Mojca Volk
Impact in
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- IoT and Edge/Fog Computing
- Network Traffic and Congestion Control
- Media Technology top 5%
- Smart Cities and Technologies
Papers in
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- IoT and Edge/Fog Computing 5
- Wireless Communication Networks Research 4
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- Advanced MIMO Systems Optimization 4
- Power Line Communications and Noise 4
- Co-authors
- Urban Sedlar (20 shared papers)Andrej Kos (15 shared papers)Janez Bešter (12 shared papers)Emilija Stojmenova Duh (2 shared papers)Jože Guna (3 shared papers)Anton Kos (2 shared papers)Long Hu (1 shared paper)Min Chen (1 shared paper)
In The Last Decade
Mojca Volk
30 papers receiving 510 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 206
- Media Technology 67
- Computer Vision and Pattern Recognition 134
- Management of Technology and Innovation 27
- Signal Processing 38
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 25 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2020 | 81 | |
| 3 | 2014 | 57 | |
| 4 | 2010 | 47 | |
| 5 | 2021 | 31 | |
| 6 | 2008 | 25 | |
| 7 | 2009 | 24 | |
| 8 | 2011 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2015 | 17 | |
| 11 | Quality-Assured Provisioning of IPTV Services within the NGN Environment | 2008 | 14 |
| 12 | 2012 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2019 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2020 | 4 |
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 Media Technology, having authored 35 papers that have together received 532 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (5 papers), IoT and Edge/Fog Computing (5 papers), Wireless Communication Networks Research (4 papers), Advanced MIMO Systems Optimization (4 papers), Mobile Health and mHealth Applications (4 papers), Telecommunications and Broadcasting Technologies (4 papers), Power Line Communications and Noise (4 papers) and Image and Video Quality Assessment (4 papers). The work is most often cited by research in Computer Networks and Communications (206 citations), Media Technology (67 citations), Computer Vision and Pattern Recognition (134 citations), Management of Technology and Innovation (27 citations) and Signal Processing (38 citations). Mojca Volk has collaborated with scholars based in Slovenia, Kosovo and Greece. Frequent co-authors include Urban Sedlar, Andrej Kos, Janez Bešter, Emilija Stojmenova Duh, Jože Guna, Anton Kos, Long Hu, Min Chen, Iztok Humar and Yixue Hao. Their work appears in journals such as Sensors, IEEE Communications Magazine, ETRI Journal, Computer Modeling in Engineering & Sciences and IEEE Network.
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.