Sridha Sridharan

13.4k citations
480 papers · 8.3k indexed · h-index 44

Sridha Sridharan

440 papers receiving 7.8k citations

Peers

Sridha Sridharan
Comparison fields: 5 of 178
  • Signal Processing 3.2k
  • Computer Vision and Pattern Recognition 3.9k
  • Artificial Intelligence 3.2k
  • Human-Computer Interaction 266
  • Experimental and Cognitive Psychology 534
Replace Clinton Fookes with:
Clinton Fookes Australia
Vittorio Murino Italy
Gerhard Rigoll Germany
Guodong Guo China
Zhen Lei China
Nicholas D. Lane United Kingdom
Badong Chen China
Weihong Deng China
Andrea Cavallaro United Kingdom
Kate Saenko United States
Sridha Sridharan relative to Clinton Fookes Australia Clinton Fookes's profile →
Citations per field
00.5×3.1×
Clinton Fookes · 1×
Citations per year

Countries citing papers authored by Sridha Sridharan

Since Specialization
Citations

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

Fields of papers citing papers by Sridha Sridharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sridha Sridharan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sridha Sridharan Line = papers co-authored together Sridha Sridharan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20221
4
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
202021
5
Heart Sound Segmentation using Bidirectional LSTMs with Attention
202060
6
Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection
20203
7 20188
8
Meta transfer learning for facial emotion recognition
201811
9
Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories
20181
10
Task specific visual saliency prediction with memory augmented conditional generative adversarial networks
201816
11
Tracking by prediction: A deep generative model for multi-person localisation and tracking
201839
12 201525
13
A Continuous Speech Recognition Evaluation Protocol for the AVICAR Database
20085
14 20085
15 20065
16
Importance prioritisation coding in JPEG 2000 for interpretability with application to surveillance imagery
20031
17
Multi-Channel Sub-Band Speech Recognition
20018
18
Position-Independent Enhancement of Reverberant Speech
19976
19
A New Approach To Teaching Signal Processing At Undergraduate Level
19962
20
Speech Enhancement Iby Simulation Of Cocktail Party Effect With Neural Network Controlled Iterative Filter
19962

About Sridha Sridharan

Sridha Sridharan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 480 papers that have together received 8.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (165 papers), Speech Recognition and Synthesis (128 papers), Music and Audio Processing (89 papers), Video Surveillance and Tracking Methods (77 papers), Human Pose and Action Recognition (53 papers), Face recognition and analysis (46 papers), Advanced Image and Video Retrieval Techniques (45 papers) and Anomaly Detection Techniques and Applications (43 papers). The work is most often cited by research in Signal Processing (3.2k citations), Computer Vision and Pattern Recognition (3.9k citations) and Artificial Intelligence (3.2k citations). Sridha Sridharan has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Clinton Fookes, Simon Denman, Jason Pelecanos, Tharindu Fernando, Kien Nguyen, David Dean, Robbie Vogt, Patrick Lucey, Simon Lucey and David Ryan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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