Fahim Dalvi

25 papers and 463 indexed citations i.

About

Fahim Dalvi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Fahim Dalvi has authored 25 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Materials Chemistry. Recurrent topics in Fahim Dalvi’s work include Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (7 papers). Fahim Dalvi is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Multimodal Machine Learning Applications (7 papers). Fahim Dalvi collaborates with scholars based in Qatar, Canada and United States. Fahim Dalvi's co-authors include Hassan Sajjad, Nadir Durrani, Yonatan Belinkov, James Glass, Stephan Vogel, Preslav Nakov, Ahmed Abdelalí, Lluı́s Màrquez, Firoj Alam and Kareem Darwish and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Fahim Dalvi i

Fields of papers citing papers by Fahim Dalvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fahim Dalvi

Since Specialization
Citations

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