Subramanyam Mallela

5 papers and 342 indexed citations i.

About

Subramanyam Mallela is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Subramanyam Mallela has authored 5 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Subramanyam Mallela’s work include Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (2 papers) and Software Engineering Research (2 papers). Subramanyam Mallela is often cited by papers focused on Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (2 papers) and Software Engineering Research (2 papers). Subramanyam Mallela collaborates with scholars based in India and United States. Subramanyam Mallela's co-authors include Inderjit S. Dhillon, Rahul Kumar, Soumen Chakrabarti, Kunal Punera and Sandeep Srivastava and has published in prestigious journals such as Journal of Machine Learning Research, Computer Networks and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Subramanyam Mallela i

Fields of papers citing papers by Subramanyam Mallela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Subramanyam Mallela

Since Specialization
Citations

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