Sanjoy Mahajan

637 citations
35 papers · 347 indexed · h-index 8
Topics
Visual and Cognitive Learning Processes (4 papers)Speech Recognition and Synthesis (4 papers)Experimental and Theoretical Physics Studies (4 papers)
Partner nations
United StatesSwedenIndia

In The Last Decade

Sanjoy Mahajan

26 papers receiving 304 citations

Peers

Sanjoy Mahajan
Comparison fields: 5 of 73
  • Artificial Intelligence 189
  • Signal Processing 43
  • Electrical and Electronic Engineering 42
  • Economics and Econometrics 35
  • Computer Vision and Pattern Recognition 30
Replace Mudasir Ahmad Wani with:
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Robert E. Mercer Canada
Young D. Kwon United Kingdom
David Kauchak United States
Ruifeng Xu China
Umang Gupta India
James Williams United States
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Wolfgang Menzel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Sanjoy Mahajan

Since Specialization
Citations

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

Fields of papers citing papers by Sanjoy Mahajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjoy Mahajan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 2
6
A Student's Guide to Newton's Laws of Motion
2
7 0
8 1
9 1
10 0
11 1
12 2
13 1
14 4
15
The Art of Insight in Science and Engineering: Mastering Complexity
6
16 15
17 24
18
Order-of-Magnitude Physics: Understanding the World with Dimensional Analysis, Educated Guesswork, and White Lies
7
19 6
20 45

About Sanjoy Mahajan

Sanjoy Mahajan is a scholar working on Architecture, Statistical and Nonlinear Physics and Developmental and Educational Psychology, having authored 35 papers that have together received 347 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (4 papers), Speech Recognition and Synthesis (4 papers) and Experimental and Theoretical Physics Studies (4 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Signal Processing (43 citations) and Computer Science Applications (21 citations). Sanjoy Mahajan has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Kai-Fu Lee, David R. Karger, Mark S. Ackerman, Carl J. Johnson, Hsiao-Wuen Hon, K.-F. Lee, Minjoo Hwang, R. Reddy, E. S. Phinney and Peter Goldreich. Their work appears in journals such as Artificial Intelligence, American Journal of Physics and Value in Health.

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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