Behailu Negash
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
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- Context-Aware Activity Recognition Systems
Papers in
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- IoT and Edge/Fog Computing 7
- Caching and Content Delivery 2
- Software-Defined Networks and 5G 1
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- Context-Aware Activity Recognition Systems 5
- Co-authors
- Pasi Liljeberg (6 shared papers)Tuan Nguyen Gia (2 shared papers)Arman Anzanpour (1 shared paper)Iman Azimi (1 shared paper)Mingzhe Jiang (1 shared paper)Amir M. Rahmani (1 shared paper)Hannu Tenhunen (6 shared papers)Amir-Mohammad Rahmani (2 shared papers)
- Journals
- Future Generation Computer Systems (2 papers)Journal of Ambient Intelligence and Humanized Computing (1 paper)Journal of Parasitology Research (1 paper)Procedia Computer Science (2 papers)
In The Last Decade
Behailu Negash
8 papers receiving 1.1k citations
Behailu Negash's Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 849
- Computer Vision and Pattern Recognition 347
- Information Systems 357
- Health Information Management 67
- Biomedical Engineering 190
Countries citing papers authored by Behailu Negash
This map shows the geographic impact of Behailu Negash'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 Behailu Negash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behailu Negash more than expected).
Fields of papers citing papers by Behailu Negash
This network shows the impact of papers produced by Behailu Negash. 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 Behailu Negash. The network helps show where Behailu Negash may publish in the future.
Co-authors
The 13 scholars most cited alongside Behailu Negash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach Hit paper breakdown → | 2017 | 808 |
| 2 | 2015 | 233 | |
| 3 | 2018 | 26 | |
| 4 | 2015 | 22 | |
| 5 | 2017 | 20 | |
| 6 | 2016 | 12 | |
| 7 | 2017 | 5 | |
| 8 | 2023 | 3 |
About Behailu Negash
Behailu Negash is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Biomedical Engineering and Small Animals, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Context-Aware Activity Recognition Systems (5 papers), Wireless Body Area Networks (2 papers), Caching and Content Delivery (2 papers), Parasites and Host Interactions (1 paper), Cloud Computing and Resource Management (1 paper), Software-Defined Networks and 5G (1 paper) and Helminth infection and control (1 paper). The work is most often cited by research in Computer Networks and Communications (849 citations), Computer Vision and Pattern Recognition (347 citations), Information Systems (357 citations), Health Information Management (67 citations) and Biomedical Engineering (190 citations). Behailu Negash has collaborated with scholars based in Finland, Sweden and Austria. Frequent co-authors include Pasi Liljeberg, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Amir M. Rahmani, Hannu Tenhunen, Amir-Mohammad Rahmani, José Granados and Nanda Kumar Thanigaivelan. Their work appears in journals such as Future Generation Computer Systems, Journal of Ambient Intelligence and Humanized Computing, Journal of Parasitology Research and Procedia Computer Science.
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.