Cornelia Ursula Kunz

52 total papers · 749 total citations
31 papers, 560 citations indexed

About

Cornelia Ursula Kunz is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Cornelia Ursula Kunz has authored 31 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 12 papers in Economics and Econometrics and 10 papers in Management Science and Operations Research. Recurrent topics in Cornelia Ursula Kunz's work include Statistical Methods in Clinical Trials (18 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Optimal Experimental Design Methods (10 papers). Cornelia Ursula Kunz is often cited by papers focused on Statistical Methods in Clinical Trials (18 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Optimal Experimental Design Methods (10 papers). Cornelia Ursula Kunz collaborates with scholars based in Germany, United Kingdom and United States. Cornelia Ursula Kunz's co-authors include Frank Peters-Klimm, Tobias Freund, Joachim Szécsényi, Stephen Campbell, Thomas Müller‐Tasch, J Szecsenyi, Cornelia Mahler, Meinhard Kieser, Dominik Ose and Gunter Laux and has published in prestigious journals such as Statistics in Medicine, Journal of Statistical Software and BMC Health Services Research.

In The Last Decade

Cornelia Ursula Kunz

30 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Cornelia Ursula Kunz	191	173	137	115	108	31	560
Ania Zylbersztejn	177 0.9×	141 0.8×	72 0.5×	53 0.5×	19 0.2×	38	673
Ian Blunt	220 1.2×	303 1.8×	202 1.5×	107 0.9×	42 0.4×	15	639
John Queenan	137 0.7×	126 0.7×	123 0.9×	48 0.4×	11 0.1×	44	650
Samuel L. Brilleman	214 1.1×	136 0.8×	132 1.0×	43 0.4×	41 0.4×	21	517
Dandan Liu	98 0.5×	55 0.3×	51 0.4×	108 0.9×	93 0.9×	36	497
Maarten J. Bijlsma	141 0.7×	76 0.4×	53 0.4×	49 0.4×	37 0.3×	52	512
Suneela Mehta	112 0.6×	92 0.5×	90 0.7×	289 2.5×	11 0.1×	39	605
Eric Tousset	63 0.3×	46 0.3×	38 0.3×	70 0.6×	36 0.3×	25	546
Nazleen F. Khan	29 0.2×	59 0.3×	132 1.0×	57 0.5×	68 0.6×	18	521
Steve Gallivan	230 1.2×	89 0.5×	121 0.9×	65 0.6×	18 0.2×	41	675

Countries citing papers authored by Cornelia Ursula Kunz

Since Specialization

Citations

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

Fields of papers citing papers by Cornelia Ursula Kunz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelia Ursula Kunz. 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 Cornelia Ursula Kunz. The network helps show where Cornelia Ursula Kunz may publish in the future.

Co-authorship network of co-authors of Cornelia Ursula Kunz

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Ursula Kunz. A scholar is included among the top collaborators of Cornelia Ursula Kunz 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 Cornelia Ursula Kunz. Cornelia Ursula Kunz 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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