Parag Verma

27 papers and 244 indexed citations i.

About

Parag Verma is a scholar working on Artificial Intelligence, Otorhinolaryngology and Surgery. According to data from OpenAlex, Parag Verma has authored 27 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Otorhinolaryngology and 5 papers in Surgery. Recurrent topics in Parag Verma’s work include Advanced Malware Detection Techniques (3 papers), Sinusitis and nasal conditions (3 papers) and Head and Neck Surgical Oncology (3 papers). Parag Verma is often cited by papers focused on Advanced Malware Detection Techniques (3 papers), Sinusitis and nasal conditions (3 papers) and Head and Neck Surgical Oncology (3 papers). Parag Verma collaborates with scholars based in India, Saudi Arabia and Morocco. Parag Verma's co-authors include Ankur Dumka, Alaknanda Ashok, Anuj Bhardwaj, Shuchi Upadhyay, Wei‐Chiang Hong, Rajeev Tiwari, Yi‐Hsuan Yeh, Rajesh Singh, Praveen Kumar Malik and Seifedine Kadry and has published in prestigious journals such as IEEE Access, Journal of Oral and Maxillofacial Surgery and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Parag Verma i

Fields of papers citing papers by Parag Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parag Verma

Since Specialization
Citations

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