Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Ensemble machine learning approach for classification of IoT devices in smart home
2021164 citationsIvan Cvitić, Dragan Peraković et al.International Journal of Machine Learning and Cyberneticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Marko Periša'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 Marko Periša with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Periša more than expected).
This network shows the impact of papers produced by Marko Periša. 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 Marko Periša. The network helps show where Marko Periša may publish in the future.
Co-authorship network of co-authors of Marko Periša
This figure shows the co-authorship network connecting the top 25 collaborators of Marko Periša.
A scholar is included among the top collaborators of Marko Periša 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 Marko Periša. Marko Periša is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cvitić, Ivan, Dragan Peraković, Marko Periša, & Brij B. Gupta. (2021). Ensemble machine learning approach for classification of IoT devices in smart home. International Journal of Machine Learning and Cybernetics. 12(11). 3179–3202.164 indexed citations breakdown →
Peraković, Dragan, et al.. (2015). Possibilities of implementing Ambient Assisted Living concept in traffic environment. 8(1). 30–34.3 indexed citations
18.
Periša, Marko, et al.. (2014). Recommendations for the Development of Information and Communication Services for Increasing Mobility of Visually Impaired Persons. 103.2 indexed citations
Periša, Marko, et al.. (2012). Guidelines for Developing e-Learning System for Visually Impaired. 167.4 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.