as evolving business processes – an AI-driven scientific mapping perspective. Business Process Management Journal. 1–30.
4.
Madzík, Peter, et al.. (2024). Resilience in supply chain risk management in disruptive world: rerouting research directions during and after pandemic. Annals of Operations Research. 5 indexed citations
5.
Copuš, Lukáš, et al.. (2024). Navigating the human element: Unveiling insights into workforce dynamics in supply chain automation through smart bibliometric analysis. E+M Ekonomie a Management. 27(3). 72–87. 1 indexed citations
6.
Copuš, Lukáš, et al.. (2024). The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation. Journal of the Knowledge Economy. 16(1). 2082–2118. 1 indexed citations
7.
Michalová, Tereza, et al.. (2024). Altruistic leadership and its role in reducing knowledge hiding: the mediating effects of team learning and knowledge culture. Journal of Innovation & Knowledge. 9(4). 100592–100592. 2 indexed citations
8.
Madzík, Peter, et al.. (2024). The Strategic Path to Success: Key Aspects of Business Digital Transformation in the Post-Pandemic Era. IEEE Access. 12. 65595–65605. 1 indexed citations
9.
Madzík, Peter, et al.. (2024). Understanding key factors in social enterprise development in Indonesia: case study approach for an optimal social enterprise business model. Social enterprise journal. 20(5). 678–700. 1 indexed citations
10.
Madzík, Peter, Lukáš Falát, & Dominik Zimon. (2023). Supply chain research overview from the early eighties to Covid era – Big data approach based on Latent Dirichlet Allocation. Computers & Industrial Engineering. 183. 109520–109520. 26 indexed citations
11.
Copuš, Lukáš, et al.. (2023). Is There a Possibility to Characterize an Organizational Culture by Its Selected Cultural Dimensions?. SAGE Open. 13(4). 1 indexed citations
13.
Madzík, Peter, et al.. (2023). Soft skills and their importance in the labour market under the conditions of Industry 5.0. Heliyon. 9(8). e18670–e18670. 114 indexed citations breakdown →
14.
Zimon, Dominik, et al.. (2022). SUPPLY CHAIN QUALITY MANAGEMENT (SCQM) LITERATURE REVIEW AND MODEL PROPOSAL IN THE ERA OF INDUSTRY 4.0. International Journal for Quality Research. 16(4). 1283–1296. 9 indexed citations
15.
Madzík, Peter & Lukáš Falát. (2022). State-of-the-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modelling. PLoS ONE. 17(5). e0268777–e0268777. 60 indexed citations
16.
Madzík, Peter, et al.. (2021). Comparison of demographic, geographic, psychographic and behavioural approach to customer segmentation. International Journal of Services and Operations Management. 40(3). 346–346. 3 indexed citations
17.
Madzík, Peter & Arash Shahin. (2020). Customer categorization using a three-dimensional loyalty matrix analogous to FMEA. International Journal of Quality & Reliability Management. 11 indexed citations
18.
Zimon, Dominik, Peter Madzík, & Robert Sroufe. (2020). The Influence of ISO 9001 & ISO 14001 on Sustainable Supply Chain Management in the Textile Industry. Sustainability. 12(10). 4282–4282. 30 indexed citations
19.
Madzík, Peter. (2019). Capture and evaluation of innovative ideas in early stages of product development. The TQM Journal. 31(6). 908–927. 17 indexed citations
20.
Madzík, Peter, et al.. (2018). Practical Experiences with the Application of Corporate Social Responsibility Principles in a Higher Education Environment. Sustainability. 10(6). 1736–1736. 15 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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