G. M. Nasira
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Electrical and Electronic Engineering
- Information Systems
- Management Science and Operations Research top 10%
- Co-authors
- Angelina GeethaJesmin Antony
- Topics
- Data Mining Algorithms and Applications (6 papers)Neural Networks and Applications (6 papers)Artificial Intelligence in Healthcare (5 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaIndian Journal of Science and TechnologyResearch Journal of Applied Sciences Engineering and Technology
- Partner nations
- India
In The Last Decade
G. M. Nasira
32 papers receiving 218 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 112
- Health Information Management 74
- Electrical and Electronic Engineering 45
- Information Systems 44
- Management Science and Operations Research 40
Countries citing papers authored by G. M. Nasira
This map shows the geographic impact of G. M. Nasira'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 G. M. Nasira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. M. Nasira more than expected).
Fields of papers citing papers by G. M. Nasira
This network shows the impact of papers produced by G. M. Nasira. 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 G. M. Nasira. The network helps show where G. M. Nasira may publish in the future.
Co-authorship network of co-authors of G. M. Nasira
This figure shows the co-authorship network connecting the top 25 collaborators of G. M. Nasira. A scholar is included among the top collaborators of G. M. Nasira 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 G. M. Nasira. G. M. Nasira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Patten recognition for toxic gases based on electronic nose using artificial neural networks | 1 |
| 2 | Time series modeling and forecasting: Tropical cyclone prediction using ARIMA model | 7 |
| 3 | Detecting and preventing intrusion in multi-tier web applications using double guard | 3 |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 3 | |
| 14 | Automatic Defect Detection Algorithm for WovenFabric using Artificial Neural Network Techniques | 4 |
| 15 | A Data Mining Model to Read and ClassifyYour Employees Attitude | 1 |
| 16 | Rainfall Prediction using Logistic Regression Technique | 1 |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 33 | |
| 20 | 0 |
About G. M. Nasira
G. M. Nasira is a scholar working on Health Information Management, Artificial Intelligence and Information Systems, having authored 38 papers that have together received 257 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Neural Networks and Applications (6 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Health Information Management (74 citations), Artificial Intelligence (112 citations) and Management Science and Operations Research (40 citations). G. M. Nasira has collaborated with scholars based in India. Frequent co-authors include Angelina Geetha and Jesmin Antony. Their work appears in journals such as SHILAP Revista de lepidopterología, Indian Journal of Science and Technology and Research Journal of Applied Sciences Engineering and Technology.
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.