Ariel Kleiner

10 total papers · 787 total citations
7 papers, 401 citations indexed

About

Ariel Kleiner is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Ariel Kleiner has authored 7 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Computer Networks and Communications. Recurrent topics in Ariel Kleiner's work include Bayesian Modeling and Causal Inference (3 papers), Statistical Methods and Inference (3 papers) and Neural Networks and Applications (2 papers). Ariel Kleiner is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Statistical Methods and Inference (3 papers) and Neural Networks and Applications (2 papers). Ariel Kleiner collaborates with scholars based in United States. Ariel Kleiner's co-authors include Michael I. Jordan, Ameet Talwalkar, Purnamrita Sarkar, Ion Stoica, Eugene I. Shakhnovich, Barzan Mozafari, Henry Milner, Samuel Madden, Sameer Agarwal and Sameer Agarwal and has published in prestigious journals such as Biophysical Journal, Journal of the Royal Statistical Society Series B (Statistical Methodology) and arXiv (Cornell University).

In The Last Decade

Ariel Kleiner

7 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Ariel Kleiner	200	126	109	90	63	7	401
Julia Neumann	211 1.1×	110 0.9×	18 0.2×	95 1.1×	148 2.3×	14	416
Thomas Allen	169 0.8×	50 0.4×	20 0.2×	42 0.5×	84 1.3×	7	401
Santosh Kumar Srivastava	186 0.9×	34 0.3×	75 0.7×	57 0.6×	69 1.1×	20	420
Boulos Harb	249 1.2×	55 0.4×	14 0.1×	105 1.2×	92 1.5×	17	335
Christine Rüb	157 0.8×	157 1.2×	21 0.2×	45 0.5×	33 0.5×	12	382
Dawei Yin	232 1.2×	41 0.3×	38 0.3×	27 0.3×	95 1.5×	17	409
V. К. Trofimov	300 1.5×	111 0.9×	20 0.2×	61 0.7×	84 1.3×	6	379
Rafail Krichevsky	326 1.6×	116 0.9×	20 0.2×	65 0.7×	94 1.5×	5	408
Anup Rao	269 1.3×	62 0.5×	34 0.3×	26 0.3×	84 1.3×	27	409
Elliotte Rusty Harold	127 0.6×	135 1.1×	10 0.1×	27 0.3×	26 0.4×	18	433

Countries citing papers authored by Ariel Kleiner

Since Specialization

Citations

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

Fields of papers citing papers by Ariel Kleiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Kleiner

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Kleiner. A scholar is included among the top collaborators of Ariel Kleiner 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 Ariel Kleiner. Ariel Kleiner 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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