Susan J. Devlin

15 papers receiving 5.5k citations

Susan J. Devlin's Hit Papers

Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting 1988 · 580 citations
5800+12+25Years since publication10002.0k3.0k4.0k

Peers

Susan J. Devlin
Comparison fields: 5 of 225
  • Statistics and Probability 694
  • Global and Planetary Change 771
  • Statistics, Probability and Uncertainty 237
  • Atmospheric Science 469
  • Analytical Chemistry 227
Replace Christopher Chatfield with:
Christopher Chatfield United Kingdom
David S. Stoffer United States
G. M. Clarke Australia
John M. Chambers United States
N. I. Fisher Australia
Gail Gong United States
J. Praagman Netherlands
Donald G. Watts Canada
Robert A. Koyak United States
W. Allen Wallis United States
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Citations per field
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Christopher Chatfield · 1×
Citations per year

Countries citing papers authored by Susan J. Devlin

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Devlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan J. Devlin. 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 Susan J. Devlin. The network helps show where Susan J. Devlin may publish in the future.

Co-authors

The 7 scholars most cited alongside Susan J. Devlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susan J. Devlin Line = papers co-authored together Susan J. Devlin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Hit paper breakdown →
19884158
2
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Hit paper breakdown →
1988580
3 1988472
4 1975268
5 1981239
6 198062
7 199060
8 198239
9 198626
10 198020
11 197518
12 198211
13 19878
14 19862
15 19861

About Susan J. Devlin

Susan J. Devlin is a scholar working on Statistics and Probability, Management Science and Operations Research, Signal Processing, Artificial Intelligence and Applied Mathematics, having authored 15 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical and numerical algorithms (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Advanced Database Systems and Queries (2 papers), Soil Geostatistics and Mapping (2 papers), Advanced Statistical Process Monitoring (2 papers), Forecasting Techniques and Applications (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Statistics and Probability (694 citations), Global and Planetary Change (771 citations), Statistics, Probability and Uncertainty (237 citations), Atmospheric Science (469 citations) and Analytical Chemistry (227 citations). Susan J. Devlin has collaborated with scholars based in United States and Canada. Frequent co-authors include William S. Cleveland, J. R. Kettenring, R. Gnanadesikan, Eric H. Grosse, Sharon L. Greene, Louis M. Gomez and Myrto Lefkopoulou. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Biometrika, Journal of Econometrics and Communications in Statistics - Simulation and Computation.

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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