Markus Peura

431 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), Neural Networks and Applications (5 papers) and Meteorological Phenomena and Simulations (5 papers). Markus Peura is often cited by papers focused on Precipitation Measurement and Analysis (6 papers), Neural Networks and Applications (5 papers) and Meteorological Phenomena and Simulations (5 papers). Markus Peura collaborates with scholars based in Finland, Sweden and Canada. Markus Peura's co-authors include Jukka Iivarinen, Ari Visa, Jaakko Särelä, David B. Wolff, Jarmo Koistinen, Maik Heistermann, Scott Giangrande, Daniel Michelson, Jonathan Helmus and Mike Dixon 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

Peers

Markus Peura

CVPR

AS

AI

EE

GPC

Bin Tian China

Piotr Biliński Poland

Garima Yadav India

Georges Stamon France

Zhangye Wang China

Ryuhei Hamaguchi Japan

Chengqian Zhang China

Eric Rigall China

Ritwik Gupta United States

Bin Tian China

Markus Peura

70 ×0.6

CVPR

32 ×0.5

AS

84 ×1.6

AI

23 ×0.6

EE

27 ×0.8

GPC

Citations per year, relative to Markus Peura Markus Peura (= 1×) peers Bin Tian

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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16 of 16 papers shown

1.

Peura, Markus. (2017). OPERA - Harmonizing the European Weather Radar Network. 1 indexed citations

2.

Heistermann, Maik, Scott Collis, Mike Dixon, et al.. (2014). The Emergence of Open-Source Software for the Weather Radar Community. Bulletin of the American Meteorological Society. 96(1). 117–128. 45 indexed citations

3.

Peura, Markus. (2012). Rack - a program for anomaly detection, product generation, and compositing. 4 indexed citations

4.

Lahtinen, J., et al.. (2010). BALTRAD – An advanced weather radar network for the Baltic Sea Region meteorological institutes and authorities. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations

5.

Peura, Markus, et al.. (2009). An advanced weather radar network for the Baltic Sea Region [abstract]. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 1 indexed citations

6.

Peura, Markus & Harri Hohti. (2004). Optical flow in radar images. 454–458. 5 indexed citations

7.

Donovan, E., et al.. (2003). Using attribute trees to analyse auroral appearance over Canada. 289–295. 5 indexed citations

8.

Peura, Markus, Elena Saltikoff, & M. Syrjäsuo. (2003). Image analysis by means of attribute trees-remote sensing applications. 1. 696–698. 1 indexed citations

9.

Peura, Markus. (2003). Attribute trees in image analysis - heuristic matching and learning techniques. 1160–1165. 5 indexed citations

10.

Peura, Markus. (2002). Computer vision methods for anomaly removal. 312–317. 18 indexed citations

11.

Peura, Markus. (2001). Attribute trees as adaptive object models in image analysis. Aaltodoc (Aalto University). 2 indexed citations

12.

Peura, Markus. (1999). The self-organizing map of attribute trees. 1999. 168–173. 4 indexed citations

13.

Peura, Markus. (1998). The Self-Organizing Map of Trees. Neural Processing Letters. 8(2). 155–162. 9 indexed citations

14.

Iivarinen, Jukka, Markus Peura, Jaakko Särelä, & Ari Visa. (1997). Comparison of Combined Shape Descriptors for Irregular Objects.. British Machine Vision Conference. 43 indexed citations

15.

Peura, Markus & Jukka Iivarinen. (1997). Efficiency of Simple Shape Descriptors. 113 indexed citations

16.

Peura, Markus, et al.. (1996). A new approach to land-based cloud classification. 143–147 vol.4. 14 indexed citations

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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