Siegfried Gabler

111 total papers · 1.2k total citations
56 papers, 572 citations indexed

About

Siegfried Gabler is a scholar working on Statistics and Probability, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Siegfried Gabler has authored 56 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 12 papers in Management Science and Operations Research and 11 papers in Sociology and Political Science. Recurrent topics in Siegfried Gabler's work include Survey Methodology and Nonresponse (9 papers), Optimal Experimental Design Methods (8 papers) and Survey Sampling and Estimation Techniques (7 papers). Siegfried Gabler is often cited by papers focused on Survey Methodology and Nonresponse (9 papers), Optimal Experimental Design Methods (8 papers) and Survey Sampling and Estimation Techniques (7 papers). Siegfried Gabler collaborates with scholars based in Germany, United States and Switzerland. Siegfried Gabler's co-authors include Jürgen H. P. Hoffmeyer-Zlotnik, Sabine Häder, François Laisney, Michael Lechner, Tenko Raykov, Eckart Voland, Dimiter M. Dimitrov, Seppo Laaksonen, Peter Lynn and Dagmar Krebs and has published in prestigious journals such as Biometrika, The Annals of Statistics and Journal of Business and Economic Statistics.

In The Last Decade

Siegfried Gabler

50 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Siegfried Gabler 137 136 99 61 60 56 572
H.S. Steyn 74 0.5× 113 0.8× 48 0.5× 50 0.8× 28 0.5× 42 673
Miron L. Straf 78 0.6× 190 1.4× 67 0.7× 110 1.8× 42 0.7× 19 629
Michael E. Stuart 70 0.5× 119 0.9× 58 0.6× 124 2.0× 33 0.6× 21 603
Cristobal Young 64 0.5× 225 1.7× 225 2.3× 48 0.8× 28 0.5× 23 599
Bruce Bloxom 75 0.5× 65 0.5× 35 0.4× 29 0.5× 69 1.1× 25 574
Lawrence C. Marsh 51 0.4× 74 0.5× 137 1.4× 36 0.6× 72 1.2× 26 546
Wil Dijkstra 55 0.4× 325 2.4× 42 0.4× 67 1.1× 28 0.5× 36 574
Antony Fielding 62 0.5× 115 0.8× 53 0.5× 43 0.7× 30 0.5× 25 545
William S. Reece 127 0.9× 252 1.9× 240 2.4× 45 0.7× 24 0.4× 26 594
John C. Callender 114 0.8× 119 0.9× 69 0.7× 24 0.4× 157 2.6× 20 639

Countries citing papers authored by Siegfried Gabler

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Gabler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Gabler

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