This map shows the geographic impact of Nihar B. Shah'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 Nihar B. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihar B. Shah more than expected).
This network shows the impact of papers produced by Nihar B. Shah. 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 Nihar B. Shah. The network helps show where Nihar B. Shah may publish in the future.
Co-authorship network of co-authors of Nihar B. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Nihar B. Shah.
A scholar is included among the top collaborators of Nihar B. Shah 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 Nihar B. Shah. Nihar B. Shah is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Noothigattu, Ritesh, Nihar B. Shah, & Ariel D. Procaccia. (2018). Choosing How to Choose Papers. arXiv (Cornell University).1 indexed citations
10.
Heckel, Reinhard, Nihar B. Shah, Kannan Ramchandran, & Martin J. Wainwright. (2016). Active Ranking from Pairwise Comparisons and the Futility of Parametric Assumptions.. arXiv (Cornell University).2 indexed citations
11.
Shah, Nihar B. & Dengyong Zhou. (2016). No oops, you won't do it again: mechanisms for self-correction in crowdsourcing. International Conference on Machine Learning. 1–10.12 indexed citations
Shah, Nihar B. & Martin J. Wainwright. (2015). Simple, Robust and Optimal Ranking from Pairwise Comparisons. Journal of Machine Learning Research. 18(199). 1–38.20 indexed citations
14.
Shah, Nihar B. & Dengyong Zhou. (2014). Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing. arXiv (Cornell University). 28. 1–9.49 indexed citations
Shah, Nihar B.. (2004). Using Distributed Computing To Improve The Performance Of Genetic Algorithms For Job Shop Scheduling Problems. OhioLink ETD Center (Ohio Library and Information Network).2 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.