Maia Berkane

21 total papers · 470 total citations
17 papers, 320 citations indexed

About

Maia Berkane is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Maia Berkane has authored 17 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Environmental Engineering. Recurrent topics in Maia Berkane's work include Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (5 papers). Maia Berkane is often cited by papers focused on Advanced Statistical Methods and Models (11 papers), Statistical Methods and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (5 papers). Maia Berkane collaborates with scholars based in United States, Japan and Netherlands. Maia Berkane's co-authors include Peter M. Bentler, Yutaka Kano, Yutaka Kano, P. M. Bentler, Catrien Bijleveld, H.P.A. van de Water, Willie J. McKinney, Cheryl K. Olson and Neil Sherwood and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Computational Statistics & Data Analysis.

In The Last Decade

Maia Berkane

17 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
Maia Berkane	216	62	40	39	24	17	320
Hans Nyquist	165 0.8×	29 0.5×	45 1.1×	45 1.2×	16 0.7×	31	365
Jiajuan Liang	177 0.8×	36 0.6×	47 1.2×	20 0.5×	25 1.0×	39	323
Dale S. Borowiak	129 0.6×	49 0.8×	32 0.8×	39 1.0×	65 2.7×	10	362
A. W. Bowman	205 0.9×	44 0.7×	30 0.8×	47 1.2×	29 1.2×	7	301
Steffen Grønneberg	147 0.7×	60 1.0×	119 3.0×	41 1.1×	59 2.5×	23	348
Silvia Bianconcini	53 0.2×	46 0.7×	56 1.4×	71 1.8×	12 0.5×	26	318
Ming Gu	208 1.0×	91 1.5×	43 1.1×	21 0.5×	17 0.7×	14	320
Angelo Mazza	89 0.4×	89 1.4×	37 0.9×	52 1.3×	25 1.0×	26	277
Somesh Das Gupta	165 0.8×	47 0.8×	38 0.9×	29 0.7×	25 1.0×	24	293
Y. Fujikoshi	184 0.9×	58 0.9×	28 0.7×	15 0.4×	19 0.8×	20	276

Countries citing papers authored by Maia Berkane

Since Specialization

Citations

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

Fields of papers citing papers by Maia Berkane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maia Berkane

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