Aparajita Haldar

11 papers and 318 indexed citations i.

About

Aparajita Haldar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Aparajita Haldar has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Aparajita Haldar’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (3 papers). Aparajita Haldar is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (3 papers). Aparajita Haldar collaborates with scholars based in United Kingdom, India and United States. Aparajita Haldar's co-authors include Benjamin Van Durme, Rachel Rudinger, Adam Poliak, Jason Naradowsky, Ellie Pavlick, Aaron Steven White, J. Edward Hu, Advait Balaji, Veeky Baths and Hakan Ferhatosmanoğlu and has published in prestigious journals such as Proceedings of the VLDB Endowment, World Wide Web and ACM Transactions on Spatial Algorithms and Systems.

In The Last Decade

Co-authorship network of co-authors of Aparajita Haldar i

Fields of papers citing papers by Aparajita Haldar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aparajita Haldar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025