S. P. Maniraj
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Oncology
- Accounting
- Information Systems
- Co-authors
- S. KarthickC. SrinivasanP. AshaS. MuruganRamakrishnan RamanB. GopiS. SrinivasanSantanu Das
- Topics
- Cutaneous Melanoma Detection and Management (4 papers)AI in cancer detection (3 papers)Artificial Intelligence in Healthcare (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsInternational Journal of Machine Learning and Cybernetics
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
S. P. Maniraj
17 papers receiving 285 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 125
- Electrical and Electronic Engineering 44
- Oncology 37
- Accounting 35
- Information Systems 32
Countries citing papers authored by S. P. Maniraj
This map shows the geographic impact of S. P. Maniraj'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 S. P. Maniraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. P. Maniraj more than expected).
Fields of papers citing papers by S. P. Maniraj
This network shows the impact of papers produced by S. P. Maniraj. 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 S. P. Maniraj. The network helps show where S. P. Maniraj may publish in the future.
Co-authorship network of co-authors of S. P. Maniraj
This figure shows the co-authorship network connecting the top 25 collaborators of S. P. Maniraj. A scholar is included among the top collaborators of S. P. Maniraj 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 S. P. Maniraj. S. P. Maniraj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 36 | |
| 5 | 0 | |
| 6 | Web Data Mining with Organized Contents Using Naive Bayes Algorithmbreakdown → | 39 |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 23 | |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 88 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 5 |
About S. P. Maniraj
S. P. Maniraj is a scholar working on Health Information Management, Neurology and Water Science and Technology, having authored 24 papers that have together received 309 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), AI in cancer detection (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Media Technology (27 citations) and Accounting (35 citations). S. P. Maniraj has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include S. Karthick, C. Srinivasan, P. Asha, S. Murugan, Ramakrishnan Raman, B. Gopi, S. Srinivasan, Santanu Das, Malik Bader Alazzam and M. Sangeetha. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and International Journal of Machine Learning and Cybernetics.
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.