Jeevana Priya Inala

About

Jeevana Priya Inala is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Jeevana Priya Inala has authored 7 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Jeevana Priya Inala’s work include Reinforcement Learning in Robotics (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Jeevana Priya Inala is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Jeevana Priya Inala collaborates with scholars based in United States. Jeevana Priya Inala's co-authors include Armando Solar-Lezama, Tao Du, Daniela Rus, Andrew Spielberg, Wojciech Matusik, Adriana Schulz, Yewen Pu, Osbert Bastani, Dinesh Jayaraman and Rishabh Singh and has published in prestigious journals such as ACM Transactions on Graphics, Proceedings of the ACM on Programming Languages and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Jeevana Priya Inala i

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Fields of papers citing papers by Jeevana Priya Inala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeevana Priya Inala. 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 Jeevana Priya Inala. The network helps show where Jeevana Priya Inala may publish in the future.

Countries citing papers authored by Jeevana Priya Inala

Since Specialization

Citations

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