Mario Kušek

1.0k citations
78 papers · 481 · h-index 11

Impact in

Papers in

Mario Kušek

73 papers receiving 444 citations

Peers

Mario Kušek
Comparison fields: 5 of 66
  • Computer Networks and Communications 297
  • Information Systems 102
  • Computer Vision and Pattern Recognition 92
  • Computer Science Applications 18
  • Electrical and Electronic Engineering 136
Replace Diogo Gomes with:
Diogo Gomes Portugal
Antonio M. Ortiz Spain
Romina Spalazzese Sweden
John Violos Greece
Takuo Suganuma Japan
Gordan Ježić Croatia
Muhammad Waseem Pakistan
Roger Immich Brazil
Thorsten Kramp Germany
Adrián Pekár Hungary
Mario Kušek relative to Diogo Gomes Portugal Diogo Gomes's profile →
Citations per field
00.5×1.5×
Diogo Gomes · 1×
Citations per year

Countries citing papers authored by Mario Kušek

Since Specialization
Citations

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

Fields of papers citing papers by Mario Kušek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Kušek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Kušek Line = papers co-authored together Mario Kušek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Energy consumption in android phones when using wireless communication technologies
201253
2 201636
3 201034
4
Basic principles of Machine-to-Machine communication and its impact on telecommunications industry
201124
5
A Performance Analysis of Multi-Agent Systems
200620
6 202320
7 201818
8 201915
9
Market, standardization, and regulation development in Machine-to-Machine communications
201214
10
Android/OSGi-based Machine-to-Machine context-aware system
201113
11 201212
12 202410
13 20218
14 20188
15 20238
16 20227
17 20127
18 20117
19 20037
20 20057

About Mario Kušek

Mario Kušek is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 78 papers that have together received 481 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (26 papers), Mobile Agent-Based Network Management (23 papers), Context-Aware Activity Recognition Systems (14 papers), Peer-to-Peer Network Technologies (14 papers), IoT Networks and Protocols (13 papers), Service-Oriented Architecture and Web Services (10 papers), Multi-Agent Systems and Negotiation (9 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Computer Networks and Communications (297 citations), Information Systems (102 citations), Computer Vision and Pattern Recognition (92 citations), Computer Science Applications (18 citations) and Electrical and Electronic Engineering (136 citations). Mario Kušek has collaborated with scholars based in Croatia, United Kingdom and Australia. Frequent co-authors include Gordan Ježić, Iva Bojić, Ivana Podnar Žarko, Vedran Podobnik, Darko Huljenić, Marin Vuković, Ignac Lovrek, Robert J. Howlett, Lakhmi C. Jain and Yun-Heh Chen-Burger. Their work appears in journals such as Sensors, Internet of Things, Applied Sciences, Information Sciences and Neurocomputing.

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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