Pranav Shyam

5.5k citations
2 papers · 25 indexed · h-index 2
Topics
Human Pose and Action Recognition (1 paper)Auction Theory and Applications (1 paper)Domain Adaptation and Few-Shot Learning (1 paper)
Journals
International Conference on Machine LearningePrints@IISc (Indian Institute of Science)
Partner nations
SwitzerlandIndiaPoland

In The Last Decade

Pranav Shyam

2 papers receiving 24 citations

Peers

Pranav Shyam
Comparison fields: 5 of 16
  • Artificial Intelligence 19
  • Computer Vision and Pattern Recognition 13
  • Cognitive Neuroscience 3
  • Management Science and Operations Research 3
  • Control and Systems Engineering 2
Replace Stavros Mallios with:
Stavros Mallios United States
Carolin Haas Germany
Łukasz Lew United States
Y. C. Zhu China
Pauline Luc United Kingdom
Chiheb Trabelsi Canada
Siddhant M. Jayakumar United States
John Thickstun United States
Hengyuan Hu United States
Chris Waites United States
Pranav Shyam relative to Stavros Mallios United States Stavros Mallios's profile →
Citations per field
00.5×2.6×
Stavros Mallios · 1×
Citations per year

Countries citing papers authored by Pranav Shyam

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Shyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Shyam

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Model-Based Active Exploration
12
2
Attentive Recurrent Comparators
13

About Pranav Shyam

Pranav Shyam is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 2 papers that have together received 25 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (1 paper), Auction Theory and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (13 citations), Artificial Intelligence (19 citations) and Management Science and Operations Research (3 citations). Pranav Shyam has collaborated with scholars based in Switzerland, India and Poland. Frequent co-authors include Wojciech Jaśkowski, Faustino Gomez and Ambedkar Dukkipati. Their work appears in journals such as International Conference on Machine Learning and ePrints@IISc (Indian Institute of Science).

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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