K. Rajeswari

739 total citations
66 papers, 444 citations indexed

About

K. Rajeswari is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, K. Rajeswari has authored 66 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in K. Rajeswari's work include Data Mining Algorithms and Applications (14 papers), Imbalanced Data Classification Techniques (10 papers) and Artificial Intelligence in Healthcare (9 papers). K. Rajeswari is often cited by papers focused on Data Mining Algorithms and Applications (14 papers), Imbalanced Data Classification Techniques (10 papers) and Artificial Intelligence in Healthcare (9 papers). K. Rajeswari collaborates with scholars based in India and United States. K. Rajeswari's co-authors include P. Lakshmi, V. Vaithiyanathan, T. R. Neelakantan, M. L. Satyanarayana, Akira Mita, Anjali Leal, M. Gayathri, P.S. Reddy, S. Mahajan and M. Ashwin and has published in prestigious journals such as Building and Environment, Applied Mechanics and Materials and Research Journal of Applied Sciences Engineering and Technology.

In The Last Decade

K. Rajeswari

54 papers receiving 379 citations

Peers

K. Rajeswari
Comparison fields: 5 of 94
  • Artificial Intelligence 156
  • Radiology, Nuclear Medicine and Imaging 100
  • Health Information Management 77
  • Information Systems 70
  • Pulmonary and Respiratory Medicine 64
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Mhd Saeed Sharif United Kingdom
Kashif Munir Pakistan
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Citations per field, relative to K. Rajeswari
K. Rajeswari · 1×
Citations per year, relative to K. Rajeswari
K. Rajeswari · 1×

Countries citing papers authored by K. Rajeswari

Since Specialization
Citations

This map shows the geographic impact of K. Rajeswari'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 K. Rajeswari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rajeswari more than expected).

Fields of papers citing papers by K. Rajeswari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Rajeswari. 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 K. Rajeswari. The network helps show where K. Rajeswari may publish in the future.

Co-authorship network of co-authors of K. Rajeswari

This figure shows the co-authorship network connecting the top 25 collaborators of K. Rajeswari. A scholar is included among the top collaborators of K. Rajeswari 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 K. Rajeswari. K. Rajeswari 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 0
3 0
4 1
5 0
6 7
7 2
8 3
9
Macro Economy Blooms the Life Insurance Companies in India: An Overview
2
10
Quality of Work Life of Private Sector Bank Employees in Sivakasi
2
11 2
12 2
13 1
14 1
15
Face Detection and Recognition Using Various Frames of A Video
1
16
Purchase Decision of Life Insurance Policyholders: An Outlook
1
17
Kalman estimator for an Active Suspension System
3
18 9
19 33
20
Perception of customers towards life insurance services
2

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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