Arif Ahmed
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Ejaz AhmedIbrar YaqoobWazir Zada KhanSaqib HakakMohamed HashemS. M. Ahsan KazmiChoong Seon HongRipon Patgiri
- Topics
- IoT and Edge/Fog Computing (8 papers)Cloud Computing and Resource Management (5 papers)IoT Networks and Protocols (3 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- IEEE Communications MagazineFuture Generation Computer SystemsDigital Communications and Networks
- Partner nations
- IndiaMalaysiaSaudi Arabia
In The Last Decade
Arif Ahmed
13 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 1.2k
- Information Systems 640
- Electrical and Electronic Engineering 411
- Computer Vision and Pattern Recognition 302
- Artificial Intelligence 254
Countries citing papers authored by Arif Ahmed
This map shows the geographic impact of Arif Ahmed'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 Arif Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arif Ahmed more than expected).
Fields of papers citing papers by Arif Ahmed
This network shows the impact of papers produced by Arif Ahmed. 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 Arif Ahmed. The network helps show where Arif Ahmed may publish in the future.
Co-authorship network of co-authors of Arif Ahmed
This figure shows the co-authorship network connecting the top 25 collaborators of Arif Ahmed. A scholar is included among the top collaborators of Arif Ahmed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arif Ahmed. Arif Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | Edge computing: A surveybreakdown → | 713 |
| 5 | Internet of things forensics: Recent advances, taxonomy, requirements, and open challengesbreakdown → | 210 |
| 6 | 149 | |
| 7 | 55 | |
| 8 | A survey on mobile edge computingbreakdown → | 437 |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 52 | |
| 12 | Understanding and Conducting Information Systems Auditing | 3 |
| 13 | 7 |
About Arif Ahmed
Arif Ahmed is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Cloud Computing and Resource Management (5 papers) and IoT Networks and Protocols (3 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (640 citations) and Computer Vision and Pattern Recognition (302 citations). Arif Ahmed has collaborated with scholars based in India, Malaysia and Saudi Arabia. Frequent co-authors include Ejaz Ahmed, Ibrar Yaqoob, Wazir Zada Khan, Saqib Hakak, Mohamed Hashem, S. M. Ahsan Kazmi, Choong Seon Hong, Ripon Patgiri, Muhammad Imran and Abdullah Gani. Their work appears in journals such as IEEE Communications Magazine, Future Generation Computer Systems and Digital Communications and Networks.
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.