Łukasz Bolikowski

485 citations
18 papers · 218 indexed · h-index 8
Topics
Semantic Web and Ontologies (9 papers)Biomedical Text Mining and Ontologies (5 papers)Scientific Computing and Data Management (5 papers)
Partner nations
PolandItalyGermany

In The Last Decade

Łukasz Bolikowski

17 papers receiving 203 citations

Peers

Łukasz Bolikowski
Comparison fields: 5 of 64
  • Artificial Intelligence 123
  • Information Systems 73
  • Computer Vision and Pattern Recognition 52
  • Information Systems and Management 38
  • Management Science and Operations Research 28
Replace Dominika Tkaczyk with:
Dominika Tkaczyk Poland
Sagnik Ray Choudhury United States
Kai Eckert Germany
Alex Ratner United States
Kheir Eddine Farfar Germany
Jean-Charles Lamirel France
Mohamad Yaser Jaradeh Germany
Jennifer D’Souza Germany
Jennifer Vendetti United States
Ben De Meester Belgium
Łukasz Bolikowski relative to Dominika Tkaczyk Poland Dominika Tkaczyk's profile →
Citations per field
00.5×1.5×1.8×
Dominika Tkaczyk · 1×
Citations per year

Countries citing papers authored by Łukasz Bolikowski

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Bolikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Bolikowski

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 111
5 18
6 8
7 15
8 1
9 8
10 9
11 1
12 2
13 22
14 10
15 1
16
Towards a Flexible Author Name Disambiguation Framework
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17
Workflow of Metadata Extraction from Retro-Born Digital Documents
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18 3

About Łukasz Bolikowski

Łukasz Bolikowski is a scholar working on Information Systems and Management, Artificial Intelligence and Management Science and Operations Research, having authored 18 papers that have together received 218 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Information Systems and Management (38 citations), Artificial Intelligence (123 citations) and Information Systems (73 citations). Łukasz Bolikowski has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Dominika Tkaczyk, Paolo Manghi, T. J. Smith, К. Rusek, Anna Gambin, Michał Łukasik, Nikos Houssos, Birgit Schmidt and Joshua P. French. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal on Document Analysis and Recognition (IJDAR) and D-Lib Magazine.

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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