Poonam Bansal

786 total citations
73 papers, 402 citations indexed

About

Poonam Bansal is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Poonam Bansal has authored 73 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 30 papers in Signal Processing and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Poonam Bansal's work include Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (12 papers). Poonam Bansal is often cited by papers focused on Speech and Audio Processing (21 papers), Speech Recognition and Synthesis (17 papers) and Music and Audio Processing (12 papers). Poonam Bansal collaborates with scholars based in India, United States and United Arab Emirates. Poonam Bansal's co-authors include Pooja Kherwa, Amita Dev, Pradeep Kumar, Ritu Rani, Deepak Kumar Sharma, Neelam Duhan, Deepak Gupta, Arun Sharma, Sumit Kumar and C. S. and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Clinical Neurology and Neurosurgery.

In The Last Decade

Poonam Bansal

65 papers receiving 379 citations

Peers

Poonam Bansal

AI

SP

IS

CVPR

GSS

Changxuan Wan China

Sanda Martinčić-Ipšić Croatia

Ilia Shumailov United Kingdom

Yun-Hsuan Sung United States

Enrico Corradini Italy

Marcin Gruza Poland

Roy Ka-Wei Lee Singapore

Ziheng Yu China

Jean‐Gabriel Ganascia France

Maíra Gatti de Bayser Brazil

Changxuan Wan China

Poonam Bansal

178 ×0.8

AI

57 ×0.7

SP

105 ×1.8

IS

27 ×0.7

CVPR

10 ×0.3

GSS

Citations per year, relative to Poonam Bansal Poonam Bansal (= 1×) peers Changxuan Wan

Countries citing papers authored by Poonam Bansal

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Bansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Bansal

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

All Works

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20 of 20 papers shown

1.

Dev, Amita, et al.. (2024). ADAM optimised human speech emotion recogniser based on statistical information distribution of chroma, MFCC, and MBSE features. Multimedia Tools and Applications. 84(12). 10155–10172. 1 indexed citations

2.

Rani, Ritu, et al.. (2024). Classification of Brain Tumors Using Augmented MRI Images and Deep Learning. 1–7. 1 indexed citations

3.

Dev, Amita, et al.. (2024). An Efficient Deep Learning Model for Embryo Classification. 358–363. 1 indexed citations

4.

Dev, Amita, et al.. (2023). Residual networks for text-independent speaker identification: Unleashing the power of residual learning. Journal of Information Security and Applications. 80. 103665–103665. 5 indexed citations

5.

Dev, Amita, et al.. (2023). A Pragmatic Analysis of Machine Translation Techniques for Preserving the Authenticity of the Sanskrit Language. ACM Transactions on Asian and Low-Resource Language Information Processing. 4 indexed citations

6.

Dev, Amita, et al.. (2023). Enhancing Low-Resource Sanskrit-Hindi Translation through Deep Learning with Ayurvedic Text. ACM Transactions on Asian and Low-Resource Language Information Processing. 3 indexed citations

7.

Dev, Amita, et al.. (2023). A Novel Neural Machine Translation Approach for low-resource Sanskrit-Hindi Language pair. ACM Transactions on Asian and Low-Resource Language Information Processing. 5 indexed citations

8.

Dev, Amita, et al.. (2023). Robustness evaluation of multi-layer perceptron based speech emotion recognition model for Hindi language. AIP conference proceedings. 2916. 30012–30012. 1 indexed citations

9.

Bansal, Poonam, et al.. (2023). Comparing the performance of various Encoder Models and Vectorization Techniques on Text Classification. 1–7.

10.

Dev, Amita, et al.. (2023). Analysis and Classification of Dysarthric Speech. 1–6. 1 indexed citations

11.

Dev, Amita, et al.. (2023). Investigating Activation Functions to Enhance Speaker Identification with LSTM Networks. 2. 1–7.

12.

Dev, Amita, et al.. (2023). Hindi title generation using rule-based approach. AIP conference proceedings. 2916. 170002–170002.

13.

Dev, Amita, et al.. (2022). Hybridization Based Machine Translations for Low-Resource Language with Language Divergence. ACM Transactions on Asian and Low-Resource Language Information Processing. 2 indexed citations

14.

Arora, Jyoti, et al.. (2022). Detection of Lung Tumor Using Enhanced Image Classification. 5. 1–6. 1 indexed citations

15.

Dev, Amita, et al.. (2022). Sphinx-Based Evaluation of Efficient Acoustic Modeling Parameters for LibriSpeech Corpus. 1–5. 1 indexed citations

16.

Rani, Ritu, et al.. (2022). Computer-aided Breast Cancer Diagnosis using Deep Convolutional Neural Networks. 13. 787–791. 1 indexed citations

17.

Harn, Meredith Van, et al.. (2022). Clinical and diagnostic spectrum of optic neuritis: A single-center retrospective study of disorders associated with multiple sclerosis, anti-aquaporin-4 and anti-myelin oligodendrocyte glycoprotein antibodies. Clinical Neurology and Neurosurgery. 221. 107381–107381.

18.

Kumar, Pradeep, et al.. (2019). AN OPTIMAL APPROACH FOR EEG/ERP NOISE CANCELLATION USING ADAPTIVE FILTER WITH OPPOSITIONAL WHALE OPTIMIZATION ALGORITHM. Biomedical Engineering Applications Basis and Communications. 31(5). 1950035–1950035. 1 indexed citations

19.

Bansal, Poonam, et al.. (2016). Evaluation Of Noise Cancellation Using LMS And NLMS Algorithm. International journal of scientific and technology research. 5(4). 69–72. 2 indexed citations

20.

Bansal, Poonam, Amita Dev, & Shail Bala Jain. (2010). Role of different order ranges of autocorrelation sequence on the performance of speech recognition. WSEAS TRANSACTIONS on SYSTEMS archive. 9(1). 1–9. 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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