Kashif Dar
Impact in
-
- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Opportunistic and Delay-Tolerant Networks
- Information Systems top 10%
- Service-Oriented Architecture and Web Services
Papers in
-
- IoT and Edge/Fog Computing 2
- Opportunistic and Delay-Tolerant Networks 2
- Mobile Ad Hoc Networks 2
- Software System Performance and Reliability 1
- Software-Defined Networks and 5G 1
-
- Vehicular Ad Hoc Networks (VANETs) 3
- Co-authors
- Jaafar Gaber (3 shared papers)Mohamed Bakhouya (3 shared papers)Maxime Wack (3 shared papers)Pascal Lorenz (1 shared paper)Frank Eliassen (4 shared papers)Amir Taherkordi (2 shared papers)Romain Rouvoy (2 shared papers)Kurt Geihs (1 shared paper)
- Journals
- Pervasive and Mobile Computing (1 paper)IEEE Communications Magazine (1 paper)Journal of drug targeting (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
In The Last Decade
Kashif Dar
9 papers receiving 334 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 208
- Information Systems 92
- Automotive Engineering 37
- Electrical and Electronic Engineering 174
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Kashif Dar
This map shows the geographic impact of Kashif Dar'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 Kashif Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kashif Dar more than expected).
Fields of papers citing papers by Kashif Dar
This network shows the impact of papers produced by Kashif Dar. 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 Kashif Dar. The network helps show where Kashif Dar may publish in the future.
Co-authors
The 17 scholars most cited alongside Kashif Dar, 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 | 2010 | 196 | |
| 2 | 2014 | 61 | |
| 3 | 2011 | 33 | |
| 4 | 2011 | 21 | |
| 5 | 2016 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2010 | 3 | |
| 8 | MagicNET: Secure communication methodology for mobile agents | 2010 | 2 |
| 9 | 2009 | 1 |
About Kashif Dar
Kashif Dar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Biomedical Engineering, having authored 9 papers that have together received 350 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), IoT and Edge/Fog Computing (2 papers), Advanced Software Engineering Methodologies (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Mobile Ad Hoc Networks (2 papers), Software System Performance and Reliability (1 paper) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Computer Networks and Communications (208 citations), Information Systems (92 citations), Automotive Engineering (37 citations), Electrical and Electronic Engineering (174 citations) and Computer Vision and Pattern Recognition (46 citations). Kashif Dar has collaborated with scholars based in France, Norway and Germany. Frequent co-authors include Jaafar Gaber, Mohamed Bakhouya, Maxime Wack, Pascal Lorenz, Frank Eliassen, Amir Taherkordi, Romain Rouvoy, Kurt Geihs, Amirhosein Taherkordi and Roman Vitenberg. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Communications Magazine, Journal of drug targeting and HAL (Le Centre pour la Communication Scientifique Directe).
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.