Markus Peura

25 total papers · 430 total citations
16 papers, 271 citations indexed

About

Markus Peura is a scholar working on Artificial Intelligence, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Markus Peura has authored 16 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Atmospheric Science and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Markus Peura's work include Precipitation Measurement and Analysis (6 papers), Meteorological Phenomena and Simulations (5 papers) and Neural Networks and Applications (5 papers). Markus Peura is often cited by papers focused on Precipitation Measurement and Analysis (6 papers), Meteorological Phenomena and Simulations (5 papers) and Neural Networks and Applications (5 papers). Markus Peura collaborates with scholars based in Finland, Sweden and United States. Markus Peura's co-authors include Jukka Iivarinen, Ari Visa, Jaakko Särelä, Mike Dixon, Jarmo Koistinen, Scott Collis, Scott Giangrande, David B. Wolff, Jonathan Helmus and Maik Heistermann and has published in prestigious journals such as Bulletin of the American Meteorological Society, Neural Processing Letters and British Machine Vision Conference.

In The Last Decade

Markus Peura

16 papers receiving 245 citations

Author Peers

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

Author						Papers	Cites
Markus Peura	121	70	53	37	35	16	271
Yuan Hu	75 0.6×	71 1.0×	25 0.5×	70 1.9×	44 1.3×	14	255
Piotr Biliński	157 1.3×	24 0.3×	81 1.5×	18 0.5×	38 1.1×	20	277
Zhen Wen	132 1.1×	24 0.3×	29 0.5×	58 1.6×	27 0.8×	13	307
Bin Tian	70 0.6×	32 0.5×	84 1.6×	23 0.6×	27 0.8×	25	287
Wenxuan Shi	122 1.0×	25 0.4×	34 0.6×	61 1.6×	20 0.6×	23	292
Wei-Hao Wu	139 1.1×	35 0.5×	34 0.6×	43 1.2×	38 1.1×	9	323
Eric Rigall	155 1.3×	23 0.3×	56 1.1×	22 0.6×	13 0.4×	30	327
Ritwik Gupta	81 0.7×	47 0.7×	59 1.1×	29 0.8×	37 1.1×	7	255
Ryuhei Hamaguchi	66 0.5×	51 0.7×	30 0.6×	24 0.6×	23 0.7×	14	195
Gabriele Lombardi	88 0.7×	51 0.7×	79 1.5×	20 0.5×	63 1.8×	27	283

Countries citing papers authored by Markus Peura

Since Specialization

Citations

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

Fields of papers citing papers by Markus Peura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Peura

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