Jonas Oppenlaender

59 total papers · 945 total citations
27 papers, 260 citations indexed

About

Jonas Oppenlaender is a scholar working on Computer Science Applications, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonas Oppenlaender has authored 27 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Science Applications, 10 papers in Human-Computer Interaction and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonas Oppenlaender's work include Mobile Crowdsensing and Crowdsourcing (12 papers), Innovative Human-Technology Interaction (10 papers) and Open Source Software Innovations (6 papers). Jonas Oppenlaender is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (12 papers), Innovative Human-Technology Interaction (10 papers) and Open Source Software Innovations (6 papers). Jonas Oppenlaender collaborates with scholars based in Finland, Australia and United States. Jonas Oppenlaender's co-authors include Simo Hosio, Aku Visuri, Johanna Silvennoinen, Rhema Linder, Jorge Gonçalves, Niels van Berkel, Thanassis Tiropanis, Panos Kostakos, Danula Hettiachchi and Maja Vuković and has published in prestigious journals such as Computer, Behaviour and Information Technology and Personal and Ubiquitous Computing.

In The Last Decade

Jonas Oppenlaender

24 papers receiving 252 citations

Author Peers

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

Author						Papers	Cites
Jonas Oppenlaender	50	50	48	44	32	27	260
Andrea Mauri	55 1.1×	20 0.4×	29 0.6×	53 1.2×	33 1.0×	32	209
Jeba Rezwana	70 1.4×	70 1.4×	43 0.9×	13 0.3×	12 0.4×	11	248
Janin Koch	39 0.8×	98 2.0×	71 1.5×	17 0.4×	16 0.5×	11	219
Tomas Trescak	62 1.2×	59 1.2×	47 1.0×	28 0.6×	15 0.5×	24	244
Rhema Linder	43 0.9×	92 1.8×	47 1.0×	35 0.8×	18 0.6×	21	253
Steve Tanimoto	37 0.7×	28 0.6×	27 0.6×	108 2.5×	41 1.3×	13	298
Tianyi Li	57 1.1×	11 0.2×	29 0.6×	26 0.6×	24 0.8×	40	307
Dan Conway	89 1.8×	28 0.6×	26 0.5×	15 0.3×	51 1.6×	15	314
Savvas Petridis	129 2.6×	43 0.9×	39 0.8×	10 0.2×	52 1.6×	16	253
Matteo Zallio	23 0.5×	108 2.2×	24 0.5×	6 0.1×	42 1.3×	23	306

Countries citing papers authored by Jonas Oppenlaender

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Oppenlaender

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Oppenlaender

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