Teo Sušnjak

About

Teo Sušnjak is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Teo Sušnjak has authored 47 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 14 papers in Computer Science Applications and 12 papers in Information Systems. Recurrent topics in Teo Sušnjak’s work include Online Learning and Analytics (14 papers), Adaptation to Concept Drift in Data Streams (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Teo Sušnjak is often cited by papers focused on Online Learning and Analytics (14 papers), Adaptation to Concept Drift in Data Streams (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Teo Sušnjak collaborates with scholars based in New Zealand, Australia and Japan. Teo Sušnjak's co-authors include Anuradha Mathrani, Andre L. C. Barczak, Timothy R. McIntosh, Rahila Umer, Mohammad A. Rashid, Rory Bunker, N. Ahmed, Paul Watters, Tong Liu and Malka N. Halgamuge and has published in prestigious journals such as Energy and Buildings, IEEE Access and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Teo Sušnjak i

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Fields of papers citing papers by Teo Sušnjak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teo Sušnjak

Since Specialization

Citations

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