Amrita Kaur

401 total citations
17 papers, 263 citations indexed

About

Amrita Kaur is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics. According to data from OpenAlex, Amrita Kaur has authored 17 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Economics and Econometrics. Recurrent topics in Amrita Kaur's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Market Dynamics and Volatility (3 papers) and Brain Tumor Detection and Classification (3 papers). Amrita Kaur is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Market Dynamics and Volatility (3 papers) and Brain Tumor Detection and Classification (3 papers). Amrita Kaur collaborates with scholars based in India. Amrita Kaur's co-authors include Pardeep Kaur, Ashima Singh, Lakhwinder Kaur, Prabhat Mittal, A.P. Dhillon, Pankaj Gupta, Geeta Devi Leishangthem, Harmanjit Singh Banga, Vishal Mahajan and Ramandeep Singh and has published in prestigious journals such as Neural Computing and Applications, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.

In The Last Decade

Amrita Kaur

16 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amrita Kaur India 7 59 58 56 41 41 17 263
Junping Zhao China 9 52 0.9× 54 0.9× 47 0.8× 45 1.1× 27 0.7× 31 457
Zhijie Liu China 9 49 0.8× 70 1.2× 28 0.5× 37 0.9× 69 1.7× 19 295
Şahın Uyaver Türkiye 11 45 0.8× 84 1.4× 36 0.6× 28 0.7× 52 1.3× 29 418
Jiawei Mao China 9 65 1.1× 107 1.8× 39 0.7× 20 0.5× 21 0.5× 21 275
Chao Xin China 11 25 0.4× 77 1.3× 26 0.5× 27 0.7× 72 1.8× 26 388
K. Nirmala India 10 65 1.1× 53 0.9× 59 1.1× 40 1.0× 42 1.0× 50 325
Yiwei He China 11 29 0.5× 63 1.1× 44 0.8× 15 0.4× 68 1.7× 25 278
Shachi Mittal United States 10 24 0.4× 77 1.3× 17 0.3× 63 1.5× 110 2.7× 18 386
Jane Hung United States 7 15 0.3× 143 2.5× 59 1.1× 17 0.4× 64 1.6× 8 382
Yawen Wu China 10 107 1.8× 202 3.5× 25 0.4× 40 1.0× 75 1.8× 25 378

Countries citing papers authored by Amrita Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Amrita Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amrita Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Amrita Kaur. A scholar is included among the top collaborators of Amrita Kaur 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 Amrita Kaur. Amrita Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Kaur, Amrita, Lakhwinder Kaur, & Ashima Singh. (2023). DeepCONN: patch-wise deep convolutional neural networks for the segmentation of multiple sclerosis brain lesions. Multimedia Tools and Applications. 83(8). 24401–24433. 8 indexed citations
3.
Kaur, Amrita & Prabhat Mittal. (2023). Wavelet based analysis of oil price shocks, exchange rate and stock market behaviour: Evidences from emerging markets. OPEC Energy Review. 47(3). 163–175. 5 indexed citations
4.
Kaur, Amrita, et al.. (2021). Correction: Förster resonance energy transfer (FRET) and applications thereof. Analytical Methods. 13(5). 730–730. 5 indexed citations
5.
Kaur, Amrita, Lakhwinder Kaur, & Ashima Singh. (2021). GA-UNet: UNet-based framework for segmentation of 2D and 3D medical images applicable on heterogeneous datasets. Neural Computing and Applications. 33(21). 14991–15025. 30 indexed citations
6.
Kaur, Amrita, et al.. (2021). A Survey on Deep Learning Approaches to Medical Images and a Systematic Look up into Real-Time Object Detection. Archives of Computational Methods in Engineering. 29(4). 2071–2111. 42 indexed citations
7.
Gupta, Pankaj, Prabhat Mittal, & Amrita Kaur. (2021). Analysing time-frequency relationship between COVID-19 and FII trading activities using wavelet coherence analysis. Global Business and Economics Review. 25(3/4). 383–383. 6 indexed citations
8.
Singh, Ashima, et al.. (2021). Software system to predict the infection in COVID‐19 patients using deep learning and web of things. Software Practice and Experience. 52(4). 868–886. 11 indexed citations
9.
Kaur, Amrita, Prabhat Mittal, & Pankaj Gupta. (2021). Analysing time-frequency relationship between COVID-19 and FII trading activities using wavelet coherence analysis. Global Business and Economics Review. 25(3/4). 383–383. 1 indexed citations
10.
Kaur, Amrita, et al.. (2020). Human-Computer Interaction with Special Emphasis on Converting Brain Signals to Speech. International Journal of Innovative Technology and Exploring Engineering. 9(6). 523–529. 1 indexed citations
11.
Dhillon, A.P., Amrita Kaur, & Ashima Singh. (2020). Application of Machine Learning for Prediction of Lung Cancer using Omics Data. International Journal of Innovative Technology and Exploring Engineering. 9(6). 230–236. 1 indexed citations
12.
Kaur, Amrita, Lakhwinder Kaur, & Ashima Singh. (2020). State-of-the-Art Segmentation Techniques and Future Directions for Multiple Sclerosis Brain Lesions. Archives of Computational Methods in Engineering. 28(3). 951–977. 27 indexed citations
13.
Kaur, Amrita, et al.. (2020). Förster resonance energy transfer (FRET) and applications thereof. Analytical Methods. 12(46). 5532–5550. 113 indexed citations
14.
Kaur, Amrita, et al.. (2019). Patho-epidemiological and molecular diagnosis of swine brucellosis in Punjab. Indian Journal of Animal Research. 2 indexed citations
15.
Kaur, Amrita. (2017). Does Taxation Effect FDI in India? An Empirical Study of Hartman Model. 4(1). 29–42. 2 indexed citations
16.
Mahajan, Vishal, et al.. (2016). Localization of classical swine fever virus antigen in young piglets by immunohistochemistry. Indian Journal of Veterinary Pathology. 40(4). 359–359. 2 indexed citations
17.
Singh, Amritpal, et al.. (2015). Pattern Analysis On Banking Dataset. International journal of scientific and technology research. 4(6). 252–256. 1 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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