Jorma Sajaniemi

81 total papers · 1.4k total citations
67 papers, 1000 citations indexed

About

Jorma Sajaniemi is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Jorma Sajaniemi has authored 67 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Science Applications, 29 papers in Developmental and Educational Psychology and 23 papers in Artificial Intelligence. Recurrent topics in Jorma Sajaniemi's work include Teaching and Learning Programming (42 papers), Educational Games and Gamification (28 papers) and Software Engineering Research (17 papers). Jorma Sajaniemi is often cited by papers focused on Teaching and Learning Programming (42 papers), Educational Games and Gamification (28 papers) and Software Engineering Research (17 papers). Jorma Sajaniemi collaborates with scholars based in Finland, Sweden and Israel. Jorma Sajaniemi's co-authors include Marja Kuittinen, Uolevi Nikula, Pertti Saariluoma, Seppo Nevalainen, Heikki Kälviäinen, Mordechai Ben‐Ari, Matti Tedre, Ludwik Kuźniarz, Pekka Savolainen and Markku Tukiainen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Ergonomics.

In The Last Decade

Jorma Sajaniemi

63 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Jorma Sajaniemi 669 390 362 344 232 67 1000
Mikko‐Jussi Laakso 802 1.2× 258 0.7× 400 1.1× 163 0.5× 98 0.4× 97 1.2k
Neil C. C. Brown 939 1.4× 408 1.0× 321 0.9× 284 0.8× 158 0.7× 64 1.2k
Errol Thompson 966 1.4× 340 0.9× 382 1.1× 197 0.6× 175 0.8× 22 1.1k
Myles McNally 907 1.4× 222 0.6× 452 1.2× 206 0.6× 155 0.7× 35 1.1k
Jan Erik Moström 1.0k 1.5× 280 0.7× 457 1.3× 152 0.4× 127 0.5× 43 1.2k
Amber Settle 827 1.2× 269 0.7× 375 1.0× 103 0.3× 126 0.5× 84 1.1k
Peter Hubwieser 806 1.2× 246 0.6× 390 1.1× 87 0.3× 63 0.3× 81 1.0k
Colin Higgins 493 0.7× 260 0.7× 112 0.3× 255 0.7× 230 1.0× 54 950
Owen Astrachan 721 1.1× 252 0.6× 228 0.6× 169 0.5× 208 0.9× 93 1.0k
Lillian Cassel 460 0.7× 406 1.0× 121 0.3× 37 0.1× 160 0.7× 126 892

Countries citing papers authored by Jorma Sajaniemi

Since Specialization
Citations

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

Fields of papers citing papers by Jorma Sajaniemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorma Sajaniemi

This figure shows the co-authorship network connecting the top 25 collaborators of Jorma Sajaniemi. A scholar is included among the top collaborators of Jorma Sajaniemi 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 Jorma Sajaniemi. Jorma Sajaniemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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