Raul Puri

1.5k citations
4 papers · 155 · h-index 4

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • Natural Language Processing Techniques
    • Machine Learning in Healthcare
    • Artificial Intelligence in Games
    • Advanced Text Analysis Techniques

Papers in

Journals
Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
Partner nations
United StatesHong Kong

In The Last Decade

Raul Puri

4 papers receiving 147 citations

Peers

Raul Puri
Comparison fields: 5 of 42
  • Health Informatics 14
  • Artificial Intelligence 115
  • General Social Sciences 5
  • Computer Vision and Pattern Recognition 27
  • Geology 5
Replace Jasmijn Bastings with:
Jasmijn Bastings United States
Collin Burns United States
Hongying Zan China
Khalid Almubarak Saudi Arabia
Yixin Ou Singapore
Thomas Scialom France
Ivana Balažević United Kingdom
Pablo Messina Chile
Marco Virgolin Netherlands
Tobias Falke Germany
Raul Puri relative to Jasmijn Bastings United States Jasmijn Bastings's profile →
Citations per field
00.5×1.5×1.8×
Jasmijn Bastings · 1×
Citations per year

Countries citing papers authored by Raul Puri

Since Specialization
Citations

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

Fields of papers citing papers by Raul Puri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Raul Puri, 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 Raul Puri Line = papers co-authored together Raul Puri links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Raul Puri

Raul Puri is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics and General Social Sciences, having authored 4 papers that have together received 155 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Domain Adaptation and Few-Shot Learning (1 paper), Multimodal Machine Learning Applications (1 paper), Computational and Text Analysis Methods (1 paper), Biomedical Text Mining and Ontologies (1 paper), 3D Shape Modeling and Analysis (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Health Informatics (14 citations), Artificial Intelligence (115 citations), General Social Sciences (5 citations), Computer Vision and Pattern Recognition (27 citations) and Geology (5 citations). Raul Puri has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Hoo-Chang Shin, Yang Zhang, Anima Anandkumar, Peng Xu, Pascale Fung, Rishi Puri and Avideh Zakhor. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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