Robert Serfling

10.0k citations
76 papers · 6.5k · 1 hit paper · h-index 27

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Statistical Distribution Estimation and Applications
    • Advanced Statistical Process Monitoring
    • Probabilistic and Robust Engineering Design

Papers in

Robert Serfling

76 papers receiving 5.9k citations

Robert Serfling's Hit Papers

Approximation Theorems of Mathematical Statistics 1980 · 4.1k citations
4.1k0+15+30Years since publication10002.0k3.0k4.0k

Peers

Robert Serfling
Comparison fields: 5 of 180
  • Statistics and Probability 4.3k
  • Statistics, Probability and Uncertainty 1.2k
  • Finance 888
  • Management Science and Operations Research 1.0k
  • Artificial Intelligence 1.2k
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S. Kotz United States
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Robert Serfling relative to S. Kotz United States S. Kotz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Serfling

Since Specialization
Citations

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

Fields of papers citing papers by Robert Serfling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Serfling, 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 Robert Serfling Line = papers co-authored together Robert Serfling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Approximation Theorems of Mathematical Statistics
Hit paper breakdown →
19804067
2 2000489
3 2017118
4 2002117
5 197599
6 200091
7 198480
8 200775
9 198874
10 197869
11 200665
12 201055
13 200054
14 198353
15 200351
16 200949
17 200047
18 200341
19 198839
20 200035

About Robert Serfling

Robert Serfling is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Molecular Biology and Management Science and Operations Research, having authored 76 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (42 papers), Advanced Statistical Process Monitoring (22 papers), Statistical Methods and Inference (21 papers), Financial Risk and Volatility Modeling (13 papers), Statistical Distribution Estimation and Applications (10 papers), Optimal Experimental Design Methods (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Probability and Risk Models (5 papers). The work is most often cited by research in Statistics and Probability (4.3k citations), Statistics, Probability and Uncertainty (1.2k citations), Finance (888 citations), Management Science and Operations Research (1.0k citations) and Artificial Intelligence (1.2k citations). Robert Serfling has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Yijun Zuo, Vytaras Brazauskas, Paul Janssen, Irene Coin, Xin Dang, Wolfgang Karl Härdle, Diane L. Souvaine, Mario Mörl, Shanshan Wang and Roelof Helmers. Their work appears in journals such as Journal of Statistical Planning and Inference, The Annals of Statistics, Journal of Multivariate Analysis, Computational Statistics & Data Analysis and Astin Bulletin.

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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