Vasu Sharma

1.4k citations
24 papers · 98 · h-index 6

Impact in

Papers in

Vasu Sharma

20 papers receiving 90 citations

Peers

Vasu Sharma
Comparison fields: 5 of 39
  • Human-Computer Interaction 19
  • Applied Psychology 8
  • Cognitive Neuroscience 25
  • Computer Vision and Pattern Recognition 23
  • Artificial Intelligence 31
Replace Michał Maćkowski with:
Michał Maćkowski Poland
Jaehoon Lee South Korea
Krzysztof Kutt Poland
Michael Schmitz Germany
Athanasios Psaltis Greece
Jeewoo Yoon South Korea
Bret Harsham United States
Kaustubh Hiware India
Assaf B. Spanier Israel
Sangyun Hahn United States
Vasu Sharma relative to Michał Maćkowski Poland Michał Maćkowski's profile →
Citations per field
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Michał Maćkowski · 1×
Citations per year

Countries citing papers authored by Vasu Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Vasu Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vasu Sharma, 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 Vasu Sharma Line = papers co-authored together Vasu Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
'Smart' Cane for the Visually Impaired: Design and Controlled Field Testing of an Affordable Obstacle Detection System
201030
2 201913
3 201812
4 20157
5 20176
6 20156
7 20245
8
User Triggered Bus Identification and Homing System: Making Public Transport Accessible for the Visually Challenged
20103
9 20222
10 20192
11 20182
12 20232
13 20241
14 20251
15 20161
16 20151
17
Induced Attention Invariance: Defending VQA Models against Adversarial Attacks.
20191
18 20191
19 20121
20 20231

About Vasu Sharma

Vasu Sharma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Cognitive Neuroscience and Signal Processing, having authored 24 papers that have together received 98 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Smart Parking Systems Research (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), IoT and Edge/Fog Computing (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Human-Computer Interaction (19 citations), Applied Psychology (8 citations), Cognitive Neuroscience (25 citations), Computer Vision and Pattern Recognition (23 citations) and Artificial Intelligence (31 citations). Vasu Sharma has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Louis‐Philippe Morency, Akshay Kumar, Nishant Agrawal, Rohan Paul, S. Balakrishnan, Kolin Paul, Teruko Mitamura, Ankit Shah, Jeffrey M. Girard and Eric Nyberg. Their work appears in journals such as Energies, Cancer Research, IFAC-PapersOnLine and 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA).

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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