Mohammed Joda Usman
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Mohammed AbdullahiAhmed AliyuShafi’i Muhammad AbdulhamidOmprakash KaiwartyaSyed Hamid Hussain MadniMuhammad Shafie Abd LatiffAbdul Hanan AbdullahYue Cao
- Topics
- IoT and Edge/Fog Computing (10 papers)Cloud Computing and Resource Management (9 papers)Vehicular Ad Hoc Networks (VANETs) (7 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsElectrical and Electronic Engineering
- Journals
- PLoS ONEIEEE AccessApplied Sciences
- Partner nations
- MalaysiaNigeriaUnited Kingdom
In The Last Decade
Mohammed Joda Usman
20 papers receiving 415 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 327
- Information Systems 218
- Electrical and Electronic Engineering 142
- Artificial Intelligence 68
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Mohammed Joda Usman
This map shows the geographic impact of Mohammed Joda Usman'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 Mohammed Joda Usman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Joda Usman more than expected).
Fields of papers citing papers by Mohammed Joda Usman
This network shows the impact of papers produced by Mohammed Joda Usman. 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 Mohammed Joda Usman. The network helps show where Mohammed Joda Usman may publish in the future.
Co-authorship network of co-authors of Mohammed Joda Usman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Joda Usman. A scholar is included among the top collaborators of Mohammed Joda Usman 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 Mohammed Joda Usman. Mohammed Joda Usman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 30 | |
| 6 | 38 | |
| 7 | 26 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 123 | |
| 13 | 71 | |
| 14 | 12 | |
| 15 | 50 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 6 |
About Mohammed Joda Usman
Mohammed Joda Usman is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 21 papers that have together received 434 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Cloud Computing and Resource Management (9 papers) and Vehicular Ad Hoc Networks (VANETs) (7 papers). The work is most often cited by research in Computer Networks and Communications (327 citations), Information Systems (218 citations) and Electrical and Electronic Engineering (142 citations). Mohammed Joda Usman has collaborated with scholars based in Malaysia, Nigeria and United Kingdom. Frequent co-authors include Mohammed Abdullahi, Ahmed Aliyu, Shafi’i Muhammad Abdulhamid, Omprakash Kaiwartya, Syed Hamid Hussain Madni, Muhammad Shafie Abd Latiff, Abdul Hanan Abdullah, Yue Cao, Nauman Aslam and Abdulsalam Ya’u Gital. Their work appears in journals such as PLoS ONE, IEEE Access and Applied Sciences.
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.