Martin Nečaský
- Software top 10%
- Model-Driven Software Engineering Techniques 6
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 59
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- Advanced Database Systems and Queries 43
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 27
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- Data Quality and Management 13
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- Business Process Modeling and Analysis 7
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- Data Management and Algorithms 7
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- Biomedical Text Mining and Ontologies 4
Martin Nečaský
64 papers receiving 359 citations
Peers
Comparison fields: 5 of 45
- Software 42
- Artificial Intelligence 290
- Computer Networks and Communications 205
- Information Systems 199
- Management Science and Operations Research 77
Countries citing papers authored by Martin Nečaský
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
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
The 17 scholars most cited alongside Martin Nečaský, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2017 | 8 | |
| 3 | Requirements on Linked Data Consumption Platform. | 2016 | 4 |
| 4 | Data and Query Adaptation Using DaemonX | 2015 | 1 |
| 5 | UnifiedViews: Towards ETL Tool for Simple yet Powerfull RDF Data Management ? | 2015 | 5 |
| 6 | Methodologies and Best Practices for Open Data Publication. | 2015 | 19 |
| 7 | 2015 | 5 | |
| 8 | Using schematron as schema language in conceptual modeling for XML | 2013 | 3 |
| 9 | 2012 | 2 | |
| 10 | eXolutio : Tool for XML Schema and Data Management. | 2012 | 2 |
| 11 | Extracting Medical Information Using Linked Data. | 2012 | 2 |
| 12 | XML Document Versioning and Revalidation | 2011 | 1 |
| 13 | Reverse-engineering of XML Schemas: A Survey ? | 2010 | 3 |
| 14 | A Framework for Efficient Design, Maintaining, and Evolution of a System of XML Applications. | 2010 | 3 |
| 15 | Reverse engineering of XML schemas to conceptual diagrams | 2009 | 10 |
| 16 | Five-Level Multi-Application Schema Evolution ⋆ | 2009 | 4 |
| 17 | Conceptual Model Based Normalization of XML Views. | 2008 | 2 |
| 18 | Conceptual Modeling for XML | 2008 | 15 |
| 19 | XSEM: a conceptual model for XML | 2007 | 15 |
| 20 | Conceptual Modeling for XML: A Survey. | 2006 | 20 |
About Martin Nečaský
Martin Nečaský is a scholar working on Artificial Intelligence, Computer Networks and Communications and Software, having authored 67 papers that have together received 392 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (59 papers), Advanced Database Systems and Queries (43 papers), Service-Oriented Architecture and Web Services (27 papers), Data Quality and Management (13 papers), Business Process Modeling and Analysis (7 papers), Data Management and Algorithms (7 papers), Model-Driven Software Engineering Techniques (6 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Software (42 citations), Artificial Intelligence (290 citations) and Computer Networks and Communications (205 citations). Martin Nečaský has collaborated with scholars based in Czechia, Australia and Croatia. Frequent co-authors include Jakub Klímek, Irena Holubová, Petr Škoda, Jan Kučera, Sören Auer, Roberto Garcı́a, Tomáš Skopal, Jan Michelfeit, Jaroslav Pokorný and Vojtěch Svátek. Their work appears in journals such as ACM Computing Surveys, Computers in Industry and Journal of Systems and Software.
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.