Natalia Kwaśnikowska

1.1k total citations · 1 hit paper
10 papers, 607 citations indexed

About

Natalia Kwaśnikowska is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Natalia Kwaśnikowska has authored 10 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Information Systems and Management and 6 papers in Information Systems. Recurrent topics in Natalia Kwaśnikowska's work include Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (7 papers) and Research Data Management Practices (5 papers). Natalia Kwaśnikowska is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (7 papers) and Research Data Management Practices (5 papers). Natalia Kwaśnikowska collaborates with scholars based in Belgium, United Kingdom and Netherlands. Natalia Kwaśnikowska's co-authors include Jan Van den Bussche, Luc Moreau, Paolo Missier, Joe Futrelle, Juliana Freire, Beth Plale, James D. Myers, Yogesh Simmhan, Paul Groth and Simon Miles and has published in prestigious journals such as Journal of Proteome Research, Future Generation Computer Systems and Information Systems.

In The Last Decade

Natalia Kwaśnikowska

10 papers receiving 566 citations

Hit Papers

The Open Provenance Model core specification (v1.1) 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Kwaśnikowska Belgium 8 473 363 318 124 107 10 607
Antoon Goderis United Kingdom 7 500 1.1× 348 1.0× 439 1.4× 101 0.8× 59 0.6× 15 628
Jiten Bhagat United Kingdom 8 700 1.5× 488 1.3× 382 1.2× 190 1.5× 104 1.0× 11 974
Aleksandra Nenadić United Kingdom 7 326 0.7× 216 0.6× 272 0.9× 110 0.9× 28 0.3× 23 522
Ewa Deelman United States 8 668 1.4× 582 1.6× 713 2.2× 100 0.8× 45 0.4× 9 912
R. Stevens United Kingdom 12 283 0.6× 211 0.6× 203 0.6× 264 2.1× 44 0.4× 16 630
Bertram Ludaescher United States 12 165 0.3× 158 0.4× 190 0.6× 87 0.7× 22 0.2× 33 361
Hasan M. Jamil United States 12 104 0.2× 200 0.6× 196 0.6× 232 1.9× 67 0.6× 113 587
Justin Ferris United Kingdom 6 1.2k 2.5× 644 1.8× 1000 3.1× 149 1.2× 103 1.0× 7 1.5k
James M. Blythe United States 9 856 1.8× 782 2.2× 1.1k 3.5× 89 0.7× 37 0.3× 16 1.3k
Chris Wroe United Kingdom 15 743 1.6× 600 1.7× 653 2.1× 485 3.9× 85 0.8× 43 1.3k

Countries citing papers authored by Natalia Kwaśnikowska

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Kwaśnikowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Kwaśnikowska

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

All Works

10 of 10 papers shown
1.
Kwaśnikowska, Natalia, Luc Moreau, & Jan Van den Bussche. (2015). A Formal Account of the Open Provenance Model. ACM Transactions on the Web. 9(2). 1–44. 11 indexed citations
2.
Acar, Umut A., Peter Buneman, James Cheney, et al.. (2010). Proceedings of the 2nd Conference on Theory and Practice of Provenance. 14 indexed citations
3.
Moreau, Luc, Ben Clifford, Juliana Freire, et al.. (2010). The Open Provenance Model core specification (v1.1). Future Generation Computer Systems. 27(6). 743–756. 429 indexed citations breakdown →
4.
Acar, Umut A., Peter Buneman, James Cheney, et al.. (2010). A graph model of data and workflow provenance. 8–8. 24 indexed citations
5.
Moreau, Luc, Natalia Kwaśnikowska, & Jan Van den Bussche. (2009). The Foundations of the Open Provenance Model. ePrints Soton (University of Southampton). 8 indexed citations
6.
Moreau, Luc, Beth Plale, Simon Miles, et al.. (2008). The Open Provenance Model (v1.01). ePrints Soton (University of Southampton). 32 indexed citations
7.
Hidders, Jan, et al.. (2007). DFL: A dataflow language based on Petri nets and nested relational calculus. Information Systems. 33(3). 261–284. 20 indexed citations
8.
Noben, Jean‐Paul, Debora Dumont, Natalia Kwaśnikowska, et al.. (2006). Lumbar Cerebrospinal Fluid Proteome in Multiple Sclerosis:  Characterization by Ultrafiltration, Liquid Chromatography, and Mass Spectrometry. Journal of Proteome Research. 5(7). 1647–1657. 60 indexed citations
9.
Gambin, Anna, Jan Hidders, Natalia Kwaśnikowska, et al.. (2005). NRC as a formal model for expressing bioinformatics workflows. 2 indexed citations
10.
Baets, Bernard De, Natalia Kwaśnikowska, & Etienne Kerre. (1997). Fuzzy morphology based on conjunctive uninorms. Ghent University Academic Bibliography (Ghent University). 7 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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