Robert Serfling

10.0k total citations · 1 hit paper
76 papers, 6.5k citations indexed

About

Robert Serfling is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance. According to data from OpenAlex, Robert Serfling has authored 76 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Statistics and Probability, 22 papers in Statistics, Probability and Uncertainty and 13 papers in Finance. Recurrent topics in Robert Serfling's work include Advanced Statistical Methods and Models (42 papers), Advanced Statistical Process Monitoring (22 papers) and Statistical Methods and Inference (21 papers). Robert Serfling is often cited by papers focused on Advanced Statistical Methods and Models (42 papers), Advanced Statistical Process Monitoring (22 papers) and Statistical Methods and Inference (21 papers). Robert Serfling collaborates with scholars based in United States, Germany and India. Robert Serfling's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Robert Serfling

76 papers receiving 5.9k citations

Hit Papers

Approximation Theorems of Mathematical Statistics 1980 2026 1995 2010 1980 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Serfling United States 27 4.3k 1.2k 1.2k 1.0k 888 76 6.5k
S. Kotz United States 6 3.2k 0.7× 1.6k 1.3× 1.1k 0.9× 912 0.9× 876 1.0× 8 7.2k
Art B. Owen United States 41 4.5k 1.1× 1.6k 1.3× 1.4k 1.1× 820 0.8× 779 0.9× 117 9.4k
N. Balakrishnan Canada 16 3.3k 0.8× 1.9k 1.5× 931 0.8× 845 0.8× 779 0.9× 43 6.9k
Elvezio Ronchetti Switzerland 30 4.5k 1.1× 1.8k 1.5× 1.1k 0.9× 610 0.6× 655 0.7× 91 7.9k
Luke Tierney United States 23 3.4k 0.8× 835 0.7× 2.2k 1.8× 681 0.7× 412 0.5× 67 6.3k
Tze Leung Lai United States 41 3.2k 0.8× 1.5k 1.2× 1.3k 1.1× 1.8k 1.8× 1.0k 1.2× 242 6.7k
Qi-Man Shao United States 33 3.4k 0.8× 682 0.6× 1.1k 0.9× 1.5k 1.5× 1.3k 1.5× 168 5.5k
Yasuhiro Omori Japan 12 2.6k 0.6× 1.4k 1.1× 910 0.8× 790 0.8× 1.1k 1.3× 43 6.6k
Holger Dette Germany 37 2.7k 0.6× 1.1k 0.9× 502 0.4× 2.5k 2.5× 655 0.7× 394 5.7k
Vı́ctor J. Yohai Argentina 31 3.7k 0.9× 1.9k 1.6× 716 0.6× 473 0.5× 568 0.6× 103 6.1k

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-authorship network of co-authors of Robert Serfling

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Serfling. A scholar is included among the top collaborators of Robert Serfling 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 Robert Serfling. Robert Serfling 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.
Kitte, Reni, Robert Serfling, Ulrich Blache, et al.. (2025). Optimal Chimeric Antigen Receptor (CAR)-mRNA for Transient CAR T Cell Generation. International Journal of Molecular Sciences. 26(3). 965–965. 4 indexed citations
2.
Serfling, Robert, Reni Kitte, Nadja Hilger, et al.. (2023). Comparison of two lab-scale protocols for enhanced mRNA-based CAR-T cell generation and functionality. Scientific Reports. 13(1). 18160–18160. 4 indexed citations
3.
Serfling, Robert, Jan Møller, Ulrike Zabel, et al.. (2021). Determination of G-protein–coupled receptor oligomerization by molecular brightness analyses in single cells. Nature Protocols. 16(3). 1419–1451. 24 indexed citations
4.
Serfling, Robert, Christian Ihling, Edyta Burda, et al.. (2020). Exploring GPCR‐arrestin interfaces with genetically encoded crosslinkers. EMBO Reports. 21(11). e50437–e50437. 31 indexed citations
5.
Serfling, Robert, Lisa Seidel, Andreas Böck, et al.. (2019). Quantitative Single-Residue Bioorthogonal Labeling of G Protein-Coupled Receptors in Live Cells. ACS Chemical Biology. 14(6). 1141–1149. 32 indexed citations
6.
Wang, Shanshan & Robert Serfling. (2018). On masking and swamping robustness of leading nonparametric outlier identifiers for multivariate data. Journal of Multivariate Analysis. 166. 32–49. 6 indexed citations
8.
Serfling, Robert, et al.. (2017). Designer tRNAs for efficient incorporation of non-canonical amino acids by the pyrrolysine system in mammalian cells. Nucleic Acids Research. 46(1). 1–10. 118 indexed citations
9.
Serfling, Robert & Irene Coin. (2016). Incorporation of Unnatural Amino Acids into Proteins Expressed in Mammalian Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 580. 89–107. 22 indexed citations
10.
Wachsmuth, Manja, Ronny Lorenz, Robert Serfling, et al.. (2015). Design criteria for synthetic riboswitches acting on transcription. RNA Biology. 12(2). 221–231. 32 indexed citations
11.
Serfling, Robert, et al.. (2013). Computationally easy outlier detection via projection pursuit with finitely many directions. Journal of nonparametric statistics. 25(2). 447–461. 4 indexed citations
12.
Serfling, Robert. (2010). Equivariance and invariance properties of multivariate quantile and related functions, and the role of standardisation. Journal of nonparametric statistics. 22(7). 915–936. 55 indexed citations
13.
Dang, Xin & Robert Serfling. (2010). A numerical study of multiple imputation methods using nonparametric multivariate outlier identifiers and depth-based performance criteria with clinical laboratory data. Journal of Statistical Computation and Simulation. 81(5). 547–560. 5 indexed citations
14.
Dang, Xin, Robert Serfling, & Weihua Zhou. (2008). Influence functions of some depth functions, and application to depth-weighted L-statistics. Journal of nonparametric statistics. 21(1). 49–66. 9 indexed citations
15.
Serfling, Robert, et al.. (2006). Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications. 65 indexed citations
16.
Wang, Jin & Robert Serfling. (2005). Nonparametric multivariate kurtosis and tailweight measures. Journal of nonparametric statistics. 17(4). 441–456. 18 indexed citations
17.
Serfling, Robert, et al.. (2005). Influence functions for a general class of depth-based generalized quantile functions. Journal of Multivariate Analysis. 97(4). 810–826. 7 indexed citations
18.
Serfling, Robert. (2002). Generalized Quantile Processes Based on Multivariate Depth Functions, with Applications in Nonparametric Multivariate Analysis. Journal of Multivariate Analysis. 83(1). 232–247. 22 indexed citations
19.
Helmers, Roelof, Paul Janssen, & Robert Serfling. (1990). Berry-Esséen and bootstrap results for generalized $L$-statistics. Scandinavian Journal of Statistics. 17(1). 65–77. 16 indexed citations
20.
Serfling, Robert. (1980). Approximation Theorems of Mathematical Statistics. Wiley series in probability and statistics. 4067 indexed citations breakdown →

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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