Stefan Sperlich

3.6k citations
101 papers · 2.2k · 1 hit paper · h-index 21

Impact in

Papers in

Stefan Sperlich

92 papers receiving 2.0k citations

Stefan Sperlich's Hit Papers

Nonparametric and Semiparametric Models 2004 · 672 citations
6720+7+14Years since publication200400600

Peers

Stefan Sperlich
Comparison fields: 5 of 159
  • Statistics and Probability 873
  • General Economics, Econometrics and Finance 194
  • Management Science and Operations Research 272
  • Finance 212
  • Statistics, Probability and Uncertainty 126
Replace Göran Kauermann with:
Göran Kauermann Germany
Wenceslao González–Manteiga Spain
Aloïs Kneip Germany
Hrishikesh D. Vinod United States
Byeong U. Park South Korea
Jeffrey D. Hart United States
Gerda Claeskens Belgium
William W. S. Wei United States
John Wiley
James V. Zidek Canada
Stefan Sperlich relative to Göran Kauermann Germany Göran Kauermann's profile →
Citations per field
00.5×1.5×
Göran Kauermann · 1×
Citations per year

Countries citing papers authored by Stefan Sperlich

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Sperlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonparametric and Semiparametric Models
Hit paper breakdown →
2004672
2 2013204
3 201199
4 200299
5 200469
6 200759
7 200456
8 201450
9 200849
10 201049
11 199946
12 200436
13 200834
14 200330
15 201129
16 201326
17 199924
18 200922
19 201921
20 200520

About Stefan Sperlich

Stefan Sperlich is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance and Artificial Intelligence, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (46 papers), Advanced Statistical Methods and Models (16 papers), Statistical Methods and Bayesian Inference (15 papers), Monetary Policy and Economic Impact (9 papers), Spatial and Panel Data Analysis (9 papers), Economics of Agriculture and Food Markets (8 papers), Bayesian Methods and Mixture Models (8 papers) and Financial Risk and Volatility Modeling (7 papers). The work is most often cited by research in Statistics and Probability (873 citations), General Economics, Econometrics and Finance (194 citations), Management Science and Operations Research (272 citations), Finance (212 citations) and Statistics, Probability and Uncertainty (126 citations). Stefan Sperlich has collaborated with scholars based in Switzerland, Spain and Germany. Frequent co-authors include Wolfgang Karl Härdle, Marlene Müller, Axel Werwatz, Jens Perch Nielsen, Lijian Yang, María José Lombardía, Dag Tjøstheim, Enno Mammen, Markus Bernhardt‐Römermann and Wolfgang Schmidt. Their work appears in journals such as Computational Statistics & Data Analysis, Test, Journal of the American Statistical Association, Econometric Theory and Empirical Economics.

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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