Vito Janko

411 total citations
21 papers, 299 citations indexed

About

Vito Janko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Vito Janko has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Vito Janko's work include Context-Aware Activity Recognition Systems (13 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Gait Recognition and Analysis (4 papers). Vito Janko is often cited by papers focused on Context-Aware Activity Recognition Systems (13 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Gait Recognition and Analysis (4 papers). Vito Janko collaborates with scholars based in Slovenia, United Kingdom and Belgium. Vito Janko's co-authors include Mitja Luštrek, Božidara Cvetković, Martin Gjoreski, Matjaž Gams, Robert Szeklicki, Gašper Slapničar, Kostas Stathis, Anton Gradišek, Özgür Kafalı and Alfonso E. Romero and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Information Fusion.

In The Last Decade

Vito Janko

21 papers receiving 293 citations

Peers

Vito Janko

CVPR

TRANS

BE

AI

CNC

Božidara Cvetković Slovenia

Manhyung Han South Korea

Stefan Dernbach United States

Boštjan Kaluža Slovenia

Sreenivasan Ramasamy Ramamurthy United States

Sungyong Lee South Korea

Hongbo Ni China

Jie Wan China

Francisco Morales United Kingdom

Tahera Hossain Japan

Božidara Cvetković Slovenia

Vito Janko

185 ×1.0

CVPR

30 ×0.3

TRANS

93 ×1.2

BE

49 ×0.8

AI

53 ×1.2

CNC

Citations per year, relative to Vito Janko Vito Janko (= 1×) peers Božidara Cvetković

Countries citing papers authored by Vito Janko

Since Specialization

Citations

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

Fields of papers citing papers by Vito Janko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Janko

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Janko. A scholar is included among the top collaborators of Vito Janko 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 Vito Janko. Vito Janko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Janko, Vito, Tea Tušar, Anton Gradišek, et al.. (2023). Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence. Frontiers in Public Health. 11. 1073581–1073581. 5 indexed citations

2.

Janko, Vito, et al.. (2022). What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors. 22(10). 3613–3613. 4 indexed citations

3.

Janko, Vito, Gašper Slapničar, Erik Dovgan, et al.. (2021). Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19. International Journal of Environmental Research and Public Health. 18(13). 6750–6750. 4 indexed citations

4.

Janko, Vito, et al.. (2020). Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. 323–328. 12 indexed citations

5.

Gjoreski, Martin, et al.. (2020). Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Information Fusion. 62. 47–62. 66 indexed citations

6.

Janko, Vito, et al.. (2019). Cross-location transfer learning for the sussex-huawei locomotion recognition challenge. 730–735. 17 indexed citations

7.

Janko, Vito & Mitja Luštrek. (2019). Cost-Sensitive Trees for Energy-Efficient Context Recognition. 64–67. 1 indexed citations

8.

Janko, Vito & Mitja Luštrek. (2018). Choosing Duty-Cycle Parameters for Context Recognition. 83–86. 2 indexed citations

9.

Gjoreski, Martin, et al.. (2018). Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. 1488–1496. 18 indexed citations

10.

Janko, Vito, et al.. (2018). A New Frontier for Activity Recognition. 1511–1520. 29 indexed citations

11.

Janko, Vito & Mitja Luštrek. (2017). Energy-efficient data collection for context recognition. 458–463. 3 indexed citations

12.

Janko, Vito & Mitja Luštrek. (2017). Using Markov Chains and Multi-Objective Optimization for Energy-Efficient Context Recognition. Sensors. 18(1). 80–80. 3 indexed citations

13.

Janko, Vito, et al.. (2017). e-Gibalec: Mobile application to monitor and encourage physical activity in schoolchildren. Journal of Ambient Intelligence and Smart Environments. 9(5). 595–609. 14 indexed citations

14.

Cvetković, Božidara, et al.. (2017). Real-time activity monitoring with a wristband and a smartphone. Information Fusion. 43. 77–93. 63 indexed citations

15.

Cvetković, Božidara, Vito Janko, Alfonso E. Romero, et al.. (2016). Activity Recognition for Diabetic Patients Using a Smartphone. Journal of Medical Systems. 40(12). 256–256. 24 indexed citations

16.

Janko, Vito, et al.. (2016). A program for Progressive chess. Theoretical Computer Science. 644. 76–91. 1 indexed citations

17.

Janko, Vito, et al.. (2016). Mobile Application to Stimulate Physical Activity in Schoolchildren. 206–209. 5 indexed citations

18.

Cvetković, Božidara, Hristijan Gjoreski, Vito Janko, et al.. (2016). e-Turist: An Intelligent Personalised Trip Guide. 40(4). 7 indexed citations

19.

Cvetković, Božidara, Vito Janko, & Mitja Luštrek. (2015). Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone. 8. 193–195. 13 indexed citations

20.

Cvetković, Božidara, et al.. (2015). Recognition of high-level activities with a smartphone. 1453–1461. 6 indexed citations

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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