Vidya Rajaram

2 papers and 154 indexed citations i.

About

Vidya Rajaram is a scholar working on Artificial Intelligence, Computer Science Applications and Industrial relations. According to data from OpenAlex, Vidya Rajaram has authored 2 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Science Applications and 0 papers in Industrial relations. Recurrent topics in Vidya Rajaram’s work include Adaptation to Concept Drift in Data Streams (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper) and Machine Learning and Algorithms (1 paper). Vidya Rajaram is often cited by papers focused on Adaptation to Concept Drift in Data Streams (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper) and Machine Learning and Algorithms (1 paper). Vidya Rajaram collaborates with scholars based in United States. Vidya Rajaram's co-authors include Jonathan L. Herlocker, Erin Sullivan, Margaret Burnett, Simone Stumpf, Thomas G. Dietterich, Lida Li and Weng‐Keen Wong and has published in prestigious journals such as International Journal of Human-Computer Studies and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Vidya Rajaram i

Fields of papers citing papers by Vidya Rajaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vidya Rajaram

Since Specialization
Citations

This map shows the geographic impact of Vidya Rajaram'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 Vidya Rajaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidya Rajaram 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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2025