Harro Walk

3.3k total citations · 1 hit paper
68 papers, 1.7k citations indexed

About

Harro Walk is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Harro Walk has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 19 papers in Artificial Intelligence and 15 papers in Finance. Recurrent topics in Harro Walk's work include Statistical Methods and Inference (25 papers), Stochastic processes and financial applications (14 papers) and Probability and Risk Models (9 papers). Harro Walk is often cited by papers focused on Statistical Methods and Inference (25 papers), Stochastic processes and financial applications (14 papers) and Probability and Risk Models (9 papers). Harro Walk collaborates with scholars based in Germany, Hungary and Canada. Harro Walk's co-authors include László Györfi, Michael Köhler, Adam Krzyżak, Lennart Ljung, Georg Ch. Pflug, Frederic Udina, László Zsidó, Luc Devroye, Rainer Schwabe and Karl Hinderer and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Mathematical Analysis and Applications and Journal of Machine Learning Research.

In The Last Decade

Harro Walk

61 papers receiving 1.6k citations

Hit Papers

A Distribution-Free Theory of Nonparametric Regression 2002 2026 2010 2018 2002 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Distribution-Free Theory of Nonparametric Regression
    2002 966 citations László Györfi, Michael Köhler et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harro Walk Germany 14 731 683 329 242 235 68 1.7k
Pierre Priouret France 9 329 0.5× 682 1.0× 242 0.7× 268 1.1× 185 0.8× 17 1.7k
A. B. Tsybakov France 24 1.3k 1.8× 737 1.1× 313 1.0× 222 0.9× 326 1.4× 46 2.4k
Lucien Birgé France 17 1.1k 1.5× 672 1.0× 116 0.4× 243 1.0× 181 0.8× 28 1.7k
Stamatis Cambanis United States 24 622 0.9× 321 0.5× 316 1.0× 168 0.7× 656 2.8× 88 1.9k
Vladimir Koltchinskii United States 23 922 1.3× 925 1.4× 155 0.5× 189 0.8× 61 0.3× 52 2.1k
Subhashis Ghosal United States 25 1.7k 2.4× 1.5k 2.2× 288 0.9× 107 0.4× 181 0.8× 93 2.5k
F. T. Wright United States 19 2.0k 2.7× 563 0.8× 677 2.1× 143 0.6× 124 0.5× 84 2.7k
Heng Lian China 24 1.3k 1.8× 578 0.8× 108 0.3× 250 1.0× 125 0.5× 222 1.9k
Marten Wegkamp United States 16 613 0.8× 517 0.8× 124 0.4× 107 0.4× 277 1.2× 42 1.3k
Tailen Hsing United States 22 1.1k 1.5× 511 0.7× 290 0.9× 149 0.6× 1.0k 4.3× 61 2.3k

Countries citing papers authored by Harro Walk

Since Specialization
Citations

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

Fields of papers citing papers by Harro Walk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harro Walk

This figure shows the co-authorship network connecting the top 25 collaborators of Harro Walk. A scholar is included among the top collaborators of Harro Walk 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 Harro Walk. Harro Walk 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.
Györfi, László, Tamás Linder, & Harro Walk. (2023). Lossless Transformations and Excess Risk Bounds in Statistical Inference. Entropy. 25(10). 1394–1394. 3 indexed citations
2.
Györfi, László, et al.. (2023). Classification With Repeated Observations. IEEE Signal Processing Letters. 30. 1522–1526. 1 indexed citations
3.
Köhler, Michael, et al.. (2023). Convergence rates for shallow neural networks learned by gradient descent. Bernoulli. 30(1). 8 indexed citations
4.
Györfi, László, Norbert Henze, & Harro Walk. (2019). The limit distribution of the maximum probability nearest-neighbour ball. Journal of Applied Probability. 56(2). 574–589. 6 indexed citations
5.
Köhler, Michael, et al.. (2018). On the strong universal consistency of local averaging regression estimates. Annals of the Institute of Statistical Mathematics. 71(5). 1233–1263. 1 indexed citations
6.
Devroye, Luc, László Györfi, Gábor Lugosi, & Harro Walk. (2018). A nearest neighbor estimate of the residual variance. Electronic Journal of Statistics. 12(1). 7 indexed citations
7.
Györfi, László & Harro Walk. (2015). On the asymptotic normality of an estimate of a regression functional. Journal of Machine Learning Research. 16(1). 1863–1877. 2 indexed citations
8.
Györfi, László, et al.. (2011). Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). IMPERIAL COLLEGE PRESS eBooks. 2 indexed citations
9.
Györfi, László, et al.. (2011). Machine Learning for Financial Engineering. 26 indexed citations
10.
Köhler, Michael, Adam Krzyżak, & Harro Walk. (2009). Upper bounds for Bermudan options on Markovian data using nonparametric regression and a reduced number of nested Monte Carlo steps. 26(4). 275–288. 4 indexed citations
11.
Walk, Harro. (2007). A universal strong law of large numbers for conditional expectations via nearest neighbors. Journal of Multivariate Analysis. 99(6). 1035–1050. 7 indexed citations
12.
Dippon, Jürgen & Harro Walk. (2006). The Averaged Robbins – Monro Method for Linear Problems in a Banach Space. Journal of Theoretical Probability. 19(1). 166–189. 7 indexed citations
13.
Köhler, Michael, Adam Krzyżak, & Harro Walk. (2005). Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data. Journal of Multivariate Analysis. 97(2). 311–323. 21 indexed citations
14.
Walk, Harro & S. Yakowitz. (2002). Iterative nonparametric estimation of a log-optimal portfolio selection function. IEEE Transactions on Information Theory. 48(1). 324–333. 7 indexed citations
15.
Györfi, László, Dominik Schäfer, & Harro Walk. (2002). Relative stability of global errors of nonparametric function estimators. IEEE Transactions on Information Theory. 48(8). 2230–2242. 2 indexed citations
16.
Schwabe, Rainer & Harro Walk. (1996). On a stochastic approximation procedure based on averaging. Metrika. 44(1). 165–180. 11 indexed citations
17.
Walk, Harro. (1989). Nonlinear renewal theory under growth conditions. Stochastic Processes and their Applications. 32(2). 289–303. 3 indexed citations
18.
Walk, Harro & László Zsidó. (1989). Convergence of the Robbins-Monro method for linear problems in a Banach space. Journal of Mathematical Analysis and Applications. 139(1). 152–177. 18 indexed citations
19.
Walk, Harro. (1980). Probabilistic methods in the approximation by linear positive operators. Indagationes Mathematicae (Proceedings). 83(4). 445–455. 4 indexed citations
20.
Walk, Harro. (1978). Martingales and the Robbins-Monro procedure in D[0, 1]. Journal of Multivariate Analysis. 8(3). 430–452. 7 indexed citations

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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