Susmitha Vekkot

497 total citations
42 papers, 263 citations indexed

About

Susmitha Vekkot is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Susmitha Vekkot has authored 42 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Signal Processing and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Susmitha Vekkot's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (11 papers). Susmitha Vekkot is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (11 papers). Susmitha Vekkot collaborates with scholars based in India, Saudi Arabia and United Kingdom. Susmitha Vekkot's co-authors include Deepa Gupta, Deepa Gupta, Pancham Shukla, Mohammed Zakariah, Yousef Ajami Alotaibi, S. Lalitha, Kamran Shaukat, Junyu Chen, Suja Palaniswamy and Sunil Kumar and has published in prestigious journals such as IEEE Access, Sensors and Knowledge-Based Systems.

In The Last Decade

Susmitha Vekkot

31 papers receiving 241 citations

Peers

Susmitha Vekkot

AI

ECP

SP

CVPR

MT

Walid Hariri Algeria

Sajid Ali Khan Pakistan

Ming Fang China

Piotr Żelasko United States

Monorama Swain India

Amir Sadovnik United States

Bedy Purnama Indonesia

Qiangchang Wang China

Jiajia Tang China

Jingting Li China

Walid Hariri Algeria

Susmitha Vekkot

44 ×0.3

AI

24 ×0.3

ECP

64 ×0.9

SP

193 ×3.0

CVPR

7 ×0.2

MT

Citations per year, relative to Susmitha Vekkot Susmitha Vekkot (= 1×) peers Walid Hariri

Countries citing papers authored by Susmitha Vekkot

Since Specialization

Citations

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

Fields of papers citing papers by Susmitha Vekkot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susmitha Vekkot

This figure shows the co-authorship network connecting the top 25 collaborators of Susmitha Vekkot. A scholar is included among the top collaborators of Susmitha Vekkot 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 Susmitha Vekkot. Susmitha Vekkot 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.

Vekkot, Susmitha, et al.. (2025). Enhanced Lip Reading Using Deep Model Feature Fusion: A Study on the MIRACL-VC1 Dataset. Procedia Computer Science. 258. 1189–1198.

2.

Vekkot, Susmitha, et al.. (2025). Advancing ASR for Indian-Accented English: Dataset Creation and Whisper Fine-Tuning. Procedia Computer Science. 258. 2510–2519.

3.

Vekkot, Susmitha, et al.. (2025). Identifying AI-Generated Text Designed to Evade Plagiarism Detection. 484–490. 1 indexed citations

4.

Vekkot, Susmitha, et al.. (2024). Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers. IEEE Access. 13. 3298–3319. 1 indexed citations

5.

Vekkot, Susmitha, et al.. (2024). Sarcasm Detection in Newspaper Headlines. 1–8. 2 indexed citations

6.

Gupta, Deepa, et al.. (2024). Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language. International Journal of Speech Technology. 27(3). 687–700. 2 indexed citations

7.

Vekkot, Susmitha, et al.. (2024). Interpretable Handwritten Digit Classification: Analyzing Feature Extraction and Explainable AI on the Extended MNIST Dataset. 591–597.

8.

Vekkot, Susmitha, et al.. (2024). Enhancing Deepfake Detection: Leveraging Deep Models for Video Authentication. 1–7. 2 indexed citations

9.

Vekkot, Susmitha, et al.. (2024). Unravelling stress levels in continuous speech through optimal feature selection and deep learning. Procedia Computer Science. 235. 1722–1731. 4 indexed citations

10.

Vekkot, Susmitha, et al.. (2024). Development of a non-invasive Covid-19 detection framework using explainable AI and data augmentation . Journal of Intelligent & Fuzzy Systems. 7 indexed citations

11.

Vekkot, Susmitha, et al.. (2024). Multi-Modal Automatic Video Segmentation with Sentence Transformer Embeddings and KeyBERT-Based Subtopic Extraction. 1–6.

12.

Vekkot, Susmitha, et al.. (2024). Empowering Facial Analytics: A Unified Approach for Emotion, Age, Gender and Object Identification. 145–150. 2 indexed citations

13.

Biju, A., et al.. (2024). An Explainable Hybrid Learning Model for Indian Food Image Classification. 1–6. 2 indexed citations

14.

Vekkot, Susmitha, et al.. (2023). Dementia Speech Dataset Creation and Analysis in Indic Languages—A Pilot Study. IEEE Access. 11. 130697–130718. 7 indexed citations

15.

Vekkot, Susmitha, et al.. (2023). Playing Maze using Voice Commands. 10. 1–7. 1 indexed citations

16.

Vekkot, Susmitha, et al.. (2022). A Comparative Study of Feature Modelling Methods for Telugu Language Identification. 1. 151–156. 1 indexed citations

17.

Vekkot, Susmitha, Deepa Gupta, Mohammed Zakariah, & Yousef Ajami Alotaibi. (2020). Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network. IEEE Access. 8. 74627–74647. 18 indexed citations

18.

Vekkot, Susmitha, Deepa Gupta, Mohammed Zakariah, & Yousef Ajami Alotaibi. (2019). Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network. IEEE Access. 7. 81883–81902. 12 indexed citations

19.

Vekkot, Susmitha. (2017). Building a generalized model for multi-lingual vocal emotion conversion. 576–580. 5 indexed citations

20.

Vekkot, Susmitha & Pancham Shukla. (2009). A Novel Architecture For Wavelet Based Image Fusion. Zenodo (CERN European Organization for Nuclear Research). 33 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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