Sharad Vikram

About

Sharad Vikram is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Sharad Vikram has authored 6 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Materials Chemistry. Recurrent topics in Sharad Vikram’s work include Markov Chains and Monte Carlo Methods (1 paper), Chemical Mechanical Polishing in Microelectronics Manufacturing (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). Sharad Vikram is often cited by papers focused on Markov Chains and Monte Carlo Methods (1 paper), Chemical Mechanical Polishing in Microelectronics Manufacturing (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). Sharad Vikram collaborates with scholars based in United States. Sharad Vikram's co-authors include Zachary C. Lipton, Julian McAuley, Sanjoy Dasgupta, Jianmo Ni, Tajana Rosing, Michael Hannigan, Ashley Collier-Oxandale, William G. Griswold, Andrew Gordon Wilson and Pavel Izmailov and has published in prestigious journals such as Atmospheric measurement techniques, Journal of the American Leather Chemists Association and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Sharad Vikram i

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Fields of papers citing papers by Sharad Vikram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sharad Vikram

Since Specialization

Citations

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

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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