Martin Nečaský

968 total citations
67 papers, 392 citations indexed

About

Martin Nečaský is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Martin Nečaský has authored 67 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 44 papers in Computer Networks and Communications and 35 papers in Information Systems. Recurrent topics in Martin Nečaský's work include Semantic Web and Ontologies (59 papers), Advanced Database Systems and Queries (43 papers) and Service-Oriented Architecture and Web Services (27 papers). Martin Nečaský is often cited by papers focused on Semantic Web and Ontologies (59 papers), Advanced Database Systems and Queries (43 papers) and Service-Oriented Architecture and Web Services (27 papers). Martin Nečaský collaborates with scholars based in Czechia, Australia and Croatia. Martin Nečaský's co-authors include Jakub Klímek, Irena Holubová, Petr Škoda, Jan Kučera, Sören Auer, Roberto Garcı́a, Tomáš Skopal, Jan Michelfeit, Jaroslav Pokorný and Vojtěch Svátek and has published in prestigious journals such as ACM Computing Surveys, Computers in Industry and Journal of Systems and Software.

In The Last Decade

Martin Nečaský

64 papers receiving 359 citations

Peers

Martin Nečaský
Arvid Heise Germany
Andrew Philpot United States
Guido Vetere United States
Martin Nečaský
Citations per year, relative to Martin Nečaský Martin Nečaský (= 1×) peers Jakub Klímek

Countries citing papers authored by Martin Nečaský

Since Specialization
Citations

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

Fields of papers citing papers by Martin Nečaský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Nečaský

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Nečaský. A scholar is included among the top collaborators of Martin Nečaský 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 Martin Nečaský. Martin Nečaský 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
2.
Krátký, Michal, et al.. (2017). Structural XML Query Processing. ACM Computing Surveys. 50(5). 1–41. 8 indexed citations
3.
Klímek, Jakub, Petr Škoda, & Martin Nečaský. (2016). Requirements on Linked Data Consumption Platform.. 4 indexed citations
4.
Nečaský, Martin, et al.. (2015). Data and Query Adaptation Using DaemonX. Computing and Informatics / Computers and Artificial Intelligence. 34(1). 99–137. 1 indexed citations
5.
Škoda, Petr, et al.. (2015). UnifiedViews: Towards ETL Tool for Simple yet Powerfull RDF Data Management ?. 111–120. 5 indexed citations
6.
Kučera, Jan, et al.. (2015). Methodologies and Best Practices for Open Data Publication.. 52–64. 19 indexed citations
7.
Klímek, Jakub, et al.. (2015). eXolutio: Methodology for Design and Evolution of XML Schemas Using Conceptual Modeling. Informatica. 26(3). 453–472. 5 indexed citations
8.
Klímek, Jakub, et al.. (2013). Using schematron as schema language in conceptual modeling for XML. 31–40. 3 indexed citations
9.
Nečaský, Martin, et al.. (2012). Utilizing new capabilities of XML languages to verify integrity constraints. Balisage series on markup technologies. 8. 2 indexed citations
10.
Klímek, Jakub, et al.. (2012). eXolutio : Tool for XML Schema and Data Management.. 69–80. 2 indexed citations
11.
Nečaský, Martin, et al.. (2012). Extracting Medical Information Using Linked Data.. 2 indexed citations
12.
Klímek, Jakub, et al.. (2011). XML Document Versioning and Revalidation. 49–60. 1 indexed citations
13.
Klímek, Jakub & Martin Nečaský. (2010). Reverse-engineering of XML Schemas: A Survey ?. 96–107. 3 indexed citations
14.
Nečaský, Martin & Irena Holubová. (2010). A Framework for Efficient Design, Maintaining, and Evolution of a System of XML Applications.. 38–49. 3 indexed citations
15.
Nečaský, Martin. (2009). Reverse engineering of XML schemas to conceptual diagrams. 117–128. 10 indexed citations
16.
Nečaský, Martin & Irena Holubová. (2009). Five-Level Multi-Application Schema Evolution ⋆. 90–104. 4 indexed citations
17.
Nečaský, Martin. (2008). Conceptual Model Based Normalization of XML Views.. 2 indexed citations
18.
Nečaský, Martin. (2008). Conceptual Modeling for XML. Digital Repository (National Repository of Grey Literature). 164–164. 15 indexed citations
19.
Nečaský, Martin. (2007). XSEM: a conceptual model for XML. 37–48. 15 indexed citations
20.
Nečaský, Martin. (2006). Conceptual Modeling for XML: A Survey.. 20 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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