Latha Pemula

2 papers and 381 indexed citations i.

About

Latha Pemula is a scholar working on Artificial Intelligence, Ocean Engineering and Industrial relations. According to data from OpenAlex, Latha Pemula has authored 2 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Ocean Engineering and 0 papers in Industrial relations. Recurrent topics in Latha Pemula’s work include Domain Adaptation and Few-Shot Learning (1 paper), Wireless Signal Modulation Classification (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Latha Pemula is often cited by papers focused on Domain Adaptation and Few-Shot Learning (1 paper), Wireless Signal Modulation Classification (1 paper) and Anomaly Detection Techniques and Applications (1 paper). Latha Pemula collaborates with scholars based in United States and Germany. Latha Pemula's co-authors include Peter Gehler, Thomas Brox, Joaquin Zepeda, Karsten Roth, Bernhard Schölkopf, Dhruv Batra, Timothy J. O’Shea and T. Charles Clancy and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2014 48th Asilomar Conference on Signals, Systems and Computers.

In The Last Decade

Co-authorship network of co-authors of Latha Pemula i

Fields of papers citing papers by Latha Pemula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Latha Pemula

Since Specialization
Citations

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