Plamen Neytchev

25 total papers · 462 total citations
15 papers, 277 citations indexed

About

Plamen Neytchev is a scholar working on Statistics and Probability, Global and Planetary Change and Statistics, Probability and Uncertainty. According to data from OpenAlex, Plamen Neytchev has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Global and Planetary Change and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Plamen Neytchev's work include Advanced Statistical Methods and Models (7 papers), Climate variability and models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Plamen Neytchev is often cited by papers focused on Advanced Statistical Methods and Models (7 papers), Climate variability and models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Plamen Neytchev collaborates with scholars based in Bulgaria, Austria and Netherlands. Plamen Neytchev's co-authors include Neyko Neykov, Peter Filzmoser, Rositsa B. Dimova, Pieter van Gelder, Valentin Todorov, John de Ronde, Walter Zucchini, Pierre Bénard, Maja Telišman Prtenjak and Pavel Čı́žek and has published in prestigious journals such as Water Resources Research, Monthly Weather Review and Remote Sensing.

In The Last Decade

Plamen Neytchev

15 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Plamen Neytchev	121	85	81	51	35	15	277
Neyko Neykov	183 1.5×	49 0.6×	97 1.2×	30 0.6×	61 1.7×	14	306
Gery Geenens	121 1.0×	67 0.8×	72 0.9×	27 0.5×	19 0.5×	20	308
Daniel Sanz-Alonso	71 0.6×	23 0.3×	109 1.3×	44 0.9×	30 0.9×	27	223
Radu Herbei	68 0.6×	35 0.4×	143 1.8×	36 0.7×	46 1.3×	24	325
Alfredo Garbuno-Iñigo	38 0.3×	80 0.9×	78 1.0×	99 1.9×	66 1.9×	10	312
Bernard Garel	128 1.1×	40 0.5×	97 1.2×	26 0.5×	18 0.5×	23	269
Patrick Rebeschini	33 0.3×	29 0.3×	115 1.4×	29 0.6×	9 0.3×	14	178
David M. Allen	35 0.3×	49 0.6×	26 0.3×	13 0.3×	15 0.4×	11	329
Daniela De Canditiis	38 0.3×	39 0.5×	32 0.4×	45 0.9×	9 0.3×	37	316
Michael Sherman	44 0.4×	40 0.5×	38 0.5×	27 0.5×	13 0.4×	15	324

Countries citing papers authored by Plamen Neytchev

Since Specialization

Citations

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

Fields of papers citing papers by Plamen Neytchev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Plamen Neytchev

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