Mika Käki

5 papers and 116 indexed citations i.

About

Mika Käki is a scholar working on Information Systems, Artificial Intelligence and Marketing. According to data from OpenAlex, Mika Käki has authored 5 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 2 papers in Artificial Intelligence and 1 paper in Marketing. Recurrent topics in Mika Käki’s work include Information Retrieval and Search Behavior (4 papers), Web Data Mining and Analysis (3 papers) and Recommender Systems and Techniques (2 papers). Mika Käki is often cited by papers focused on Information Retrieval and Search Behavior (4 papers), Web Data Mining and Analysis (3 papers) and Recommender Systems and Techniques (2 papers). Mika Käki collaborates with scholars based in Finland and United States. Mika Käki's co-authors include Anne Aula and has published in prestigious journals such as Information Processing & Management, Interacting with Computers and First Monday.

In The Last Decade

Co-authorship network of co-authors of Mika Käki i

Fields of papers citing papers by Mika Käki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mika Käki

Since Specialization
Citations

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

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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2025