Mojca Volk
Impact in
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- IoT and Edge/Fog Computing
- Network Traffic and Congestion Control
- Media Technology top 10%
- Smart Cities and Technologies
Papers in
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- Wireless Communication Networks Research 4
- IoT and Edge/Fog Computing 4
- Network Traffic and Congestion Control 4
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- Advanced MIMO Systems Optimization 4
- Co-authors
- Urban Sedlar (18 shared papers)Andrej Kos (13 shared papers)Janez Bešter (9 shared papers)Emilija Stojmenova Duh (2 shared papers)Jože Guna (3 shared papers)Anton Kos (2 shared papers)Min Chen (1 shared paper)Yixue Hao (1 shared paper)
In The Last Decade
Mojca Volk
25 papers receiving 437 citations
Peers
Comparison fields: 5 of 74
- Computer Networks and Communications 166
- Media Technology 55
- Computer Vision and Pattern Recognition 119
- Signal Processing 37
- Management of Technology and Innovation 23
Countries citing papers authored by Mojca Volk
This map shows the geographic impact of Mojca Volk'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 Mojca Volk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojca Volk more than expected).
Fields of papers citing papers by Mojca Volk
This network shows the impact of papers produced by Mojca Volk. 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 Mojca Volk. The network helps show where Mojca Volk may publish in the future.
Co-authors
The 16 scholars most cited alongside Mojca Volk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2020 | 68 | |
| 3 | 2014 | 55 | |
| 4 | 2010 | 44 | |
| 5 | 2021 | 29 | |
| 6 | 2008 | 23 | |
| 7 | 2017 | 21 | |
| 8 | 2009 | 19 | |
| 9 | 2011 | 17 | |
| 10 | 2015 | 15 | |
| 11 | Quality-Assured Provisioning of IPTV Services within the NGN Environment | 2008 | 14 |
| 12 | 2012 | 11 | |
| 13 | 2013 | 9 | |
| 14 | 2015 | 9 | |
| 15 | 2016 | 7 | |
| 16 | 2019 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 3 |
About Mojca Volk
Mojca Volk is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence, having authored 30 papers that have together received 457 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (5 papers), Wireless Communication Networks Research (4 papers), Advanced MIMO Systems Optimization (4 papers), IoT and Edge/Fog Computing (4 papers), Image and Video Quality Assessment (4 papers), Network Traffic and Congestion Control (4 papers), Mobile Health and mHealth Applications (3 papers) and Telecommunications and Broadcasting Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (166 citations), Media Technology (55 citations), Computer Vision and Pattern Recognition (119 citations), Signal Processing (37 citations) and Management of Technology and Innovation (23 citations). Mojca Volk has collaborated with scholars based in Slovenia, Kosovo and China. Frequent co-authors include Urban Sedlar, Andrej Kos, Janez Bešter, Emilija Stojmenova Duh, Jože Guna, Anton Kos, Min Chen, Yixue Hao, Iztok Humar and Long Hu. Their work appears in journals such as IEEE Communications Magazine, Sensors, ETRI Journal, Wireless Communications and Mobile Computing and Electronics.
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.