Markku Sakkinen

39 total papers · 485 total citations
22 papers, 266 citations indexed

About

Markku Sakkinen is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Markku Sakkinen has authored 22 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Markku Sakkinen's work include Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (5 papers) and Software Reliability and Analysis Research (5 papers). Markku Sakkinen is often cited by papers focused on Software Engineering Research (9 papers), Advanced Software Engineering Methodologies (5 papers) and Software Reliability and Analysis Research (5 papers). Markku Sakkinen collaborates with scholars based in Finland and Austria. Markku Sakkinen's co-authors include Reino Kurki-Suonio, Hannu-Matti Järvinen, Kari Systä, Artem Katasonov, Kai Koskimies, Petri Selonen, Jarmo J. Ahonen, Jouni Markkula, Gerti Kappel and Werner Retschitzegger and has published in prestigious journals such as Communications of the ACM, ACM SIGPLAN Notices and Empirical Software Engineering.

In The Last Decade

Markku Sakkinen

21 papers receiving 205 citations

Author Peers

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

Author						Papers	Cites
Markku Sakkinen	162	134	95	46	45	22	266
Thomas E. Bell	165 1.0×	128 1.0×	81 0.9×	67 1.5×	21 0.5×	24	297
Christine Choppy	113 0.7×	131 1.0×	91 1.0×	35 0.8×	94 2.1×	37	262
R. E. Kurt Stirewalt	221 1.4×	182 1.4×	128 1.3×	104 2.3×	30 0.7×	42	306
Leon G. Stucki	208 1.3×	79 0.6×	144 1.5×	78 1.7×	17 0.4×	13	320
Hajime Enomoto	135 0.8×	100 0.7×	88 0.9×	37 0.8×	21 0.5×	18	258
James Hook	111 0.7×	228 1.7×	113 1.2×	70 1.5×	70 1.6×	20	317
Hans Albrecht Schmid	145 0.9×	171 1.3×	53 0.6×	166 3.6×	17 0.4×	20	309
Jeff McAffer	113 0.7×	95 0.7×	47 0.5×	104 2.3×	14 0.3×	14	246
Tetsuo Tamai	199 1.2×	187 1.4×	87 0.9×	66 1.4×	18 0.4×	36	265
Antoine Beugnard	205 1.3×	233 1.7×	82 0.9×	104 2.3×	27 0.6×	17	320

Countries citing papers authored by Markku Sakkinen

Since Specialization

Citations

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

Fields of papers citing papers by Markku Sakkinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markku Sakkinen

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