Teo Sušnjak
- Artificial Intelligence top 5%
- Computer Science Applications top 1%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Anuradha MathraniGomathy RamaswamiAndre L. C. BarczakTimothy R. McIntoshRahila UmerNapoleon H. ReyesPaul WattersTong Liu
- Topics
- Online Learning and Analytics (18 papers)Data Stream Mining Techniques (6 papers)Advanced Malware Detection Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessACM Computing Surveys
- Partner nations
- New ZealandAustraliaPakistan
In The Last Decade
Teo Sušnjak
58 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 383
- Computer Science Applications 313
- Information Systems 209
- Computer Vision and Pattern Recognition 138
- Computer Networks and Communications 112
Countries citing papers authored by Teo Sušnjak
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).
Fields of papers citing papers by Teo Sušnjak
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.
Co-authorship network of co-authors of Teo Sušnjak
This figure shows the co-authorship network connecting the top 25 collaborators of Teo Sušnjak. A scholar is included among the top collaborators of Teo Sušnjak 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 Teo Sušnjak. Teo Sušnjak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuningbreakdown → | 16 |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 39 | |
| 12 | 2 | |
| 13 | 54 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 53 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Characterizing Problem Gamblers in New Zealand: A Novel Expression of Process Cubes. | 1 |
About Teo Sušnjak
Teo Sušnjak is a scholar working on Health Informatics, Computer Science Applications and Pharmacy, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (18 papers), Data Stream Mining Techniques (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Health Informatics (108 citations), Computer Science Applications (313 citations) and Human-Computer Interaction (112 citations). Teo Sušnjak has collaborated with scholars based in New Zealand, Australia and Pakistan. Frequent co-authors include Anuradha Mathrani, Gomathy Ramaswami, Andre L. C. Barczak, Timothy R. McIntosh, Rahila Umer, Napoleon H. Reyes, Paul Watters, Tong Liu, Rory Bunker and Malka N. Halgamuge. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.
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.