A. O. Pittenger

54 total papers · 962 total citations
35 papers, 601 citations indexed

About

A. O. Pittenger is a scholar working on Artificial Intelligence, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, A. O. Pittenger has authored 35 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Applied Mathematics and 8 papers in Statistics and Probability. Recurrent topics in A. O. Pittenger's work include Markov Chains and Monte Carlo Methods (7 papers), Quantum Information and Cryptography (6 papers) and Quantum Mechanics and Applications (5 papers). A. O. Pittenger is often cited by papers focused on Markov Chains and Monte Carlo Methods (7 papers), Quantum Information and Cryptography (6 papers) and Quantum Mechanics and Applications (5 papers). A. O. Pittenger collaborates with scholars based in United States, Poland and Argentina. A. O. Pittenger's co-authors include Morton H. Rubin, Daniel Gottesman, Juan Pablo Paz, Cecilia Cormick, Ernesto F. Galvão, Dariusz Chruściński, Alan F. Karr, John V. Ryff, Frank B. Knight and M. J. Sharpe and has published in prestigious journals such as Physical Review A, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

In The Last Decade

A. O. Pittenger

33 papers receiving 530 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
A. O. Pittenger	314	265	135	89	74	35	601
K. R. Parthasarathy	94 0.3×	84 0.3×	67 0.5×	202 2.3×	159 2.1×	39	531
Pierre Mathonet	203 0.6×	160 0.6×	24 0.2×	40 0.4×	108 1.5×	39	538
Ilia Krasikov	171 0.5×	50 0.2×	165 1.2×	191 2.1×	80 1.1×	71	562
George Boole	136 0.4×	50 0.2×	56 0.4×	103 1.2×	43 0.6×	15	566
Shayne Waldron	80 0.3×	55 0.2×	284 2.1×	74 0.8×	58 0.8×	49	582
S. K. Zaremba	85 0.3×	61 0.2×	98 0.7×	63 0.7×	34 0.5×	43	676
Claudio Carmeli	368 1.2×	314 1.2×	55 0.4×	28 0.3×	150 2.0×	37	675
D. M. Appleby	389 1.2×	401 1.5×	98 0.7×	42 0.5×	57 0.8×	27	580
Edmund Hlawka	47 0.1×	92 0.3×	147 1.1×	100 1.1×	81 1.1×	58	614
Ion Nechita	378 1.2×	336 1.3×	21 0.2×	43 0.5×	42 0.6×	51	529

Countries citing papers authored by A. O. Pittenger

Since Specialization

Citations

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

Fields of papers citing papers by A. O. Pittenger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. O. Pittenger. 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 A. O. Pittenger. The network helps show where A. O. Pittenger may publish in the future.

Co-authorship network of co-authors of A. O. Pittenger

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

All Works

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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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