K. Nirmala

538 total citations
50 papers, 325 citations indexed

About

K. Nirmala is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K. Nirmala has authored 50 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K. Nirmala's work include Digital Imaging for Blood Diseases (5 papers), Infrared Thermography in Medicine (5 papers) and Advanced Image Fusion Techniques (4 papers). K. Nirmala is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), Infrared Thermography in Medicine (5 papers) and Advanced Image Fusion Techniques (4 papers). K. Nirmala collaborates with scholars based in India, United States and Lebanon. K. Nirmala's co-authors include G. Rajesh, P. Senthil Kumar, Uma Shankar, Gayathri Rangasamy, A. Saravanan, Krishnapandi Alagumalai, Savitha Ramasamy, S. Akilandeswari, K. Thirumalai and Mohandass Ramya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and Environmental Research.

In The Last Decade

K. Nirmala

41 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Nirmala India 10 90 65 59 53 51 50 325
Qiaoqin Li China 11 235 2.6× 118 1.8× 21 0.4× 50 0.9× 17 0.3× 34 538
Lei Kuang United Kingdom 11 100 1.1× 40 0.6× 7 0.1× 45 0.8× 25 0.5× 26 357
Litao Bai United States 9 32 0.4× 110 1.7× 49 0.8× 69 1.3× 14 0.3× 15 373
Abdelatty Abdelgawad Saudi Arabia 8 59 0.7× 91 1.4× 40 0.7× 32 0.6× 4 0.1× 16 335
Yande Li China 8 75 0.8× 42 0.6× 157 2.7× 15 0.3× 14 0.3× 22 311
Pooja Singh India 8 69 0.8× 39 0.6× 26 0.4× 13 0.2× 7 0.1× 43 220
Hirak Mazumdar India 12 73 0.8× 57 0.9× 16 0.3× 50 0.9× 6 0.1× 29 321
Luca Torresi Germany 4 94 1.0× 299 4.6× 12 0.2× 72 1.4× 12 0.2× 5 481
Amrita Kaur India 7 16 0.2× 59 0.9× 56 0.9× 58 1.1× 4 0.1× 17 263

Countries citing papers authored by K. Nirmala

Since Specialization
Citations

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

Fields of papers citing papers by K. Nirmala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Nirmala. A scholar is included among the top collaborators of K. Nirmala 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. Nirmala. K. Nirmala 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
1.
Nirmala, K., et al.. (2025). Deep Learning Model-Based Detection of Anemia from Conjunctiva Images. Healthcare Informatics Research. 31(1). 57–65. 2 indexed citations
2.
Nirmala, K., et al.. (2024). Analysis of microvascular pattern in diabetes mellitus condition using the nailfold capillaroscopy images. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 238(3). 340–347. 1 indexed citations
3.
4.
Rajesh, G., P. Senthil Kumar, S. Akilandeswari, et al.. (2023). A synergistic consequence of catalyst dosage, pH solution and reactive species of Fe-doped CdAl2O4 nanoparticles on the degradation of toxic environmental pollutants. Chemosphere. 318. 137919–137919. 18 indexed citations
5.
Rajesh, G., P. Senthil Kumar, S. Akilandeswari, et al.. (2023). Strategies for ameliorating the photodegradation efficiency of Mn-doped CdAl2O4 nanoparticles for the toxic dyes under visible light illumination. Chemosphere. 321. 138069–138069. 17 indexed citations
6.
Kumar, P. Senthil, et al.. (2022). Experimental investigation of the electrochemical detection of sulfamethoxazole using copper oxide-MoS2 modified glassy carbon electrodes. Environmental Research. 216(Pt 1). 114463–114463. 26 indexed citations
7.
Nirmala, K., et al.. (2022). Detection of Anaemia using Image Processing Techniques from microscopy blood smear images. Journal of Physics Conference Series. 2318(1). 12043–12043. 7 indexed citations
8.
Kumar, P. Senthil, Gayathri Rangasamy, Uma Shankar, et al.. (2022). A recent advancement on the applications of nanomaterials in electrochemical sensors and biosensors. Chemosphere. 308. 136416–136416. 100 indexed citations
9.
Nirmala, K., et al.. (2020). Regular string-token Petri nets. Malaya Journal of Matematik. 8(2). 445–449.
10.
Nirmala, K., et al.. (2019). Detection of Breast Cancer from Thermography Images. International Journal of Engineering and Advanced Technology. 8(6). 677–682. 1 indexed citations
11.
Nirmala, K., et al.. (2019). Hybrid feature vector based detection of Glaucoma. Multimedia Tools and Applications. 78(24). 34247–34276. 5 indexed citations
12.
Nirmala, K., et al.. (2017). Glaucoma detection using wavelet based contourlet transform. 31. 1–5. 4 indexed citations
13.
Ramasamy, Savitha & K. Nirmala. (2017). Disease prediction in data mining using association rule mining and keyword based clustering algorithms. International Journal of Computers and Applications. 42(1). 1–8. 17 indexed citations
14.
15.
Nirmala, K., et al.. (2015). Orthogonal Features based Classification of Microcalcification in Mammogram using Jacobi Moments. Indian Journal of Science and Technology. 8(15). 4 indexed citations
16.
Selvi, S. Tamil, et al.. (2014). Trust Worthiness on Load Balance in Grids Using Standard Cauchy Distribution. Research Journal of Applied Sciences Engineering and Technology. 8(16). 1833–1837.
17.
Nirmala, K., et al.. (2014). AN ENHANCED MAMMOGRAM DIAGNOSIS USING SHIFT-INVARIANT TRANSFORM. ICTACT Journal on Image and Video Processing. 5(2). 920–925. 3 indexed citations
18.
Nirmala, K., et al.. (2014). FUSION OF WAVELET AND CURVELET COEFFICIENTS FOR GRAY TEXTURE CLASSIFICATION. SHILAP Revista de lepidopterología. 4(4). 805–811. 1 indexed citations
19.
Nirmala, K., et al.. (2013). A Survey on Text Categorization in Online Social Networks. 1 indexed citations
20.
Nirmala, K., et al.. (2012). Classification and Importance of Intrusion Detection System. 10(8). 44–47. 12 indexed citations

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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