Ashwin Ramesh Babu

589 total citations · 1 hit paper
21 papers, 322 citations indexed

About

Ashwin Ramesh Babu is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Ashwin Ramesh Babu has authored 21 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Ashwin Ramesh Babu's work include Adversarial Robustness in Machine Learning (5 papers), Human Pose and Action Recognition (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Ashwin Ramesh Babu is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Human Pose and Action Recognition (4 papers) and EEG and Brain-Computer Interfaces (4 papers). Ashwin Ramesh Babu collaborates with scholars based in United States. Ashwin Ramesh Babu's co-authors include Fillia Makedon, Akilesh Rajavenkatanarayanan, Maria Kyrarini, Christos Sevastopoulos, Harish Ram Nambiappan, Fotios Lygerakis, Konstantinos Tsiakas, Ashish Jaiswal, Sajad Mousavi and Antonio Guillén and has published in prestigious journals such as SHILAP Revista de lepidopterología and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Ashwin Ramesh Babu

19 papers receiving 310 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Robots in Healthcare

2021 208 citations Maria Kyrarini, Fotios Lygerakis et al. SHILAP Revista de lepidopterología profile →

Peers

Ashwin Ramesh Babu

SP

CVPR

AI

CN

BE

Akilesh Rajavenkatanarayanan United States

Ester Martínez-Martín Spain

Nataša Koceska North Macedonia

Fotios Lygerakis Greece

Harish Ram Nambiappan United States

Takenori Obo Japan

Christos Sevastopoulos United States

Tariq Iqbal United States

Konstantinos Papoutsakis Greece

Midori Sugaya Japan

Akilesh Rajavenkatanarayanan United States

Ashwin Ramesh Babu

93 ×1.2

SP

57 ×0.8

CVPR

65 ×0.9

AI

65 ×1.2

CN

59 ×1.1

BE

Citations per year, relative to Ashwin Ramesh Babu Ashwin Ramesh Babu (= 1×) peers Akilesh Rajavenkatanarayanan

Countries citing papers authored by Ashwin Ramesh Babu

Since Specialization

Citations

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

Fields of papers citing papers by Ashwin Ramesh Babu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwin Ramesh Babu. 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 Ashwin Ramesh Babu. The network helps show where Ashwin Ramesh Babu may publish in the future.

Co-authorship network of co-authors of Ashwin Ramesh Babu

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Ramesh Babu. A scholar is included among the top collaborators of Ashwin Ramesh Babu 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 Ashwin Ramesh Babu. Ashwin Ramesh Babu 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.

Babu, Ashwin Ramesh, et al.. (2025). Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. Proceedings of the AAAI Conference on Artificial Intelligence. 39(26). 27628–27635.

2.

Guillén, Antonio, et al.. (2024). Sustainability of Data Center Digital Twins with Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23832–23834. 3 indexed citations

3.

Babu, Ashwin Ramesh, et al.. (2024). Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23829–23831. 1 indexed citations

4.

Guillén, Antonio, et al.. (2024). Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22322–22330. 5 indexed citations

5.

Jaiswal, Ashish, et al.. (2023). Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning. 83–90. 2 indexed citations

6.

Guillén, Antonio, et al.. (2023). Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. 1–8. 1 indexed citations

7.

Babu, Ashwin Ramesh, et al.. (2023). Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. 1–8. 1 indexed citations

8.

Babu, Ashwin Ramesh, et al.. (2023). Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. 2330–2337. 5 indexed citations

9.

Babu, Ashwin Ramesh, et al.. (2022). Self-Supervised Human Activity Representation for Embodied Cognition Assessment. SHILAP Revista de lepidopterología. 10(1). 33–33. 5 indexed citations

10.

Kyrarini, Maria, Fotios Lygerakis, Akilesh Rajavenkatanarayanan, et al.. (2021). A Survey of Robots in Healthcare. SHILAP Revista de lepidopterología. 9(1). 8–8. 208 indexed citations breakdown →

11.

Babu, Ashwin Ramesh, et al.. (2020). A Multi-modal System to Assess Cognition in Children from their Physical Movements. 6–14. 7 indexed citations

12.

Babu, Ashwin Ramesh, et al.. (2020). Towards cognitive fatigue detection from functional magnetic resonance imaging data. 1–2. 7 indexed citations

13.

Babu, Ashwin Ramesh, et al.. (2020). Personalized system for human gym activity recognition using an RGB camera. 1–7. 15 indexed citations

14.

Babu, Ashwin Ramesh, et al.. (2019). An Intelligent Action Recognition System to assess Cognitive Behavior for Executive Function Disorder. 18. 164–169. 8 indexed citations

15.

Tsiakas, Konstantinos, et al.. (2019). An automated assessment system for embodied cognition in children. 1–6. 12 indexed citations

16.

Rajavenkatanarayanan, Akilesh, Ashwin Ramesh Babu, Konstantinos Tsiakas, & Fillia Makedon. (2018). Monitoring task engagement using facial expressions and body postures. 103–108. 13 indexed citations

17.

Babu, Ashwin Ramesh, et al.. (2018). Multimodal approach for cognitive task performance prediction from body postures, facial expressions and EEG signal. 1–7. 19 indexed citations

18.

Babu, Ashwin Ramesh, et al.. (2018). Facial Expressions as a Modality for Fatigue detection in Robot based Rehabilitation. 112–113. 1 indexed citations

19.

Babu, Ashwin Ramesh, et al.. (2018). A Human Robot Interaction Framework for Robotic Motor Skill Learning. 110–111.

20.

Rajavenkatanarayanan, Akilesh, et al.. (2016). MyoDrive. 1–3. 3 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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