Nikolas Wehner
Impact in
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- Image and Video Quality Assessment
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- Network Traffic and Congestion Control
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Image and Video Quality Assessment 31
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- Network Traffic and Congestion Control 14
- Software-Defined Networks and 5G 3
- Network Security and Intrusion Detection 2
- Co-authors
- Pedro Casas (30 shared papers)Michael Seufert (41 shared papers)Raimund Schatz (7 shared papers)Kuang Li (2 shared papers)Tobias Hoßfeld (22 shared papers)Florian Wamser (6 shared papers)Phuoc Tran‐Gia (3 shared papers)Bruno Gardlo (3 shared papers)
In The Last Decade
Nikolas Wehner
39 papers receiving 333 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 194
- Computer Networks and Communications 131
- Artificial Intelligence 47
- Information Systems 32
- Hardware and Architecture 9
Countries citing papers authored by Nikolas Wehner
This map shows the geographic impact of Nikolas Wehner'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 Nikolas Wehner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolas Wehner more than expected).
Fields of papers citing papers by Nikolas Wehner
This network shows the impact of papers produced by Nikolas Wehner. 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 Nikolas Wehner. The network helps show where Nikolas Wehner may publish in the future.
Co-authors
The 21 scholars most cited alongside Nikolas Wehner, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 47 | |
| 2 | 2019 | 31 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 23 | |
| 5 | 2019 | 23 | |
| 6 | 2017 | 21 | |
| 7 | 2019 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 8 | |
| 14 | Beauty is in the Eye of the Smartphone Holder - A Data Driven Analysis of YouTube Mobile QoE | 2018 | 6 |
| 15 | 2020 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 4 |
About Nikolas Wehner
Nikolas Wehner is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 44 papers that have together received 335 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (31 papers), Network Traffic and Congestion Control (14 papers), Explainable Artificial Intelligence (XAI) (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Mobile and Web Applications (3 papers), Software-Defined Networks and 5G (3 papers), Network Security and Intrusion Detection (2 papers) and Network Packet Processing and Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Computer Networks and Communications (131 citations), Artificial Intelligence (47 citations), Information Systems (32 citations) and Hardware and Architecture (9 citations). Nikolas Wehner has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Pedro Casas, Michael Seufert, Raimund Schatz, Kuang Li, Tobias Hoßfeld, Florian Wamser, Phuoc Tran‐Gia, Bruno Gardlo, Alessandro D’Alconzo and Andreas Hotho A. Their work appears in journals such as IEEE Access, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Network and Service Management, Computer Networks and IEEE Communications Surveys & Tutorials.
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.