Sujatha Krishnamoorthy
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Seifedine KadryGunasekaran ManogaranC. B. SivaparthipanBalaAnand MuthuR. Dinesh Jackson SamuelK. ShankarRevathi SundarasekarJ. Uthayakumar
- Topics
- IoT and Edge/Fog Computing (7 papers)Retinal Imaging and Analysis (5 papers)Digital Imaging for Blood Diseases (4 papers)
In The Last Decade
Sujatha Krishnamoorthy
54 papers receiving 910 citations
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 224
- Computer Networks and Communications 171
- Computer Vision and Pattern Recognition 154
- Information Systems 127
- Radiology, Nuclear Medicine and Imaging 114
Countries citing papers authored by Sujatha Krishnamoorthy
This map shows the geographic impact of Sujatha Krishnamoorthy'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 Sujatha Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujatha Krishnamoorthy more than expected).
Fields of papers citing papers by Sujatha Krishnamoorthy
This network shows the impact of papers produced by Sujatha Krishnamoorthy. 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 Sujatha Krishnamoorthy. The network helps show where Sujatha Krishnamoorthy may publish in the future.
Co-authorship network of co-authors of Sujatha Krishnamoorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Sujatha Krishnamoorthy. A scholar is included among the top collaborators of Sujatha Krishnamoorthy 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 Sujatha Krishnamoorthy. Sujatha Krishnamoorthy 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 | 6 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Screening of nematicidal activity and phytochemical analysis of Caesalpinia sappan (Linn). | 1 |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 39 | |
| 13 | 108 | |
| 14 | Enhanced Adaptive Clustering Mechanism for Effective Cluster Formation in WSN | 4 |
| 15 | Optimal Path Selection in Mobile Adhoc Networks for Time Sensitive Applications | 3 |
| 16 | Routing Virtualization for IPv4-IPv6 Coexistence By Means of Real Time Simulation | 0 |
| 17 | Bioefficacy of Bt Cotton Hybrids Containing the Fusion Gene cry1Ac-1Ab Against Spodoptera litura | 2 |
| 18 | 1 | |
| 19 | Spectral and k-Spectral theory of k-idempotent matrices | 1 |
| 20 | 21 |
About Sujatha Krishnamoorthy
Sujatha Krishnamoorthy is a scholar working on Health Information Management, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 971 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Retinal Imaging and Analysis (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Health Information Management (80 citations), Microbiology (10 citations) and Drug Discovery (2 citations). Sujatha Krishnamoorthy has collaborated with scholars based in China, India and Lebanon. Frequent co-authors include Seifedine Kadry, Gunasekaran Manogaran, C. B. Sivaparthipan, BalaAnand Muthu, R. Dinesh Jackson Samuel, K. Shankar, Revathi Sundarasekar, J. Uthayakumar, Sachi Nandan Mohanty and A. Ahilan. Their work appears in journals such as IEEE Access, Sustainability and Environmental Science and Pollution Research.
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.