Oleksandra Panasiuk

634 citations
8 papers · 159 indexed · h-index 3
Journals
Neural Networks (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)WU Research (3 papers)
Partner nations
Austria

In The Last Decade

Oleksandra Panasiuk

6 papers receiving 151 citations

Peers

Oleksandra Panasiuk
Comparison fields: 5 of 64
  • Management Science and Operations Research 39
  • Artificial Intelligence 95
  • Architecture 3
  • Health Informatics 2
  • Information Systems 29
Replace Kevin Angele with:
Kevin Angele Austria
Elwin Huaman Austria
Xinhua Zhu China
Quan Lu China
Fengmei Jin China
Edgard Marx Germany
Itziar Aldabe Spain
Michael Zhu United States
Francesco Piccinno Italy
Varun Dogra India
Oleksandra Panasiuk relative to Kevin Angele Austria Kevin Angele's profile →
Citations per field
00.5×1.5×
Kevin Angele · 1×
Citations per year

Countries citing papers authored by Oleksandra Panasiuk

Since Specialization
Citations

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

Fields of papers citing papers by Oleksandra Panasiuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Oleksandra Panasiuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Oleksandra Panasiuk Line = papers co-authored together Oleksandra Panasiuk links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202029
2 2020103
3
DALICC: A License Management Framework for Digital Assets
20192
4
Automatic License Compatibility Checking.
20191
5
A Genealogy and Classification of Rights Expression Languages – Preliminary Results
20181
6
DALICC: A Framework for Publishing and Consuming Data Assets Legally.
20180
7 20181
8 201522

About Oleksandra Panasiuk

Oleksandra Panasiuk is a scholar working on Marketing, Numerical Analysis, Geography, Planning and Development, Law and Applied Mathematics, having authored 8 papers that have together received 159 indexed citations. Recurring topics across this work include Copyright and Intellectual Property (2 papers), Digital Rights Management and Security (2 papers), Semantic Web and Ontologies (2 papers), Statistical and numerical algorithms (1 paper), Privacy-Preserving Technologies in Data (1 paper), Data Quality and Management (1 paper), Geographic Information Systems Studies (1 paper) and Optimization and Mathematical Programming (1 paper). The work is most often cited by research in Management Science and Operations Research (39 citations), Artificial Intelligence (95 citations), Architecture (3 citations), Health Informatics (2 citations) and Information Systems (29 citations). Oleksandra Panasiuk has collaborated with scholars based in Austria. Frequent co-authors include Alexander Wahler, Elwin Huaman, Umutcan Şimşek, Dieter Fensel, Ioan Toma, Jürgen Umbrich, Kevin Angele, Elias Kärle, Павло Іванович Ткаченко and Sergei V. Pereverzyev. Their work appears in journals such as Neural Networks, CERN Document Server (European Organization for Nuclear Research) and WU Research.

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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