M. Srinivas
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Health Information Management top 5%
- Information Systems top 10%
- Co-authors
- T.S. RamuC. Krishna MohanAmit JainP. MahalakshmiVps NaiduP. RajalakshmiR BharathP. Vivekh
- Topics
- Anomaly Detection Techniques and Applications (5 papers)Digital Imaging for Blood Diseases (4 papers)Glaucoma and retinal disorders (4 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
M. Srinivas
42 papers receiving 403 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 156
- Radiology, Nuclear Medicine and Imaging 114
- Electrical and Electronic Engineering 69
- Health Information Management 46
- Information Systems 45
Countries citing papers authored by M. Srinivas
This map shows the geographic impact of M. Srinivas'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 M. Srinivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Srinivas more than expected).
Fields of papers citing papers by M. Srinivas
This network shows the impact of papers produced by M. Srinivas. 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 M. Srinivas. The network helps show where M. Srinivas may publish in the future.
Co-authorship network of co-authors of M. Srinivas
This figure shows the co-authorship network connecting the top 25 collaborators of M. Srinivas. A scholar is included among the top collaborators of M. Srinivas 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 M. Srinivas. M. Srinivas 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 | 6 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 104 | |
| 13 | 4 | |
| 14 | Importance of Circular Data in Sports Science – a Review | 0 |
| 15 | 24 | |
| 16 | 28 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | Binomially Distributed Populations for Modelling GAs | 10 |
About M. Srinivas
M. Srinivas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ophthalmology, having authored 48 papers that have together received 438 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Health Information Management (46 citations), Modeling and Simulation (44 citations) and Health Informatics (10 citations). M. Srinivas has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include T.S. Ramu, C. Krishna Mohan, Amit Jain, P. Mahalakshmi, Vps Naidu, P. Rajalakshmi, R Bharath, P. Vivekh, G. Narsimha and L.M. Patnaik. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industry Applications.
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.