Perttu Laurinen

32 total papers · 468 total citations
27 papers, 337 citations indexed

About

Perttu Laurinen is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Perttu Laurinen has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Mechanical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Perttu Laurinen's work include Time Series Analysis and Forecasting (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Non-Destructive Testing Techniques (4 papers). Perttu Laurinen is often cited by papers focused on Time Series Analysis and Forecasting (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Non-Destructive Testing Techniques (4 papers). Perttu Laurinen collaborates with scholars based in Finland. Perttu Laurinen's co-authors include Juha Röning, Pekka Siirtola, Heli Koskimäki, Hannu Kinnunen, Ville Huikari, Eija Haapalainen, Norbert Link, Heidi Jurvelin and Jaakko Suutala and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Journal of Materials Processing Technology and Pattern Recognition Letters.

In The Last Decade

Perttu Laurinen

24 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Perttu Laurinen	106	99	71	56	51	27	337
Michael J. Roan	33 0.3×	52 0.5×	87 1.2×	86 1.5×	31 0.6×	40	345
Muhammad Yahya	153 1.4×	85 0.9×	40 0.6×	13 0.2×	18 0.4×	19	384
Young-Seok Kim	147 1.4×	33 0.3×	28 0.4×	32 0.6×	14 0.3×	55	395
Máté Tóth	75 0.7×	42 0.4×	101 1.4×	20 0.4×	54 1.1×	22	388
Wahyu Rahmaniar	163 1.5×	52 0.5×	80 1.1×	9 0.2×	19 0.4×	31	400
Kai Tang	118 1.1×	75 0.8×	120 1.7×	25 0.4×	14 0.3×	35	352
Deokwoo Jung	111 1.0×	49 0.5×	47 0.7×	33 0.6×	32 0.6×	21	377
Yoshiki Mizukami	257 2.4×	35 0.4×	79 1.1×	55 1.0×	17 0.3×	25	357
Varun Tiwari	87 0.8×	72 0.7×	51 0.7×	30 0.5×	14 0.3×	29	306
Muhammad Ilyas	80 0.8×	54 0.5×	57 0.8×	11 0.2×	54 1.1×	44	377

Countries citing papers authored by Perttu Laurinen

Since Specialization

Citations

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

Fields of papers citing papers by Perttu Laurinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Perttu Laurinen

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