Benjamin Doerr

145 papers and 2.0k indexed citations i.

About

Benjamin Doerr is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Benjamin Doerr has authored 145 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Artificial Intelligence, 78 papers in Computational Theory and Mathematics and 24 papers in Computer Networks and Communications. Recurrent topics in Benjamin Doerr’s work include Metaheuristic Optimization Algorithms Research (79 papers), Evolutionary Algorithms and Applications (65 papers) and Advanced Multi-Objective Optimization Algorithms (60 papers). Benjamin Doerr is often cited by papers focused on Metaheuristic Optimization Algorithms Research (79 papers), Evolutionary Algorithms and Applications (65 papers) and Advanced Multi-Objective Optimization Algorithms (60 papers). Benjamin Doerr collaborates with scholars based in France, Germany and China. Benjamin Doerr's co-authors include Carola Doerr, Tobias Friedrich, Weijie Zheng, Frank Neumann, Mahmoud Fouz, Timo Kötzing, Denis Antipov, Maxim Buzdalov, Martin S. Krejca and Thomas Sauerwald and has published in prestigious journals such as Communications of the ACM, Mathematics of Computation and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Benjamin Doerr i

Fields of papers citing papers by Benjamin Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benjamin Doerr

Since Specialization
Citations

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