P. Algoet

1.3k total citations
14 papers, 805 citations indexed

About

P. Algoet is a scholar working on Artificial Intelligence, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, P. Algoet has authored 14 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Mathematical Physics and 4 papers in Statistics and Probability. Recurrent topics in P. Algoet's work include Mathematical Dynamics and Fractals (4 papers), Algorithms and Data Compression (4 papers) and Bayesian Methods and Mixture Models (3 papers). P. Algoet is often cited by papers focused on Mathematical Dynamics and Fractals (4 papers), Algorithms and Data Compression (4 papers) and Bayesian Methods and Mixture Models (3 papers). P. Algoet collaborates with scholars based in United States, Hungary and Russia. P. Algoet's co-authors include Thomas M. Cover, Akio Fujiwara, Abraham J. Wyner, Ioannis Kontoyiannis, Yu. M. Suhov, S. Yakowitz, J.M. Cioffi, László Györfi, P.S. Chow and Brian Marcus and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Physical Review A.

In The Last Decade

P. Algoet

14 papers receiving 737 citations

Peers

P. Algoet
Anders Kock Denmark
Gordon Simons United States
Wolfgang J. Runggaldier Italy
Chuancun Yin China
R. J. Serfling United States
Włodzimierz Bryc United States
Friedrich Liese Germany
Peter Spreij Netherlands
Nigel J. Cutland United Kingdom
Yu. V. Prokhorov Russia
Anders Kock Denmark
P. Algoet
Citations per year, relative to P. Algoet P. Algoet (= 1×) peers Anders Kock

Countries citing papers authored by P. Algoet

Since Specialization
Citations

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

Fields of papers citing papers by P. Algoet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Algoet

This figure shows the co-authorship network connecting the top 25 collaborators of P. Algoet. A scholar is included among the top collaborators of P. Algoet 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 P. Algoet. P. Algoet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Algoet, P. & J.M. Cioffi. (2005). The Capacity Of A Channel With Gaussian Noise And Intersymbol Interference. 5 indexed citations
2.
Cioffi, J.M., P. Algoet, & P.S. Chow. (2002). Combined equalization and coding with finite-length decision feedback equalization. 1664–1668. 6 indexed citations
3.
Algoet, P. & László Györfi. (1999). Strong Universal Pointwise Consistency of Some Regression Function Estimates. Journal of Multivariate Analysis. 71(1). 125–144. 5 indexed citations
4.
Fujiwara, Akio & P. Algoet. (1999). One-to-one parametrization of quantum channels. Physical Review A. 59(5). 3290–3294. 90 indexed citations
5.
Algoet, P.. (1999). Universal schemes for learning the best nonlinear predictor given the infinite past and side information. IEEE Transactions on Information Theory. 45(4). 1165–1185. 33 indexed citations
6.
Kontoyiannis, Ioannis, P. Algoet, Yu. M. Suhov, & Abraham J. Wyner. (1998). Nonparametric entropy estimation for stationary processes and random fields, with applications to English text. IEEE Transactions on Information Theory. 44(3). 1319–1327. 163 indexed citations
7.
Yakowitz, S., et al.. (1997). Weakly convergent nonparametric forecasting of stationary time series. IEEE Transactions on Information Theory. 43(2). 483–498. 43 indexed citations
8.
Algoet, P.. (1995). Correction: Universal Prediction Schemes. The Annals of Probability. 23(1). 5 indexed citations
9.
Algoet, P.. (1994). The strong law of large numbers for sequential decisions under uncertainty. IEEE Transactions on Information Theory. 40(3). 609–633. 41 indexed citations
10.
Algoet, P.. (1992). Universal Schemes for Prediction, Gambling and Portfolio Selection. The Annals of Probability. 20(2). 68 indexed citations
11.
Algoet, P. & Brian Marcus. (1992). Large deviation theorems for empirical types of Markov chains constrained to thin sets. IEEE Transactions on Information Theory. 38(4). 1276–1291. 2 indexed citations
12.
Algoet, P.. (1989). Flow balance equations for the steady-state distribution of a flexible manufacturing system. IEEE Transactions on Automatic Control. 34(8). 917–921. 28 indexed citations
13.
Algoet, P. & Thomas M. Cover. (1988). Asymptotic Optimality and Asymptotic Equipartition Properties of Log-Optimum Investment. The Annals of Probability. 16(2). 209 indexed citations
14.
Algoet, P. & Thomas M. Cover. (1988). A Sandwich Proof of the Shannon-McMillan-Breiman Theorem. The Annals of Probability. 16(2). 107 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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