G. Lausen

About

G. Lausen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, G. Lausen has authored 5 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in G. Lausen’s work include Cryptography and Data Security (1 paper), Advanced Graph Neural Networks (1 paper) and Access Control and Trust (1 paper). G. Lausen is often cited by papers focused on Cryptography and Data Security (1 paper), Advanced Graph Neural Networks (1 paper) and Access Control and Trust (1 paper). G. Lausen collaborates with scholars based in Germany and Iran. G. Lausen's co-authors include Cai-Nicolas Ziegler and Pedro José Marrón and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computing and Intelligent Data Analysis.

In The Last Decade

Co-authorship network of co-authors of G. Lausen i

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Fields of papers citing papers by G. Lausen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Lausen

Since Specialization

Citations

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