Martin Tappler

703 total citations
19 papers, 109 citations indexed

About

Martin Tappler is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics. According to data from OpenAlex, Martin Tappler has authored 19 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Software and 7 papers in Computational Theory and Mathematics. Recurrent topics in Martin Tappler's work include Software Testing and Debugging Techniques (9 papers), Machine Learning and Algorithms (8 papers) and Formal Methods in Verification (6 papers). Martin Tappler is often cited by papers focused on Software Testing and Debugging Techniques (9 papers), Machine Learning and Algorithms (8 papers) and Formal Methods in Verification (6 papers). Martin Tappler collaborates with scholars based in Austria, Switzerland and Denmark. Martin Tappler's co-authors include Bernhard K. Aichernig, Bettina Könighofer, Roderick Bloem, Ingo Pill, Martin Horn, Gernot Kubin, Stefan Mangard, Martin Steinberger, Carlo Alberto Boano and Kay Römer and has published in prestigious journals such as Software & Systems Modeling, Journal of Automated Reasoning and Formal Methods in System Design.

In The Last Decade

Martin Tappler

17 papers receiving 106 citations

Peers

Martin Tappler
Comparison fields: 5 of 30
  • Artificial Intelligence 59
  • Software 34
  • Control and Systems Engineering 25
  • Computer Networks and Communications 23
  • Computational Theory and Mathematics 16
Replace Daniel J. Fremont with:
Daniel J. Fremont United States
Bettina Könighofer Austria
Diego Manzanas Lopez United States
Rasmus Adler Germany
Nicolas Baskiotis France
Vitchyr H. Pong Germany
Jean‐Michel Ilié France
Jean Quilbeuf France
Pablo Sánchez Spain
Youssef Laarouchi France
Daniel J. Fremont United States View profile →
Citations per field, relative to Martin Tappler
Martin Tappler · 1×
Citations per year, relative to Martin Tappler
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Countries citing papers authored by Martin Tappler

Since Specialization
Citations

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

Fields of papers citing papers by Martin Tappler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Tappler

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 2
5 3
6 2
7 2
8 15
9 8
10 13
11 7
12 7
13 2
14 6
15 8
16 4
17 26
18 2
19
Learning Models of a Network Protocol using Neural Network Language Models
1

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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