David Mease

998 total citations
15 papers, 652 citations indexed

About

David Mease is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Information Systems. According to data from OpenAlex, David Mease has authored 15 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics, Probability and Uncertainty and 3 papers in Information Systems. Recurrent topics in David Mease's work include Probabilistic and Robust Engineering Design (3 papers), Information Retrieval and Search Behavior (3 papers) and Imbalanced Data Classification Techniques (3 papers). David Mease is often cited by papers focused on Probabilistic and Robust Engineering Design (3 papers), Information Retrieval and Search Behavior (3 papers) and Imbalanced Data Classification Techniques (3 papers). David Mease collaborates with scholars based in United States. David Mease's co-authors include Abraham J. Wyner, Andreas Buja, Vijayan N. Nair, Matthew Olson, Justin Bleich, Agus Sudjianto, Miriam L. Matteson, Neema Moraveji, Daniel M. Russell and Jacob Bien and has published in prestigious journals such as Technometrics, Journal of Machine Learning Research and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

David Mease

15 papers receiving 623 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Mease United States 9 298 100 83 76 60 15 652
Anil Jadhav India 8 176 0.6× 151 1.5× 27 0.3× 30 0.4× 48 0.8× 25 691
Javier Sánchez‐Monedero Spain 15 450 1.5× 113 1.1× 154 1.9× 27 0.4× 24 0.4× 35 892
Arie Ben‐David Israel 14 522 1.8× 192 1.9× 95 1.1× 50 0.7× 66 1.1× 28 1.1k
Armin Shmilovici Israel 11 133 0.4× 43 0.4× 51 0.6× 63 0.8× 29 0.5× 38 546
Sławomir T. Wierzchoń Poland 15 256 0.9× 60 0.6× 71 0.9× 19 0.3× 51 0.8× 44 597
Mohamed Abdel-Basset Egypt 9 245 0.8× 62 0.6× 61 0.7× 29 0.4× 44 0.7× 30 678
Lixin Cui China 16 355 1.2× 82 0.8× 141 1.7× 16 0.2× 18 0.3× 50 666
Waterman United States 3 357 1.2× 141 1.4× 27 0.3× 77 1.0× 26 0.4× 8 902
Xin An China 11 179 0.6× 44 0.4× 73 0.9× 20 0.3× 13 0.2× 34 644
Alptekin Durmuşoğlu Türkiye 13 157 0.5× 24 0.2× 60 0.7× 99 1.3× 41 0.7× 46 582

Countries citing papers authored by David Mease

Since Specialization
Citations

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

Fields of papers citing papers by David Mease

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mease

This figure shows the co-authorship network connecting the top 25 collaborators of David Mease. A scholar is included among the top collaborators of David Mease 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 David Mease. David Mease is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Wyner, Abraham J., Matthew Olson, Justin Bleich, & David Mease. (2017). Explaining the success of adaboost and random forests as interpolating classifiers. Journal of Machine Learning Research. 18(1). 1558–1590. 137 indexed citations
2.
Matteson, Miriam L., et al.. (2014). In Their Own Words: Stories of Emotional Labor from the Library Workforce. The Library Quarterly. 85(1). 85–105. 20 indexed citations
3.
Chouldechova, Alexandra & David Mease. (2013). Differences in search engine evaluations between query owners and non-owners. 103–112. 7 indexed citations
4.
Ma, Li, David Mease, & Daphne Russell. (2011). A Four Group Cross-Over Design for Measuring Irreversible Treatments on Web Search Tasks. 1–9. 1 indexed citations
5.
Moraveji, Neema, Daniel M. Russell, Jacob Bien, & David Mease. (2011). Measuring improvement in user search performance resulting from optimal search tips. 355–364. 27 indexed citations
6.
Mease, David, et al.. (2009). Evaluating web search using task completion time. 676–677. 27 indexed citations
7.
Mease, David & Abraham J. Wyner. (2008). Evidence Contrary to the Statistical View of Boosting. Journal of Machine Learning Research. 9(6). 131–156. 92 indexed citations
8.
Mease, David & Abraham J. Wyner. (2008). Evidence Contrary to the Statistical View of Boosting: A Rejoinder to Responses. 6 indexed citations
9.
Mease, David, Abraham J. Wyner, & Andreas Buja. (2007). Boosted Classification Trees and Class Probability/Quantile Estimation. Journal of Machine Learning Research. 8(16). 409–439. 187 indexed citations
10.
Mease, David & Vijayan N. Nair. (2006). Unique Optimal Partitions of Distributions and Connections to Hazard Rates and Stochastic Ordering. Statistica Sinica. 16(4). 1299–1312. 14 indexed citations
11.
Mease, David & Vijayan N. Nair. (2006). Extreme (X-)Testing With Binary Data and Applications to Reliability Demonstration. Technometrics. 48(3). 399–410. 7 indexed citations
12.
Mease, David. (2004). Discussion. The American Statistician. 58(3). 192–194. 1 indexed citations
13.
Mease, David, Vijayan N. Nair, & Agus Sudjianto. (2004). Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies. Technometrics. 46(2). 165–175. 81 indexed citations
14.
Mease, David. (2003). A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins. The American Statistician. 57(4). 241–248. 42 indexed citations
15.
Mease, David & Vijay Nair. (2003). Variance Reduction Techniques for Reliability Estimation Using CAE Models. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations

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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