Katarzyna Antosz

61 papers receiving 561 citations

Peers

Katarzyna Antosz
Comparison fields: 5 of 96
  • Strategy and Management 159
  • Industrial and Manufacturing Engineering 154
  • Management Information Systems 153
  • Mechanical Engineering 110
  • Management Science and Operations Research 93
Replace Małgorzata Jasiulewicz–Kaczmarek with:
Małgorzata Jasiulewicz–Kaczmarek Poland
Irene Roda Italy
Christer Stenström Sweden
W. Klingenberg Netherlands
Qinming Liu China
Peter Söderholm Sweden
R.W.L. Ip Hong Kong
Abdellah El Barkany Morocco
Jayantha P. Liyanage Norway
Gopinath Chattopadhyay Australia
Katarzyna Antosz relative to Małgorzata Jasiulewicz–Kaczmarek Poland Małgorzata Jasiulewicz–Kaczmarek's profile →
Citations per field
00.5×1.6×
Małgorzata Jasiulewicz–Kaczmarek · 1×
Citations per year

Countries citing papers authored by Katarzyna Antosz

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Antosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Antosz

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Antosz. A scholar is included among the top collaborators of Katarzyna Antosz 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 Katarzyna Antosz. Katarzyna Antosz 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
#WorkIndexed citations
1 11
2 5
3 3
4 3
5 5
6 1
7 2
8 0
9 4
10 11
11 1
12 14
13 5
14 44
15 2
16 1
17 26
18
CONTINUOUS IMPROVEMENT PRACTICE IN LARGE ENTERPRISES: STUDY RESULTS
9
19
The results of the study concerning the identification of the activities realized in the management of the technical infrastructure in large enterprises
8
20
Effective Management of Technological Machines System in a Production Company
5

About Katarzyna Antosz

Katarzyna Antosz is a scholar working on Medical Laboratory Technology, Strategy and Management and Safety, Risk, Reliability and Quality, having authored 65 papers that have together received 597 indexed citations. Recurring topics across this work include Quality and Management Systems (22 papers), Quality and Supply Management (11 papers) and Reliability and Maintenance Optimization (11 papers). The work is most often cited by research in Medical Laboratory Technology (61 citations), Management Information Systems (153 citations) and Industrial and Manufacturing Engineering (154 citations). Katarzyna Antosz has collaborated with scholars based in Poland, Norway and Portugal. Frequent co-authors include R. M. Chandima Ratnayake, Dorota Stadnicka, Małgorzata Jasiulewicz–Kaczmarek, Łukasz Paśko, Arkadiusz Gola, Andrzej Pacana, José Machado, Dariusz Mazurkiewicz, Edward Kozłowski and Robert Waszkowski. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Sustainability.

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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