Joseph B. Lang

49 total papers · 1.4k total citations
38 papers, 969 citations indexed

About

Joseph B. Lang is a scholar working on Statistics and Probability, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Joseph B. Lang has authored 38 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Joseph B. Lang's work include Statistical Methods and Bayesian Inference (22 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods in Clinical Trials (8 papers). Joseph B. Lang is often cited by papers focused on Statistical Methods and Bayesian Inference (22 papers), Advanced Statistical Methods and Models (9 papers) and Statistical Methods in Clinical Trials (8 papers). Joseph B. Lang collaborates with scholars based in United States, Brazil and Italy. Joseph B. Lang's co-authors include Alan Agresti, Karen Heimer, Thomas D. Stucky, Marvin Harris, Bryan Byrne, John W. McDonald, Peter Smith, Scott R. Eliason, Timothy J. Barrett and Maria Iannario and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Social Forces.

In The Last Decade

Joseph B. Lang

37 papers receiving 895 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph B. Lang 507 223 163 115 88 38 969
Robert H. Somers 160 0.3× 148 0.7× 79 0.5× 103 0.9× 67 0.8× 31 911
Katherine K. Wallman 427 0.8× 85 0.4× 100 0.6× 97 0.8× 51 0.6× 17 880
Ivy Liu 244 0.5× 58 0.3× 135 0.8× 68 0.6× 91 1.0× 51 835
Tore Dalenius 323 0.6× 138 0.6× 268 1.6× 118 1.0× 95 1.1× 38 908
Dennis L. Clason 165 0.3× 300 1.3× 54 0.3× 57 0.5× 60 0.7× 30 1.2k
Reinhold Hatzinger 188 0.4× 88 0.4× 86 0.5× 175 1.5× 133 1.5× 38 929
Raymond L. Chambers 697 1.4× 127 0.6× 168 1.0× 208 1.8× 193 2.2× 52 1.1k
Kevin M. Quinn 280 0.6× 208 0.9× 162 1.0× 63 0.5× 206 2.3× 27 1.1k
James C. Lingoes 119 0.2× 179 0.8× 83 0.5× 72 0.6× 52 0.6× 25 1.1k
Shizuhiko Nishisato 279 0.6× 58 0.3× 150 0.9× 101 0.9× 58 0.7× 45 1.2k

Countries citing papers authored by Joseph B. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Joseph B. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Lang. 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 Joseph B. Lang. The network helps show where Joseph B. Lang may publish in the future.

Co-authorship network of co-authors of Joseph B. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph B. Lang. A scholar is included among the top collaborators of Joseph B. Lang 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 Joseph B. Lang. Joseph B. Lang 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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