Vedhas Pandit

953 total citations
16 papers, 618 citations indexed

About

Vedhas Pandit is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Vedhas Pandit has authored 16 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 5 papers in Experimental and Cognitive Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Vedhas Pandit's work include Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Emotion and Mood Recognition (4 papers). Vedhas Pandit is often cited by papers focused on Music and Audio Processing (7 papers), Speech and Audio Processing (5 papers) and Emotion and Mood Recognition (4 papers). Vedhas Pandit collaborates with scholars based in Germany, United Kingdom and India. Vedhas Pandit's co-authors include Björn W. Schuller, Kun Qian, Ruud M. Bolle, Nalini Ratha, Vaibhav Vaish, Zixing Zhang, Zhao Ren, Maximilian Schmitt, Jing Han and Alice Baird and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering and Information Processing & Management.

In The Last Decade

Vedhas Pandit

15 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vedhas Pandit Germany	9	340	185	157	118	83	16	618
Luis A. Hernández Gómez Spain	14	252 0.7×	92 0.5×	65 0.4×	274 2.3×	27 0.3×	66	576
Sebastian Stober Germany	12	157 0.5×	163 0.9×	31 0.2×	95 0.8×	349 4.2×	60	680
Yunbin Deng United States	11	287 0.8×	134 0.7×	59 0.4×	166 1.4×	81 1.0×	24	613
Alberto Abad Portugal	15	384 1.1×	116 0.6×	94 0.6×	423 3.6×	71 0.9×	101	736
Vinay Kumar Mittal India	15	329 1.0×	78 0.4×	167 1.1×	281 2.4×	111 1.3×	84	702
Gérard Chollet France	17	773 2.3×	287 1.6×	104 0.7×	669 5.7×	70 0.8×	143	1.1k
Corinne Fredouille France	17	1.2k 3.4×	190 1.0×	131 0.8×	1.2k 10.5×	34 0.4×	67	1.6k
Joëlle Tilmanne Belgium	12	64 0.2×	211 1.1×	107 0.7×	70 0.6×	65 0.8×	28	395
Yousef Ajami Alotaibi Saudi Arabia	18	520 1.5×	147 0.8×	243 1.5×	606 5.1×	51 0.6×	124	988
Suh-Yeon Dong South Korea	14	41 0.1×	276 1.5×	279 1.8×	74 0.6×	167 2.0×	34	663

Countries citing papers authored by Vedhas Pandit

Since Specialization

Citations

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

Fields of papers citing papers by Vedhas Pandit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedhas Pandit

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

All Works

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16 of 16 papers shown

Pandit, Vedhas & Björn W. Schuller. (2024). The many-to-many mappings between the concordance correlation coefficient, the mean square error and the correlation coefficient. AIP conference proceedings. 3094. 200005–200005.

Pandit, Vedhas, Maximilian Schmitt, Nicholas Cummins, & Björn W. Schuller. (2020). I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time. Information Processing & Management. 57(6). 102347–102347. 14 indexed citations

Kossaifi, Jean, Robert Walecki, Yannis Panagakis, et al.. (2019). SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 1022–1040. 157 indexed citations

Pandit, Vedhas & Björn W. Schuller. (2019). The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error. arXiv (Cornell University). 4 indexed citations

Pandit, Vedhas, Maximilian Schmitt, Nicholas Cummins, & Björn W. Schuller. (2019). I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild. OPUS (Augsburg University). 16. 465–470. 1 indexed citations

Janott, Christoph, Maximilian Schmitt, Kun Qian, et al.. (2018). Snoring classified: The Munich-Passau Snore Sound Corpus. Computers in Biology and Medicine. 94. 106–118. 35 indexed citations

Pandit, Vedhas, Nicholas Cummins, Maximilian Schmitt, et al.. (2018). Tracking Authentic and In-the-wild Emotions Using Speech. OPUS (Augsburg University). 1–6. 3 indexed citations

Ren, Zhao, Kun Qian, Zixing Zhang, et al.. (2018). Deep Scalogram Representations for Acoustic Scene Classification. IEEE/CAA Journal of Automatica Sinica. 5(3). 662–669. 88 indexed citations

Ren, Zhao, Nicholas Cummins, Vedhas Pandit, et al.. (2018). Learning Image-based Representations for Heart Sound Classification. OPUS (Augsburg University). 143–147. 56 indexed citations

10.

Pandit, Vedhas, et al.. (2017). Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data.. OPUS (Augsburg University). 8 indexed citations

11.

Schmitt, Maximilian, Christoph Janott, Vedhas Pandit, et al.. (2016). A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation.. OPUS (Augsburg University). 230–234. 28 indexed citations

12.

Qian, Kun, Christoph Janott, Vedhas Pandit, et al.. (2016). Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis. IEEE Transactions on Biomedical Engineering. 64(8). 1731–1741. 61 indexed citations

13.

Rastogi, Abhinav, et al.. (2015). Efficient Melodic Query Based Audio Search For Hindustani Vocal Compositions.. Zenodo (CERN European Organization for Nuclear Research). 591–597. 4 indexed citations

14.

Rao, Preeti, et al.. (2014). Classification of Melodic Motifs in Raga Music with Time-series Matching. Journal of New Music Research. 43(1). 115–131. 43 indexed citations

15.

Ratha, Nalini, Ruud M. Bolle, Vedhas Pandit, & Vaibhav Vaish. (2002). Robust fingerprint authentication using local structural similarity. 29–34. 115 indexed citations

16.

Pandit, Vedhas, et al.. (1981). Experimental methods of studying soil structure.. Medical Entomology and Zoology. 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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