Johan Ivar Sæbø

76 total papers · 1.0k total citations
34 papers, 307 citations indexed

About

Johan Ivar Sæbø is a scholar working on Information Systems, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Johan Ivar Sæbø has authored 34 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Sociology and Political Science and 7 papers in General Health Professions. Recurrent topics in Johan Ivar Sæbø's work include Mobile Health and mHealth Applications (7 papers), Information Systems Theories and Implementation (6 papers) and Innovative Approaches in Technology and Social Development (6 papers). Johan Ivar Sæbø is often cited by papers focused on Mobile Health and mHealth Applications (7 papers), Information Systems Theories and Implementation (6 papers) and Innovative Approaches in Technology and Social Development (6 papers). Johan Ivar Sæbø collaborates with scholars based in Norway, United Kingdom and Uganda. Johan Ivar Sæbø's co-authors include Jørn Βraa, Petter Nielsen, Elaine Byrne, Sundeep Sahay, Brian Nicholson, Sune Dueholm Müller, Jens Kaasbøll, Eric Monteiro, Ayub Manya and Andrew S. Kanter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and Journal of the Association for Information Systems.

In The Last Decade

Johan Ivar Sæbø

32 papers receiving 283 citations

Author Peers

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

Author Last Decade Papers Cites
Johan Ivar Sæbø 72 72 69 57 56 34 307
José Leopoldo Nhampossa 68 0.9× 103 1.4× 114 1.7× 98 1.7× 51 0.9× 13 345
Miria Grisot 56 0.8× 29 0.4× 130 1.9× 44 0.8× 39 0.7× 39 365
Matthew W. Guah 43 0.6× 28 0.4× 110 1.6× 58 1.0× 67 1.2× 25 318
Chad Anderson 37 0.5× 66 0.9× 131 1.9× 19 0.3× 15 0.3× 25 357
Yannis Pollalis 28 0.4× 43 0.6× 36 0.5× 25 0.4× 8 0.1× 42 349
Juma Lungo 25 0.3× 42 0.6× 28 0.4× 83 1.5× 25 0.4× 25 260
Jens Kaasbøll 45 0.6× 70 1.0× 38 0.6× 21 0.4× 19 0.3× 50 292
Ruba Aljafari 24 0.3× 54 0.8× 105 1.5× 53 0.9× 9 0.2× 16 328
Jennifer Percival 50 0.7× 25 0.3× 35 0.5× 7 0.1× 21 0.4× 65 349
Geoffrey Mayoka Kituyi 34 0.5× 64 0.9× 42 0.6× 16 0.3× 7 0.1× 29 287

Countries citing papers authored by Johan Ivar Sæbø

Since Specialization
Citations

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

Fields of papers citing papers by Johan Ivar Sæbø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Ivar Sæbø. 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 Johan Ivar Sæbø. The network helps show where Johan Ivar Sæbø may publish in the future.

Co-authorship network of co-authors of Johan Ivar Sæbø

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Ivar Sæbø. A scholar is included among the top collaborators of Johan Ivar Sæbø 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 Johan Ivar Sæbø. Johan Ivar Sæbø 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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