Citations per year, relative to Rashish Tandon Rashish Tandon (= 1×)
peers
Toshiyasu Matsushima
Countries citing papers authored by Rashish Tandon
Since
Specialization
Citations
This map shows the geographic impact of Rashish Tandon'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 Rashish Tandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashish Tandon more than expected).
This network shows the impact of papers produced by Rashish Tandon. 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 Rashish Tandon. The network helps show where Rashish Tandon may publish in the future.
Co-authorship network of co-authors of Rashish Tandon
This figure shows the co-authorship network connecting the top 25 collaborators of Rashish Tandon.
A scholar is included among the top collaborators of Rashish Tandon 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 Rashish Tandon. Rashish Tandon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
5 of 5 papers shown
1.
Tandon, Rashish, Qi Lei, Alexandros G. Dimakis, & Nikos Karampatziakis. (2017). Gradient Coding: Avoiding Stragglers in Distributed Learning. International Conference on Machine Learning. 3368–3376.196 indexed citations
Tandon, Rashish & Pradeep Ravikumar. (2014). Learning Graphs with a Few Hubs. International Conference on Machine Learning. 602–610.3 indexed citations
4.
Tandon, Rashish, Karthikeyan Shanmugam, Pradeep Ravikumar, & Alexandros G. Dimakis. (2014). On the Information Theoretic Limits of Learning Ising Models. Neural Information Processing Systems. 27. 2303–2311.9 indexed citations
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.