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).
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.
Co-authorship network of co-authors of Ingo Pill
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Pill.
A scholar is included among the top collaborators of Ingo Pill 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 Ingo Pill. Ingo Pill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pill, Ingo & Franz Wotawa. (2018). On Using an I/O Model for Creating an Abductive Diagnosis Model via Combinatorial Exploration, Fault Injection, and Simulation.3 indexed citations
7.
Zanella, Marina, Ingo Pill, & Alessandro Cimatti. (2018). 28th International Workshop on Principles of Diagnosis (DX'17).17 indexed citations
Pill, Ingo, et al.. (2013). Behavioral diagnosis of LTL specifications at operator level. International Joint Conference on Artificial Intelligence. 1053–1059.18 indexed citations
12.
Pill, Ingo, et al.. (2013). The route to success: a performance comparison of diagnosis algorithms. International Joint Conference on Artificial Intelligence. 1039–1045.24 indexed citations
Pill, Ingo, et al.. (2006). Rat: A tool for formal analysis of requirements.1 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.