Magdalena Kaufmann

30 total papers · 530 total citations
11 papers, 227 citations indexed

About

Magdalena Kaufmann is a scholar working on Language and Linguistics, Philosophy and Artificial Intelligence. According to data from OpenAlex, Magdalena Kaufmann has authored 11 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Language and Linguistics, 6 papers in Philosophy and 2 papers in Artificial Intelligence. Recurrent topics in Magdalena Kaufmann's work include Syntax, Semantics, Linguistic Variation (7 papers), Language, Discourse, Communication Strategies (4 papers) and Linguistics and Discourse Analysis (4 papers). Magdalena Kaufmann is often cited by papers focused on Syntax, Semantics, Linguistic Variation (7 papers), Language, Discourse, Communication Strategies (4 papers) and Linguistics and Discourse Analysis (4 papers). Magdalena Kaufmann collaborates with scholars based in United States and Germany. Magdalena Kaufmann's co-authors include Stefan Kaufmann and Fabrizio Cariani and has published in prestigious journals such as Language, Linguistics and Philosophy and Natural Language Semantics.

In The Last Decade

Magdalena Kaufmann

9 papers receiving 192 citations

Author Peers

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

Author Last Decade Papers Cites
Magdalena Kaufmann 149 91 81 78 24 11 227
Christopher Piñón 179 1.2× 103 1.1× 63 0.8× 72 0.9× 15 0.6× 17 237
Patrick Georg Grosz 163 1.1× 81 0.9× 44 0.5× 87 1.1× 30 1.3× 23 226
Corien Bary 165 1.1× 103 1.1× 66 0.8× 62 0.8× 19 0.8× 19 225
Urs Egli 112 0.8× 97 1.1× 41 0.5× 67 0.9× 16 0.7× 9 196
Hazel Pearson 130 0.9× 54 0.6× 67 0.8× 87 1.1× 17 0.7× 14 218
Eric McCready 170 1.1× 85 0.9× 65 0.8× 87 1.1× 10 0.4× 25 233
Nathan Klinedinst 98 0.7× 80 0.9× 63 0.8× 55 0.7× 13 0.5× 6 167
Marcin Morzycki 237 1.6× 113 1.2× 55 0.7× 76 1.0× 16 0.7× 18 287
Yaron McNabb 94 0.6× 48 0.5× 28 0.3× 54 0.7× 32 1.3× 11 157
Ewald Lang 161 1.1× 89 1.0× 39 0.5× 85 1.1× 6 0.3× 23 239

Countries citing papers authored by Magdalena Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Kaufmann

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Kaufmann. A scholar is included among the top collaborators of Magdalena 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 Magdalena Kaufmann. Magdalena 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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