Roy E. Welsch

16.1k total citations · 4 hit papers
115 papers, 11.9k citations indexed

About

Roy E. Welsch is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Roy E. Welsch has authored 115 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Roy E. Welsch's work include Advanced Statistical Methods and Models (21 papers), Advanced Statistical Process Monitoring (12 papers) and Statistical Methods and Inference (10 papers). Roy E. Welsch is often cited by papers focused on Advanced Statistical Methods and Models (21 papers), Advanced Statistical Process Monitoring (12 papers) and Statistical Methods and Inference (10 papers). Roy E. Welsch collaborates with scholars based in United States, Singapore and China. Roy E. Welsch's co-authors include Edwin Kuh, David A. Belsley, Paul W. Holland, David C. Hoaglin, Erik Cambria, Paul F. Velleman, J. E. Dennis, William S. Krasker, David M. Gay and Frank Xing and has published in prestigious journals such as Nature Communications, Nano Letters and Journal of the American Statistical Association.

In The Last Decade

Roy E. Welsch

112 papers receiving 11.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Regression Diagnostics

1980 5.9k citations David A. Belsley, Edwin Kuh et al. Wiley series in probability and statistics profile →
Robust regression using iteratively reweighted least-squares

1977 1.6k citations Roy E. Welsch et al. profile →
The Hat Matrix in Regression and ANOVA

1978 558 citations David C. Hoaglin, Roy E. Welsch The American Statistician profile →
Natural language based financial forecasting: a survey

2017 268 citations Erik Cambria, Roy E. Welsch et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roy E. Welsch United States	30	2.0k	1.6k	1.3k	1.2k	1.0k	115	11.9k
Michael Kutner United States	60	1.4k 0.7×	1.6k 1.0×	1.6k 1.2×	814 0.7×	2.1k 2.0×	163	33.2k
Richard A. Johnson United States	52	1.7k 0.8×	1.1k 0.7×	2.8k 2.1×	903 0.8×	2.4k 2.4×	260	13.3k
Chih‐Ling Tsai United States	36	3.1k 1.5×	2.0k 1.3×	1.7k 1.3×	1.2k 1.0×	603 0.6×	136	13.5k
Chris Beaumont United Kingdom	23	893 0.4×	1.4k 0.9×	1.0k 0.8×	444 0.4×	896 0.9×	103	8.3k
Ali S. Hadi United States	32	2.1k 1.1×	839 0.5×	377 0.3×	1.3k 1.1×	306 0.3×	99	7.6k
Dean W. Wichern United States	23	1.9k 0.9×	1.3k 0.8×	342 0.3×	1.6k 1.4×	509 0.5×	47	13.8k
George G. Judge United States	37	1.8k 0.9×	3.8k 2.4×	845 0.6×	475 0.4×	778 0.8×	153	9.2k
John Neter United States	23	1.1k 0.5×	1.3k 0.8×	1.4k 1.0×	644 0.5×	1.7k 1.6×	75	20.8k
Gilbert W. Bassett United States	20	2.8k 1.4×	5.6k 3.6×	907 0.7×	721 0.6×	450 0.4×	51	12.5k
Lawrence D. Brown United States	53	2.4k 1.2×	1.4k 0.9×	6.1k 4.6×	1.1k 0.9×	2.6k 2.5×	312	13.5k

Countries citing papers authored by Roy E. Welsch

Since Specialization

Citations

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

Fields of papers citing papers by Roy E. Welsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy E. Welsch. 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 Roy E. Welsch. The network helps show where Roy E. Welsch may publish in the future.

Co-authorship network of co-authors of Roy E. Welsch

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Lifeng, et al.. (2025). A Novel Prediction Model for Multimodal Medical Data Based on Graph Neural Networks. Machine Learning and Knowledge Extraction. 7(3). 92–92.

Welsch, Roy E., et al.. (2024). Novel Alzheimer’s Disease Stating Based on Comorbidities-Informed Graph Neural Networks. PubMed. 2024. 1–4. 1 indexed citations

Chaturvedi, Iti, Erik Cambria, & Roy E. Welsch. (2023). Teaching Simulations Supported by Artificial Intelligence in the Real World. Education Sciences. 13(2). 187–187. 4 indexed citations

Welsch, Roy E., et al.. (2023). Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations. Journal Of Big Data. 10(1). 92–92. 6 indexed citations

Cui, Hongyan, et al.. (2022). Self-training method based on GCN for semi-supervised short text classification. Information Sciences. 611. 18–29. 19 indexed citations

Welsch, Roy E., et al.. (2022). Treeago: Tree-structure aggregation and optimization for graph neural network. Neurocomputing. 489. 429–440. 5 indexed citations

Ji, Xiang, Jiayuan Zhao, Sung Mi Jung, et al.. (2021). Bottom-Up Synthesized All-Thermal-Catalyst Aerogels for Heat-Regenerative Air Filtration. Nano Letters. 21(19). 8160–8165. 10 indexed citations

Welsch, Roy E., et al.. (2020). Transcompp: understanding phenotypic plasticity by estimating Markov transition rates for cell state transitions. Bioinformatics. 36(9). 2813–2820. 6 indexed citations

Welsch, Roy E., et al.. (2019). The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling. PLoS ONE. 14(10). e0223161–e0223161. 4 indexed citations

10.

Xu, Shuoyu, Shuangmu Zhuo, Dean Tai, et al.. (2015). Differential remodeling of extracellular matrices by breast cancer initiating cells. Journal of Biophotonics. 8(10). 804–815. 9 indexed citations

11.

Cutcutache, Ioana, Yuka Suzuki, John R. McPherson, et al.. (2015). Abundant copy-number loss of CYCLOPS and STOP genes in gastric adenocarcinoma. Gastric Cancer. 19(2). 453–465. 5 indexed citations

12.

Zheng, Baixue, Weimiao Yu, Yan Wang, et al.. (2011). Predicting In Vivo Anti-Hepatofibrotic Drug Efficacy Based on In Vitro High-Content Analysis. PLoS ONE. 6(11). e26230–e26230. 3 indexed citations

13.

Welsch, Roy E., et al.. (2011). Correlation of cell membrane dynamics and cell motility. BMC Bioinformatics. 12(S13). S19–S19. 12 indexed citations

14.

Evans, Paul, et al.. (2009). Sub-population analysis based on temporal features of high content images. BMC Bioinformatics. 10(S15). S4–S4. 4 indexed citations

15.

Cook, R. Dennis, Sanford Weisberg, Daniel B. Carr, et al.. (1989). Regression Diagnostics with Dynamic Graphics: [With Discussions and Response]. Technometrics. 31(3). 277–277. 17 indexed citations

16.

Gay, David M. & Roy E. Welsch. (1988). Maximum Likelihood and Quasi-Likelihood for Nonlinear Exponential Family Regression Models. Journal of the American Statistical Association. 83(404). 990–998. 14 indexed citations

17.

Krasker, William S. & Roy E. Welsch. (1982). Efficient Bounded-Influence Regression Estimation. Journal of the American Statistical Association. 77(379). 595–604. 211 indexed citations

18.

Belsley, David A., Edwin Kuh, & Roy E. Welsch. (1980). Regression Diagnostics. Wiley series in probability and statistics. 5886 indexed citations breakdown →

19.

Hoaglin, David C. & Roy E. Welsch. (1978). The Hat Matrix in Regression and ANOVA. The American Statistician. 32(1). 17–22. 558 indexed citations breakdown →

20.

Welsch, Roy E. & Edwin Kuh. (1977). Linear Regression Diagnostics. National Bureau of Economic Research. 25 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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