Daniel Mack

11 papers and 286 indexed citations i.

About

Daniel Mack is a scholar working on Artificial Intelligence, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel Mack has authored 11 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel Mack’s work include Optimization and Packing Problems (4 papers), Fault Detection and Control Systems (4 papers) and AI-based Problem Solving and Planning (3 papers). Daniel Mack is often cited by papers focused on Optimization and Packing Problems (4 papers), Fault Detection and Control Systems (4 papers) and AI-based Problem Solving and Planning (3 papers). Daniel Mack collaborates with scholars based in United States, Germany and Luxembourg. Daniel Mack's co-authors include Andreas Bortfeldt, Hermann Gehring, Gautam Biswas, Xenofon Koutsoukos, John S. Kinnebrew, Raj Bharadwaj and Hamed Khorasgani and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Automation Science and Engineering and Parallel Computing.

In The Last Decade

Co-authorship network of co-authors of Daniel Mack i

Fields of papers citing papers by Daniel Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Mack

Since Specialization
Citations

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