Martina Seidl

42 papers and 313 indexed citations i.

About

Martina Seidl is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Martina Seidl has authored 42 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 24 papers in Software and 22 papers in Computational Theory and Mathematics. Recurrent topics in Martina Seidl’s work include Formal Methods in Verification (22 papers), Software Testing and Debugging Techniques (14 papers) and Model-Driven Software Engineering Techniques (12 papers). Martina Seidl is often cited by papers focused on Formal Methods in Verification (22 papers), Software Testing and Debugging Techniques (14 papers) and Model-Driven Software Engineering Techniques (12 papers). Martina Seidl collaborates with scholars based in Austria, United States and Germany. Martina Seidl's co-authors include Manuel Wimmer, Armin Biere, Marijn J. H. Heule, Robert Könighofer, Gerti Kappel, Philip Langer, Konrad Wieland, Florian Lonsing, Luca Pulina and Stefan Woltran and has published in prestigious journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Martina Seidl i

Fields of papers citing papers by Martina Seidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martina Seidl

Since Specialization
Citations

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

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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