Maxinder S Kanwal

9 total papers · 1.1k total citations
2 papers, 366 citations indexed

About

Maxinder S Kanwal is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Maxinder S Kanwal has authored 2 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Maxinder S Kanwal's work include Stochastic Gradient Optimization Techniques (2 papers), Advanced Graph Neural Networks (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Maxinder S Kanwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Advanced Graph Neural Networks (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Maxinder S Kanwal collaborates with scholars based in United States, Poland and Canada. Maxinder S Kanwal's co-authors include Nicolas Ballas, Stanisław Jastrzȩbski, Aaron Courville, Asja Fischer, Emmanuel Bengio, Devansh Arpit, David Krueger, Tegan Maharaj, Yoshua Bengio and Simon Lacoste-Julien and has published in prestigious journals such as PolyPublie (École Polytechnique de Montréal) and Jagiellonian University Repository (Jagiellonian University).

In The Last Decade

Maxinder S Kanwal

2 papers receiving 357 citations

Hit Papers

A closer look at memoriza... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maxinder S Kanwal 291 157 25 20 18 2 366
Emmanuel Bengio 302 1.0× 157 1.0× 25 1.0× 20 1.0× 18 1.0× 4 378
Sam Bond-Taylor 130 0.4× 123 0.8× 12 0.5× 21 1.1× 37 2.1× 5 395
Petru Soviany 153 0.5× 162 1.0× 10 0.4× 24 1.2× 21 1.2× 3 361
Yuanyi Zhong 184 0.6× 263 1.7× 15 0.6× 22 1.1× 41 2.3× 9 387
Bangalore Ravi Kiran 281 1.0× 150 1.0× 17 0.7× 11 0.6× 13 0.7× 8 390
Qinxue Meng 225 0.8× 59 0.4× 14 0.6× 19 0.9× 23 1.3× 9 388
Anand Madhavan 216 0.7× 174 1.1× 5 0.2× 15 0.8× 15 0.8× 8 440
Tejalal Choudhary 193 0.7× 170 1.1× 13 0.5× 7 0.3× 69 3.8× 9 417
Yaroslav Ganin 202 0.7× 160 1.0× 13 0.5× 10 0.5× 39 2.2× 5 377
Timur Garipov 258 0.9× 179 1.1× 8 0.3× 4 0.2× 23 1.3× 9 389

Countries citing papers authored by Maxinder S Kanwal

Since Specialization
Citations

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

Fields of papers citing papers by Maxinder S Kanwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxinder S Kanwal. 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 Maxinder S Kanwal. The network helps show where Maxinder S Kanwal may publish in the future.

Co-authorship network of co-authors of Maxinder S Kanwal

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

All Works

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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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