Keith Knight

6.6k citations
37 papers · 4.2k indexed · 2 hit papers · h-index 21

Keith Knight

37 papers receiving 3.9k citations

Hit Papers

Sparsity and Smoothness Via the Fused Lasso1.6k200020262008201750010001.5k

Peers

Keith Knight
Comparison fields: 5 of 170
  • Statistics and Probability 2.1k
  • Finance 675
  • General Economics, Econometrics and Finance 322
  • Statistics, Probability and Uncertainty 204
  • Computational Mechanics 562
Replace Vladimir Spokoiny with:
Vladimir Spokoiny Germany
Jinchi Lv United States
Enno Mammen Germany
Zhidong Bai China
Yuhong Yang United States
Michael S. Smith Australia
Peter Hall Australia
Sara van de Geer Switzerland
R. L. Eubank United States
Ker-Chau Li United States
Keith Knight relative to Vladimir Spokoiny Germany Vladimir Spokoiny's profile →
Citations per field
00.5×2.8×
Vladimir Spokoiny · 1×
Citations per year

Countries citing papers authored by Keith Knight

Since Specialization
Citations

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

Fields of papers citing papers by Keith Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Keith Knight, 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 Keith Knight Line = papers co-authored together Keith Knight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20206
2 20182
3 200911
4 200910
5 20052
6
Sparsity and Smoothness Via the Fused Lassobreakdown →
20041643
7
ON THE SECOND ORDER BEHAVIOUR OF THE BOOTSTRAP OF L1 REGRESSION ESTIMATORS
20031
8 200216
9 200133
10 19997
11 1999134
12 199960
13 1998351
14 19985
15 1997262
16 1992164
17 199139
18 19915
19
LIMIT THEORY FOR M-ESTIMATES IN AN INTEGRATED INFINITE VARIANCE PROCESS
199132
20 198982

About Keith Knight

Keith Knight is a scholar working on Statistics and Probability, Finance, Statistics, Probability and Uncertainty, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 37 papers that have together received 4.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (26 papers), Advanced Statistical Methods and Models (16 papers), Financial Risk and Volatility Modeling (11 papers), Stochastic processes and financial applications (5 papers), Statistical Methods and Bayesian Inference (3 papers), Control Systems and Identification (3 papers), Bayesian Methods and Mixture Models (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Finance (675 citations), General Economics, Econometrics and Finance (322 citations), Statistics, Probability and Uncertainty (204 citations) and Computational Mechanics (562 citations). Keith Knight has collaborated with scholars based in Canada and United States. Frequent co-authors include Wenjiang Fu, Robert Tibshirani, Ji Zhu, Michael A. Saunders, Saharon Rosset, Richard A. Davis, Jian Liu, Justin Podur, David L. Martell and Mehmet Caner. Their work appears in journals such as Econometric Theory, The Annals of Statistics, Stochastic Processes and their Applications, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Econometric Reviews.

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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