Mario Lenz

5 papers and 51 indexed citations i.

About

Mario Lenz is a scholar working on Artificial Intelligence, Strategy and Management and Signal Processing. According to data from OpenAlex, Mario Lenz has authored 5 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Strategy and Management and 1 paper in Signal Processing. Recurrent topics in Mario Lenz’s work include AI-based Problem Solving and Planning (1 paper), Digital Innovation in Industries (1 paper) and Data Management and Algorithms (1 paper). Mario Lenz is often cited by papers focused on AI-based Problem Solving and Planning (1 paper), Digital Innovation in Industries (1 paper) and Data Management and Algorithms (1 paper). Mario Lenz collaborates with scholars based in Germany. Mario Lenz's co-authors include Hans-Dieter Burkhard, Stefan Weß, Brigitte Bartsch-Spörl and Michel Manago and has published in prestigious journals such as Lecture notes in computer science, AI Magazine and AI Communications.

In The Last Decade

Co-authorship network of co-authors of Mario Lenz i

Fields of papers citing papers by Mario Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Lenz

Since Specialization
Citations

This map shows the geographic impact of Mario Lenz'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 Mario Lenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Lenz 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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2025