Ingo Pill

About

Ingo Pill is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Ingo Pill has authored 23 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Software, 12 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Ingo Pill’s work include Software Testing and Debugging Techniques (14 papers), Formal Methods in Verification (11 papers) and AI-based Problem Solving and Planning (8 papers). Ingo Pill is often cited by papers focused on Software Testing and Debugging Techniques (14 papers), Formal Methods in Verification (11 papers) and AI-based Problem Solving and Planning (8 papers). Ingo Pill collaborates with scholars based in Austria, Germany and Italy. Ingo Pill's co-authors include Franz Wotawa, Roderick Bloem, Alessandro Cimatti, Moonis Ali, Alexander Feldman, Mihai Nica, Gerald Steinbauer, Marco Roveri, Ion Matei and Johan de Kleer and has published in prestigious journals such as Lecture notes in computer science, Journal of Systems and Software and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Ingo Pill i

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Fields of papers citing papers by Ingo Pill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ingo Pill

Since Specialization

Citations

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