Timo Käkölä

70 total papers · 435 total citations
41 papers, 276 citations indexed

About

Timo Käkölä is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Timo Käkölä has authored 41 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 25 papers in Management Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Timo Käkölä's work include Software Engineering Techniques and Practices (15 papers), Business Process Modeling and Analysis (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Timo Käkölä is often cited by papers focused on Software Engineering Techniques and Practices (15 papers), Business Process Modeling and Analysis (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Timo Käkölä collaborates with scholars based in Finland, Austria and Netherlands. Timo Käkölä's co-authors include Juan C. Dueñas, Ahti Salo, Nazmun Nahar, A.K.M. Najmul Islam, Hannu Vanharanta, Fan Jiang, Andrea Leitner and Stefan Smolnik and has published in prestigious journals such as Journal of Management Information Systems, Journal of the Association for Information Systems and Journal of Organizational Computing and Electronic Commerce.

In The Last Decade

Timo Käkölä

37 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Timo Käkölä 166 119 94 54 34 41 276
Herwig Mannaert 151 0.9× 77 0.6× 86 0.9× 19 0.4× 30 0.9× 48 300
W.L. Yeung 116 0.7× 67 0.6× 88 0.9× 75 1.4× 35 1.0× 30 300
Albertas Čaplinskas 130 0.8× 98 0.8× 65 0.7× 54 1.0× 31 0.9× 31 290
Douglas B. Bock 110 0.7× 78 0.7× 75 0.8× 43 0.8× 49 1.4× 16 331
Peter H. Carstensen 109 0.7× 59 0.5× 49 0.5× 72 1.3× 27 0.8× 24 279
Peter Aiken 143 0.9× 99 0.8× 65 0.7× 46 0.9× 72 2.1× 31 329
Lila Rao 100 0.6× 96 0.8× 82 0.9× 31 0.6× 11 0.3× 32 282
Jessica Keyes 86 0.5× 67 0.6× 36 0.4× 31 0.6× 22 0.6× 38 246
Damjan Vavpotič 144 0.9× 79 0.7× 30 0.3× 47 0.9× 15 0.4× 33 310
Fiorella De Cindio 62 0.4× 62 0.5× 51 0.5× 55 1.0× 20 0.6× 40 258

Countries citing papers authored by Timo Käkölä

Since Specialization
Citations

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

Fields of papers citing papers by Timo Käkölä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Käkölä

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