Arpit Mittal

14 papers and 664 indexed citations i.

About

Arpit Mittal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Arpit Mittal has authored 14 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Arpit Mittal’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Arpit Mittal is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Arpit Mittal collaborates with scholars based in United Kingdom, United States and India. Arpit Mittal's co-authors include James Thorne, Christos Christodoulopoulos, Andreas Vlachos, Oana Cocarascu, Fréderic Godin, Andrew Hopkinson, Philip H. S. Torr, Matthew B. Blaschko, Andrew Zisserman and Amit Marathe and has published in prestigious journals such as Lecture notes in computer science, Computer Standards & Interfaces and Indian geotechnical journal.

In The Last Decade

Co-authorship network of co-authors of Arpit Mittal i

Fields of papers citing papers by Arpit Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arpit Mittal

Since Specialization
Citations

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