Sujatha Krishnamoorthy

1.7k total citations
60 papers, 971 citations indexed

About

Sujatha Krishnamoorthy is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sujatha Krishnamoorthy has authored 60 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Sujatha Krishnamoorthy's work include IoT and Edge/Fog Computing (7 papers), Retinal Imaging and Analysis (5 papers) and Digital Imaging for Blood Diseases (4 papers). Sujatha Krishnamoorthy is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Retinal Imaging and Analysis (5 papers) and Digital Imaging for Blood Diseases (4 papers). Sujatha Krishnamoorthy collaborates with scholars based in China, India and Lebanon. Sujatha Krishnamoorthy's 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 and has published in prestigious journals such as IEEE Access, Sustainability and Environmental Science and Pollution Research.

In The Last Decade

Sujatha Krishnamoorthy

54 papers receiving 910 citations

Peers

Sujatha Krishnamoorthy
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
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Citations per field, relative to Sujatha Krishnamoorthy
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Countries citing papers authored by Sujatha Krishnamoorthy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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