Y. P. Mack

1.7k total citations
22 papers, 1.1k citations indexed

About

Y. P. Mack is a scholar working on Statistics and Probability, Artificial Intelligence and Surgery. According to data from OpenAlex, Y. P. Mack has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 5 papers in Surgery. Recurrent topics in Y. P. Mack's work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Y. P. Mack is often cited by papers focused on Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Y. P. Mack collaborates with scholars based in United States, United Kingdom and Germany. Y. P. Mack's co-authors include Bernard W. Silverman, M. Rosenblatt, Wesley C. Fowler, Leslie A. Walton, Gustavo S. Montana, Mahesh A. Varia, S. H. Lo, Lynn Shemanski, Jiancheng Jiang and Pham Xuan Quang and has published in prestigious journals such as Neurology, Cancer and Biometrics.

In The Last Decade

Y. P. Mack

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Y. P. Mack United States 14 688 274 171 148 96 22 1.1k
I. R. Dunsmore United Kingdom 19 738 1.1× 212 0.8× 52 0.3× 185 1.3× 421 4.4× 48 1.5k
Zhenzhen Lu China 12 416 0.6× 179 0.7× 24 0.1× 16 0.1× 69 0.7× 29 1.1k
Sara A. van de Geer Netherlands 11 766 1.1× 393 1.4× 9 0.1× 33 0.2× 66 0.7× 20 2.0k
Éric Matzner-Løber France 12 132 0.2× 193 0.7× 47 0.3× 64 0.4× 29 0.3× 31 769
Guido Masarotto Italy 17 331 0.5× 84 0.3× 11 0.1× 113 0.8× 348 3.6× 37 1.0k
Anna Maria Paganoni Italy 22 259 0.4× 228 0.8× 14 0.1× 179 1.2× 48 0.5× 108 1.4k
Hosik Choi South Korea 12 221 0.3× 149 0.5× 20 0.1× 112 0.8× 21 0.2× 44 758
Donglin Zeng United States 20 910 1.3× 233 0.9× 18 0.1× 35 0.2× 43 0.4× 56 1.6k
J. Sunil Rao United States 20 474 0.7× 335 1.2× 8 0.0× 222 1.5× 36 0.4× 77 1.9k
M. C. K. Tweedie United Kingdom 14 362 0.5× 186 0.7× 6 0.0× 94 0.6× 158 1.6× 31 1.1k

Countries citing papers authored by Y. P. Mack

Since Specialization
Citations

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

Fields of papers citing papers by Y. P. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. P. Mack. 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 Y. P. Mack. The network helps show where Y. P. Mack may publish in the future.

Co-authorship network of co-authors of Y. P. Mack

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

All Works

20 of 20 papers shown
1.
Mack, Y. P.. (2002). BIAS-CORRECTED CONFIDENCE INTERVALS FOR WILDLIFE ABUNDANCE ESTIMATION. Communication in Statistics- Theory and Methods. 31(7). 1107–1122. 4 indexed citations
2.
Jiang, Jiancheng & Y. P. Mack. (2001). ROBUST LOCAL POLYNOMIAL REGRESSION FOR DEPENDENT DATA. 37 indexed citations
3.
Mack, Y. P.. (1998). Testing for the shoulder condition in transect sampling. Communication in Statistics- Theory and Methods. 27(2). 423–432. 6 indexed citations
4.
Mack, Y. P., James T. Parsons, William M. Mendenhall, et al.. (1993). Squamous cell carcinoma of the head and neck: Management after excisional biopsy of a solitary metastatic neck node. International Journal of Radiation Oncology*Biology*Physics. 25(4). 619–622. 23 indexed citations
5.
Bhattacharya, P. & Y. P. Mack. (1990). Multivariate data-driven k-NN function estimation. Journal of Multivariate Analysis. 35(1). 1–11. 1 indexed citations
6.
Mack, Y. P. & Norman Matloff. (1990). Estimating a mixing distribution in a multiple observation setting. Statistics & Probability Letters. 10(5). 369–376. 2 indexed citations
7.
Seyal, Masud, et al.. (1989). Spinal segmental somatosensory evoked potentials in lumbosacral radiculopathies. Neurology. 39(6). 801–801. 22 indexed citations
8.
Lo, S. H., et al.. (1989). Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator. Probability Theory and Related Fields. 80(3). 461–473. 91 indexed citations
9.
Seyal, Masud, et al.. (1988). Spinal somatosensory evoked potentials following segmental sensory stimulation. A direct measure of dorsal root function. Electroencephalography and Clinical Neurophysiology. 69(4). 390–393. 6 indexed citations
10.
Mack, Y. P. & Hans‐Georg Müller. (1988). Convolution type estimators for nonparametric regression. Statistics & Probability Letters. 7(3). 229–239. 22 indexed citations
11.
Montana, Gustavo S., Wesley C. Fowler, Mahesh A. Varia, Leslie A. Walton, & Y. P. Mack. (1987). Analysis of results of radiation therapy for stage IB carcinoma of the cervix. Cancer. 60(9). 2195–2200. 24 indexed citations
12.
Bhattacharya, P. & Y. P. Mack. (1987). Weak Convergence of $k$-NN Density and Regression Estimators with Varying $k$ and Applications. The Annals of Statistics. 15(3). 25 indexed citations
13.
Mack, Y. P., et al.. (1987). Adaptive nonparametric estimation of a multivariate regression function. Journal of Multivariate Analysis. 23(2). 169–182. 15 indexed citations
14.
Montana, Gustavo S., Wesley C. Fowler, Mahesh A. Varia, et al.. (1986). Carcinoma of the cervix, stage III. Results of radiation therapy. Cancer. 57(1). 148–154. 143 indexed citations
15.
Montana, Gustavo S., Wesley C. Fowler, Mahesh A. Varia, Leslie A. Walton, & Y. P. Mack. (1985). Analysis of results of radiation therapy for stage II carcinoma of the cervix. Cancer. 55(5). 956–962. 43 indexed citations
16.
Montana, Gustavo S., Wesley C. Fowler, Mahesh A. Varia, Leslie A. Walton, & Y. P. Mack. (1984). Analysis of results of radiation therapy for stage III carcinoma of the cervix. International Journal of Radiation Oncology*Biology*Physics. 10. 138–139. 3 indexed citations
17.
Mack, Y. P.. (1984). REMARKS ON SOME SMOOTHED EMPIRICAL DISTRIBUTION FUNCTIONS AND PROCESS. Kyushu University Institutional Repository (QIR) (Kyushu University). 21(1/2). 29–35. 8 indexed citations
18.
Mack, Y. P.. (1983). Rate of strong uniform convergence of k-NN density estimates. Journal of Statistical Planning and Inference. 8(2). 185–192. 9 indexed citations
19.
Mack, Y. P. & Bernard W. Silverman. (1982). Weak and strong uniform consistency of kernel regression estimates. Probability Theory and Related Fields. 61(3). 405–415. 392 indexed citations
20.
Mack, Y. P. & M. Rosenblatt. (1979). Multivariate k-nearest neighbor density estimates. Journal of Multivariate Analysis. 9(1). 1–15. 161 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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