Marcin Pilarczyk

1.4k citations
6 papers · 310 indexed · h-index 5
Topics
Data Mining Algorithms and Applications (2 papers)Scientific Computing and Data Management (2 papers)Big Data and Business Intelligence (1 paper)

In The Last Decade

Marcin Pilarczyk

6 papers receiving 303 citations

Peers

Marcin Pilarczyk
Comparison fields: 5 of 87
  • Molecular Biology 195
  • Computational Theory and Mathematics 52
  • Immunology 44
  • Oncology 36
  • Cancer Research 34
Replace Prisca Lo Surdo with:
Prisca Lo Surdo Italy
Alberto Calderone Italy
Sanjana Gupta United States
Julian Schwab Germany
Oleksii S. Rukhlenko Ireland
Haider Iqbal United Kingdom
Yubo Fan United States
Laurent Winckers Netherlands
Mingkun Lu China
Z. Hu United States
Marcin Pilarczyk relative to Prisca Lo Surdo Italy Prisca Lo Surdo's profile →
Citations per field
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Prisca Lo Surdo · 1×
Citations per year

Countries citing papers authored by Marcin Pilarczyk

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Pilarczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Pilarczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Pilarczyk. A scholar is included among the top collaborators of Marcin Pilarczyk 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 Marcin Pilarczyk. Marcin Pilarczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 133
2 100
3
The smartAPI ecosystem for making Web APIs FAIR
2
4 65
5 6
6 4

About Marcin Pilarczyk

Marcin Pilarczyk is a scholar working on Information Systems and Management, Geology and Information Systems, having authored 6 papers that have together received 310 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (2 papers), Scientific Computing and Data Management (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computational Theory and Mathematics (52 citations), Biophysics (17 citations) and Molecular Biology (195 citations). Marcin Pilarczyk has collaborated with scholars based in United States, Poland and Netherlands. Frequent co-authors include Mario Medvedovic, Michal Kouril, Naim Al Mahi, Elizabeth H. Williams, Nicholas A. Clark, Mario Niepel, Marc Hafner, Jeremy L. Muhlich, Peter K. Sorger and Mehdi Fazel‐Najafabadi. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and BMC Cancer.

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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