Aditya Bhargava

710 total citations
15 papers, 187 citations indexed

About

Aditya Bhargava is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Aditya Bhargava has authored 15 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Aditya Bhargava's work include Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (3 papers). Aditya Bhargava is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (3 papers). Aditya Bhargava collaborates with scholars based in Canada, India and United Kingdom. Aditya Bhargava's co-authors include Grzegorz Kondrak, Ruhi Sarikaya, Aslı Çelikyılmaz, Dilek Hakkani‐Tür, Sittichai Jiampojamarn, Shane Bergsma, Gerald Penn, Himanshu Singh, Bradley Hauer and Ying Xu and has published in prestigious journals such as Theory and applications of categories, Indian Journal of Otolaryngology and Head & Neck Surgery and Empirical Methods in Natural Language Processing.

In The Last Decade

Aditya Bhargava

13 papers receiving 171 citations

Peers

Aditya Bhargava
Arjun Akula United States
Barun Patra United States
Tong Niu United States
Laith H. Baniata South Korea
Chinnadhurai Sankar United States
Aditya Bhargava
Citations per year, relative to Aditya Bhargava Aditya Bhargava (= 1×) peers Koustuv Sinha

Countries citing papers authored by Aditya Bhargava

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Bhargava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Bhargava

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Bhargava. A scholar is included among the top collaborators of Aditya Bhargava based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aditya Bhargava. Aditya Bhargava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Kalra, Vijay K., et al.. (2024). To Study the Microbiological Florae in Patients of Acute Otitis Externa. Indian Journal of Otolaryngology and Head & Neck Surgery. 76(6). 5666–5671.
2.
Bhargava, Aditya, et al.. (2022). Biometric Authentication Based Automated, Secure, and Smart IOT Door Lock System. 1–5. 8 indexed citations
3.
Bhargava, Aditya & Gerald Penn. (2020). Supertagging with CCG primitives. 194–204. 4 indexed citations
4.
Bhargava, Aditya, et al.. (2017). A comparative study of smartphone based app with free field hearing for possible use as a screening test. International Journal of Otorhinolaryngology and Head and Neck Surgery. 3(3). 710–710. 3 indexed citations
5.
Bhargava, Aditya. (2016). Grokking Algorithms: An illustrated guide for programmers and other curious people. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
6.
Bhargava, Aditya, Aslı Çelikyılmaz, Dilek Hakkani‐Tür, & Ruhi Sarikaya. (2013). Easy contextual intent prediction and slot detection. 8337–8341. 53 indexed citations
7.
Bhargava, Aditya & Grzegorz Kondrak. (2012). Leveraging supplemental representations for sequential transduction. North American Chapter of the Association for Computational Linguistics. 396–406. 5 indexed citations
8.
Bhargava, Aditya & Grzegorz Kondrak. (2011). How do you pronounce your name? Improving G2P with transliterations. Meeting of the Association for Computational Linguistics. 399–408. 9 indexed citations
9.
Xu, Ying, et al.. (2011). The Effectiveness of Traditional and Open Relation Extraction for the Slot Filling Task at TAC 2011.. Theory and applications of categories.
10.
Bhargava, Aditya, Bradley Hauer, & Grzegorz Kondrak. (2011). Leveraging Transliterations from Multiple Languages. 36–40. 4 indexed citations
11.
Bergsma, Shane, et al.. (2010). Predicting the Semantic Compositionality of Prefix Verbs. Empirical Methods in Natural Language Processing. 293–303. 5 indexed citations
12.
Bhargava, Aditya & Grzegorz Kondrak. (2010). Language identification of names with SVMs. North American Chapter of the Association for Computational Linguistics. 693–696. 13 indexed citations
13.
Jiampojamarn, Sittichai, et al.. (2010). Transliteration Generation and Mining with Limited Training Resources. Meeting of the Association for Computational Linguistics. 39–47. 29 indexed citations
14.
Jiampojamarn, Sittichai, et al.. (2009). DirecTL. 28–28. 28 indexed citations
15.
Bhargava, Aditya & Grzegorz Kondrak. (2009). Multiple word alignment with profile hidden Markov models. 43–48. 24 indexed citations

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
2026