Tomas Eklund

23 papers and 337 indexed citations i.

About

Tomas Eklund is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Tomas Eklund has authored 23 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 6 papers in Information Systems. Recurrent topics in Tomas Eklund’s work include Data Mining Algorithms and Applications (6 papers), Stock Market Forecasting Methods (6 papers) and Big Data and Business Intelligence (5 papers). Tomas Eklund is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Stock Market Forecasting Methods (6 papers) and Big Data and Business Intelligence (5 papers). Tomas Eklund collaborates with scholars based in Finland and South Korea. Tomas Eklund's co-authors include Barbro Back, Hannu Vanharanta, Ari Visa, Aapo Länsiluoto, Jonas Karlsson, Peter Sarlin, Antti Arppe, Annukka Jokipii, Yoon‐Seok Chang and Jussi Kantola and has published in prestigious journals such as Information & Management, Neural Computing and Applications and Managerial Auditing Journal.

In The Last Decade

Co-authorship network of co-authors of Tomas Eklund i

Fields of papers citing papers by Tomas Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomas Eklund

Since Specialization
Citations

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