Computational Statistics & Data Analysis

6.1k papers and 137.7k indexed citations
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About

The 6.1k papers published in Computational Statistics & Data Analysis in the last decades have received a total of 137.7k indexed citations. Papers published in Computational Statistics & Data Analysis usually cover Statistics and Probability (4.0k papers), Artificial Intelligence (1.8k papers) and Management Science and Operations Research (873 papers) specifically the topics of Statistical Methods and Inference (2.0k papers), Statistical Methods and Bayesian Inference (1.6k papers) and Advanced Statistical Methods and Models (1.5k papers). The most active scholars publishing in Computational Statistics & Data Analysis are Jerome H. Friedman, Walter Krämer, Vincenzo Esposito Vinzi, Michel Tenenhaus, Carlo di Lauro, Clemens Tilke, Debasis Kundu, Damien Garcia, N. Balakrishnan and Uwe Ligges.

In The Last Decade

Computational Statistics & Data Analysis

5.7k papers receiving 124.2k citations

Fields of papers published in Computational Statistics & Data Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Statistics & Data Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Statistics & Data Analysis.

Countries where authors publish in Computational Statistics & Data Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Statistics & Data Analysis. 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 papers published in Computational Statistics & Data Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Statistics & Data Analysis more than expected).

Stochastic gradient boosting 1997 2026 2006 2016 4.3k
  1. Stochastic gradient boosting (2002)
  2. PLS path modeling (2004)
  3. Review of Modern applied statistics with S, 4th ed. by W.N. Venables and B.D. Ripley. Springer-Verlag 2002 (2003)
  4. An Introduction to Categorical Data Analysis (1997)
  5. A general class of zero-or-one inflated beta regression models (2011)
  6. PARAFAC: Parallel factor analysis (1994)

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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