Mohammed Ali Shaik
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Plant Science
- Co-authors
- Prashanth BaskaranGeetha ManoharanSallauddin MohmmadKommabatla MahenderBonthala Prabhanjan YadavShabana ShabanaRavi KiranRramaswamy Ravikumar
- Topics
- Intravenous Infusion Technology and Safety (10 papers)Smart Systems and Machine Learning (5 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- IEEE AccessAIP conference proceedingsIOP Conference Series Materials Science and Engineering
In The Last Decade
Mohammed Ali Shaik
24 papers receiving 164 citations
Peers
Comparison fields: 5 of 56
- Biomedical Engineering 106
- Computer Networks and Communications 66
- Information Systems 53
- Electrical and Electronic Engineering 53
- Plant Science 46
Countries citing papers authored by Mohammed Ali Shaik
This map shows the geographic impact of Mohammed Ali Shaik'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 Ali Shaik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Ali Shaik more than expected).
Fields of papers citing papers by Mohammed Ali Shaik
This network shows the impact of papers produced by Mohammed Ali Shaik. 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 Ali Shaik. The network helps show where Mohammed Ali Shaik may publish in the future.
Co-authorship network of co-authors of Mohammed Ali Shaik
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Ali Shaik. A scholar is included among the top collaborators of Mohammed Ali Shaik 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 Ali Shaik. Mohammed Ali Shaik 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 54 | |
| 13 | 10 | |
| 14 | Agent-MB-DivClues: Multi Agent Mean based Divisive Clustering | 1 |
| 15 | 41 | |
| 16 | 21 | |
| 17 | 21 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 11 |
About Mohammed Ali Shaik
Mohammed Ali Shaik is a scholar working on Health Information Management, Computer Networks and Communications and Signal Processing, having authored 35 papers that have together received 287 indexed citations. Recurring topics across this work include Intravenous Infusion Technology and Safety (10 papers), Smart Systems and Machine Learning (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (31 citations), Computer Networks and Communications (66 citations) and Signal Processing (27 citations). Mohammed Ali Shaik has collaborated with scholars based in India and Oman. Frequent co-authors include Prashanth Baskaran, Geetha Manoharan, Sallauddin Mohmmad, Kommabatla Mahender, Bonthala Prabhanjan Yadav, Shabana Shabana, Ravi Kiran, Rramaswamy Ravikumar, T. Sampath Kumar and D. Kothandaraman. Their work appears in journals such as IEEE Access, AIP conference proceedings and IOP Conference Series Materials Science and Engineering.
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.