Christian Buchta

105 total papers · 2.4k total citations
49 papers, 1.4k citations indexed

About

Christian Buchta is a scholar working on Applied Mathematics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Christian Buchta has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Applied Mathematics, 13 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Christian Buchta's work include Point processes and geometric inequalities (17 papers), Data Management and Algorithms (11 papers) and Data Mining Algorithms and Applications (7 papers). Christian Buchta is often cited by papers focused on Point processes and geometric inequalities (17 papers), Data Management and Algorithms (11 papers) and Data Mining Algorithms and Applications (7 papers). Christian Buchta collaborates with scholars based in Austria, United States and Germany. Christian Buchta's co-authors include Kurt Hornik, Michael Hahsler, Achim Zeileis, Ingo Feinerer, Patrick Mair, Matthias Reitzner, Imre Bárány, Harald Hruschka, Sara Dolničar and Johannes Rauch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Statistical Software and Journal of Machine Learning Research.

In The Last Decade

Christian Buchta

47 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Christian Buchta 327 233 188 183 147 49 1.4k
Allan R. Wilks 171 0.5× 37 0.2× 76 0.4× 100 0.5× 51 0.3× 26 1.2k
Francis Edward Su 321 1.0× 78 0.3× 55 0.3× 25 0.1× 27 0.2× 42 1.5k
Elena Deza 396 1.2× 50 0.2× 146 0.8× 30 0.2× 95 0.6× 20 1.4k
Nan Du 671 2.1× 132 0.6× 368 2.0× 67 0.4× 341 2.3× 89 1.6k
Malcolm J. Sherman 205 0.6× 59 0.3× 149 0.8× 52 0.3× 50 0.3× 21 1.7k
David J. Marchette 611 1.9× 36 0.2× 98 0.5× 21 0.1× 121 0.8× 72 1.3k
Deborah F. Swayne 531 1.6× 13 0.1× 79 0.4× 68 0.4× 98 0.7× 31 1.4k
Gilbert Saporta 249 0.8× 29 0.1× 90 0.5× 48 0.3× 70 0.5× 58 1.5k
Walter D. Fisher 199 0.6× 24 0.1× 27 0.1× 103 0.6× 55 0.4× 26 1.3k
Tony Greenfield 222 0.7× 14 0.1× 75 0.4× 52 0.3× 50 0.3× 27 1.5k

Countries citing papers authored by Christian Buchta

Since Specialization
Citations

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

Fields of papers citing papers by Christian Buchta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Buchta

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Buchta. A scholar is included among the top collaborators of Christian Buchta 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 Christian Buchta. Christian Buchta 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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2026