Juha Sorva

2.3k total citations
48 papers, 1.3k citations indexed

About

Juha Sorva is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Software. According to data from OpenAlex, Juha Sorva has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Science Applications, 28 papers in Developmental and Educational Psychology and 12 papers in Software. Recurrent topics in Juha Sorva's work include Teaching and Learning Programming (40 papers), Educational Games and Gamification (23 papers) and Online Learning and Analytics (15 papers). Juha Sorva is often cited by papers focused on Teaching and Learning Programming (40 papers), Educational Games and Gamification (23 papers) and Online Learning and Analytics (15 papers). Juha Sorva collaborates with scholars based in Finland, United States and Australia. Juha Sorva's co-authors include Lauri Malmi, Teemu Sirkiä, Ville Karavirta, Rodrigo Duran, Otto Seppälä, Arto Vihavainen, Petri Ihantola, Ari Korhonen, Lynda Thomas and Jerry Mead and has published in prestigious journals such as ACM Transactions on Computing Education, Journal of Information Technology Education Research and Computer Science Education.

In The Last Decade

Juha Sorva

46 papers receiving 1.2k citations

Peers

Countries citing papers authored by Juha Sorva

Since Specialization

Citations

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

Fields of papers citing papers by Juha Sorva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Sorva

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Two Approaches for Programming Education in the Domain of Graphics: An Experiment 2025 ·Aaltodoc (Aalto University) ·(unknown), Juha Sorva, Arto Hellas, Otto Seppälä, Matthias Hauswirth	0
2	Students Struggle with Concepts in Dijkstra's Algorithm 2024 ·Aaltodoc (Aalto University) ·(unknown), Juha Sorva, Otto Seppälä, Ari Korhonen	2
3	Cognitive Load Theory in Computing Education Research: A Review 2022 ·ACM Transactions on Computing Education ·Rodrigo Duran, (unknown), Juha Sorva	31
4	Measuring the Cognitive Load of Learning to Program: A Replication Study 2020 ·Aaltodoc (Aalto University) ·(unknown), Rodrigo Duran, Arto Hellas, Otto Seppälä, Juha Sorva	10
5	Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study 2020 ·Aaltodoc (Aalto University) ·(unknown), Arto Hellas, Otto Seppälä, Juha Sorva	7
6	Crowdsourcing in Computing Education Research: Case Amazon MTurk 2020 ·Aaltodoc (Aalto University) ·Arto Hellas, (unknown), Juha Sorva	8
7	Notional Machines for Scratch and Python 2019 ·Otto Seppälä, Rodrigo Duran, Brett A. Becker, Paul Denny, (unknown), Thomas Ball, J. Ángel Velázquez‐Iturbide, Juha Sorva	2
8	Exploring the Value of Student Self-Evaluation in Introductory Programming 2019 ·Aaltodoc (Aalto University) ·Rodrigo Duran, (unknown), Juha Sorva, Arto Hellas	16
9	Towards an Analysis of Program Complexity From a Cognitive Perspective 2018 ·Rodrigo Duran, Juha Sorva, (unknown)	28
10	Benchmarking Introductory Programming Exams 2016 ·UvA-DARE (University of Amsterdam) ·Norma P. Simon, Judy Sheard, Daryl D’Souza, (unknown), Leo Porter, Juha Sorva, (unknown), Daniel Zingaro	4
11	Do we know how difficult the rainfall problem is? 2015 ·Otto Seppälä, Petri Ihantola, Essi Isohanni, Juha Sorva, Arto Vihavainen	48
12	Tailoring animations of example programs 2015 ·Teemu Sirkiä, Juha Sorva	4
13	Research-based design of the first weeks of CS1 2014 ·Juha Sorva, Otto Seppälä	18
14	Automatically detectable indicators of programming assignment difficulty 2014 ·Petri Ihantola, Juha Sorva, Arto Vihavainen	19
15	Characterizing research in computing education 2010 ·Lauri Malmi, Judy Sheard, Norma P. Simon, Roman Bednarik, Juha Helminen, Ari Korhonen, Niko Myller, Juha Sorva, (unknown)	42
16	UUhistle 2010 ·Juha Sorva, Teemu Sirkiä	60
17	Reflections on threshold concepts in computer programming and beyond 2010 ·Juha Sorva	33
18	Students' understandings of storing objects 2007 ·Juha Sorva	15
19	Roles of Variables in Teaching 2007 ·Informing Science and IT Education Conference ·Juha Sorva, Ville Karavirta, Ari Korhonen	2
20	A cognitive approach to identifying measurable milestones for programming skill acquisition 2006 ·Jerry Mead, Simon Gray, John Hamer, Richard James, Juha Sorva, (unknown), Lynda Thomas	27

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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