Ankit Kumar

519 total citations
20 papers, 169 citations indexed

About

Ankit Kumar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ankit Kumar has authored 20 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ankit Kumar's work include Speech and Audio Processing (6 papers), Music and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Ankit Kumar is often cited by papers focused on Speech and Audio Processing (6 papers), Music and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). Ankit Kumar collaborates with scholars based in India, United States and Cyprus. Ankit Kumar's co-authors include Rajesh Kumar Aggarwal, Pritiraj Mohanty, Avinash Kumar Jha, Surabhi Adhikari, Surendrabikram Thapa, Mohit Dua, Gautam Siddharth Kashyap, Md Tabrez Nafis, Prabhat K. Agnihotri and Manish Agrawal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Modelling and Simulation in Materials Science and Engineering.

In The Last Decade

Ankit Kumar

17 papers receiving 151 citations

Peers

Ankit Kumar
Yuanfeng Song Hong Kong
Ziyi Yang China
Jason Wang China
Junjie Li China
Shruti Bhargava Choubey India
Chengzhi Mao United States
Juliane Krämer Germany
Yuanfeng Song Hong Kong
Ankit Kumar
Citations per year, relative to Ankit Kumar Ankit Kumar (= 1×) peers Yuanfeng Song

Countries citing papers authored by Ankit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Kumar. A scholar is included among the top collaborators of Ankit Kumar 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 Ankit Kumar. Ankit Kumar 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.
Kumar, Ankit, et al.. (2025). The Double-Edged Web: Social Media Penetration and Cybercrime Exposure in India. International Journal of Advanced Multidisciplinary Research and Studies. 5(4). 45–48. 1 indexed citations
2.
Sharma, Chandani, et al.. (2025). An Efficient Algorithm for Generating Interactive Visualization of Large Datasets. 441–445. 2 indexed citations
3.
Sah, Adam, Ankit Kumar, & Bharat Bhushan. (2025). Leveraging Blockchain Technology for Secure Online Voting Systems: A Comprehensive Review. Journal of Mobile Multimedia. 1 indexed citations
4.
Pandey, Saroj Kumar, et al.. (2024). BCCHI-HCNN: Breast Cancer Classification from Histopathological Images Using Hybrid Deep CNN Models. Journal of Imaging Informatics in Medicine. 38(3). 1690–1703. 2 indexed citations
5.
Kashyap, Gautam Siddharth, et al.. (2024). From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility. arXiv (Cornell University). 23 indexed citations
6.
Kumar, Ankit, et al.. (2024). Audio spectrogram analysis in IoT paradigm for the classification of psychological-emotional characteristics. International Journal of Information Technology. 17(6). 3539–3549. 4 indexed citations
7.
Kumar, Ankit, et al.. (2024). IOT Based Smart Parking System. International Journal for Research in Applied Science and Engineering Technology. 12(5). 1740–1746.
8.
Sinha, Aditya, et al.. (2023). Explainable-AI Based Model for Brain Tumor Detection. IJARCCE. 12(6). 2 indexed citations
9.
Kumar, Ankit, et al.. (2023). Image Processing Technique for Tracking and Counting of Vehicles Using ROI. 10. 981–986. 1 indexed citations
10.
Kumar, Ankit & Bharat Bhushan. (2023). AI Driven Sentiment Analysis for Social Media Data. 1201–1206.
11.
Kumar, Ankit, et al.. (2022). Deep neural networks based predictive-generative framework with data augmentation for designing composite materials. Modelling and Simulation in Materials Science and Engineering. 30(7). 75003–75003. 14 indexed citations
12.
Kumar, Ankit & Rajesh Kumar Aggarwal. (2021). An Investigation of Multilingual TDNN-BLSTM Acoustic Modeling forHindi Speech Recognition. International Journal of Sensors Wireless Communications and Control. 12(1). 19–31. 2 indexed citations
13.
Kumar, Ankit & Rajesh Kumar Aggarwal. (2021). An exploration of semi-supervised and language-adversarial transfer learning using hybrid acoustic model for hindi speech recognition. Journal of Reliable Intelligent Environments. 8(2). 117–132. 10 indexed citations
14.
Kumar, Ankit & Rajesh Kumar Aggarwal. (2020). Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling. SHILAP Revista de lepidopterología. 30(1). 165–179. 18 indexed citations
15.
Thapa, Surendrabikram, et al.. (2020). Accelerating Business Growth with Big Data and Artificial Intelligence. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 441–448. 33 indexed citations
16.
Kumar, Ankit & Rajesh Kumar Aggarwal. (2020). A hybrid CNN-LiGRU acoustic modeling using raw waveform sincnet for Hindi ASR. Computer Science. 21(4). 5 indexed citations
17.
Kumar, Ankit & Rajesh Kumar Aggarwal. (2020). Hindi speech recognition using time delay neural network acoustic modeling with i-vector adaptation. International Journal of Speech Technology. 25(1). 67–78. 8 indexed citations
18.
Kumar, Ankit & Pritiraj Mohanty. (2017). Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network. Scientific Reports. 7(1). 411–411. 26 indexed citations
19.
Kumar, Ankit, et al.. (2014). Continuous Hindi Speech Recognition using Monophone based Acoustic Modeling. 15–19. 14 indexed citations
20.

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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