Richard H. Wolniewicz

839 total citations
9 papers, 562 citations indexed

About

Richard H. Wolniewicz is a scholar working on Marketing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Richard H. Wolniewicz has authored 9 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Marketing, 6 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Richard H. Wolniewicz's work include Customer churn and segmentation (7 papers), Data Mining Algorithms and Applications (5 papers) and Consumer Market Behavior and Pricing (3 papers). Richard H. Wolniewicz is often cited by papers focused on Customer churn and segmentation (7 papers), Data Mining Algorithms and Applications (5 papers) and Consumer Market Behavior and Pricing (3 papers). Richard H. Wolniewicz collaborates with scholars based in United States. Richard H. Wolniewicz's co-authors include Michael C. Mozer, Lian Yan, Robert H. Dodier, Eric Johnson, David B. Grimes, Goetz Graefe, William J. McKenna, Richard L. Cole, David J. Miller and Michael Colagrosso and has published in prestigious journals such as IEEE Intelligent Systems, IEEE Potentials and IEEE Transactions on Neural Networks.

In The Last Decade

Richard H. Wolniewicz

9 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard H. Wolniewicz United States 8 299 207 184 133 75 9 562
Kurt Thearling United States 8 169 0.6× 147 0.7× 202 1.1× 92 0.7× 69 0.9× 10 502
E. Sivasankar India 12 104 0.3× 201 1.0× 102 0.6× 50 0.4× 34 0.5× 41 416
Rajesh Parekh United States 13 82 0.3× 324 1.6× 146 0.8× 17 0.1× 49 0.7× 34 604
Brij Masand United States 11 105 0.4× 365 1.8× 330 1.8× 31 0.2× 43 0.6× 22 595
Bharat Bhasker India 10 39 0.1× 191 0.9× 240 1.3× 8 0.1× 68 0.9× 40 464
Srikumar Krishnamoorthy India 9 68 0.2× 354 1.7× 461 2.5× 9 0.1× 57 0.8× 26 640
Ding-An Chiang Taiwan 11 40 0.1× 213 1.0× 134 0.7× 24 0.2× 53 0.7× 29 465
Wan Shiou Yang Taiwan 9 41 0.1× 102 0.5× 258 1.4× 7 0.1× 92 1.2× 15 446
Siva Gurumurthy United States 7 31 0.1× 227 1.1× 213 1.2× 12 0.1× 115 1.5× 9 629
Nitish Korula United States 10 52 0.2× 258 1.2× 93 0.5× 8 0.1× 133 1.8× 26 491

Countries citing papers authored by Richard H. Wolniewicz

Since Specialization
Citations

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

Fields of papers citing papers by Richard H. Wolniewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard H. Wolniewicz. 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 Richard H. Wolniewicz. The network helps show where Richard H. Wolniewicz may publish in the future.

Co-authorship network of co-authors of Richard H. Wolniewicz

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

All Works

9 of 9 papers shown
1.
Yan, Lian, Richard H. Wolniewicz, & Robert H. Dodier. (2004). Predicting customer behavior in telecommunications. IEEE Intelligent Systems. 19(2). 50–58. 52 indexed citations
2.
Yan, Lian, Richard H. Wolniewicz, & Robert H. Dodier. (2004). Customer behavior prediction - it's all in the timing. IEEE Potentials. 23(4). 20–25. 5 indexed citations
3.
Yan, Lian, Robert H. Dodier, Michael C. Mozer, & Richard H. Wolniewicz. (2003). Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic. International Conference on Machine Learning. 848–855. 131 indexed citations
4.
Yan, Lian, David J. Miller, Michael C. Mozer, & Richard H. Wolniewicz. (2002). Improving prediction of customer behavior in nonstationary environments. 3. 2258–2263. 25 indexed citations
5.
Mozer, Michael C., et al.. (2001). Prodding the ROC Curve: Constrained Optimization of Classifier Performance. neural information processing systems. 14. 1409–1415. 27 indexed citations
6.
Mozer, Michael C., et al.. (2000). Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry. IEEE Transactions on Neural Networks. 11(3). 690–696. 243 indexed citations
7.
Mozer, Michael C., et al.. (1999). Churn Reduction in the Wireless Industry. Neural Information Processing Systems. 12. 935–941. 28 indexed citations
8.
Wolniewicz, Richard H. & Goetz Graefe. (1993). Algebraic Optimization of Computations over Scientific Databases. Very Large Data Bases. 16. 13–24. 23 indexed citations
9.
Graefe, Goetz, et al.. (1991). Extensible Query Optimization and Parallel Execution in Volcano.. 305–335. 28 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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