Paul Kaufmann

55 total papers · 1.6k total citations
32 papers, 1.0k citations indexed

About

Paul Kaufmann is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Paul Kaufmann has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Molecular Biology. Recurrent topics in Paul Kaufmann's work include Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Paul Kaufmann is often cited by papers focused on Evolutionary Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Paul Kaufmann collaborates with scholars based in Germany, Norway and United States. Paul Kaufmann's co-authors include Michael Westerveld, Karen Postal, David E. Tupper, Michelle Braun, Karen Wills, Michael McCrea, Marco Platzner, Martin Braun, Kyrre Glette and Timothy Atkinson and has published in prestigious journals such as Renewable Energy, IEEE Transactions on Evolutionary Computation and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Paul Kaufmann

29 papers receiving 997 citations

Hit Papers

Neuropsychological Assess... 2011 2026 2016 2021 2011 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul Kaufmann 313 308 145 142 128 32 1.0k
Matthew Lee 199 0.6× 511 1.7× 74 0.5× 84 0.6× 194 1.5× 38 1.1k
Benjamin Wagner 108 0.3× 142 0.5× 187 1.3× 53 0.4× 70 0.5× 55 1.1k
Alberto García‐Molina 229 0.7× 322 1.0× 178 1.2× 99 0.7× 26 0.2× 101 996
Matteo Signorini 283 0.9× 322 1.0× 40 0.3× 69 0.5× 82 0.6× 36 1.0k
Prabitha Urwyler 220 0.7× 236 0.8× 34 0.2× 76 0.5× 30 0.2× 51 1.0k
Mingguo Qiu 217 0.7× 580 1.9× 145 1.0× 79 0.6× 49 0.4× 54 1.2k
D. Rangaprakash 144 0.5× 763 2.5× 92 0.6× 166 1.2× 70 0.5× 54 1.1k
Bashar Hasan 89 0.3× 219 0.7× 118 0.8× 49 0.3× 66 0.5× 77 1.2k
Bin Jing 194 0.6× 575 1.9× 42 0.3× 131 0.9× 40 0.3× 66 1.1k
Marco Cavallo 318 1.0× 251 0.8× 30 0.2× 72 0.5× 32 0.3× 59 1.1k

Countries citing papers authored by Paul Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Kaufmann

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kaufmann. A scholar is included among the top collaborators of Paul Kaufmann 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 Paul Kaufmann. Paul Kaufmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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