Naina Chaudhary

53 total papers · 675 total citations
32 papers, 218 citations indexed

About

Naina Chaudhary is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Naina Chaudhary has authored 32 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Naina Chaudhary's work include Artificial Intelligence in Healthcare (3 papers), Color Science and Applications (2 papers) and IoT and Edge/Fog Computing (2 papers). Naina Chaudhary is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Color Science and Applications (2 papers) and IoT and Edge/Fog Computing (2 papers). Naina Chaudhary collaborates with scholars based in India, United Arab Emirates and Saudi Arabia. Naina Chaudhary's co-authors include Gurinder Singh, Danish Ather, Rajneesh Kler, S. Vikram Singh, Garima Bhardwaj, Vinita Sharma, Kulbir Singh, Gaurav Aggarwal, Balvinder Shukla and Kireet Joshi and has published in prestigious journals such as AIP conference proceedings.

In The Last Decade

Naina Chaudhary

15 papers receiving 192 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naina Chaudhary 27 27 25 22 20 32 218
Rajneesh Kler 19 0.7× 23 0.9× 23 0.9× 20 0.9× 8 0.4× 31 186
Malathy Sathyamoorthy 31 1.1× 68 2.5× 35 1.4× 29 1.3× 27 1.4× 43 231
Ranjan Walia 48 1.8× 45 1.7× 46 1.8× 41 1.9× 12 0.6× 36 226
Arun Radhakrishnan 27 1.0× 28 1.0× 27 1.1× 25 1.1× 4 0.2× 25 161
Marlon Alberto Piñeres-Melo 71 2.6× 33 1.2× 30 1.2× 31 1.4× 11 0.6× 26 184
S Aswathy 78 2.9× 22 0.8× 47 1.9× 49 2.2× 40 2.0× 32 281
Anupam Singh 23 0.9× 17 0.6× 32 1.3× 26 1.2× 92 4.6× 35 224
S. M. Nuruzzaman Nobel 21 0.8× 18 0.7× 87 3.5× 20 0.9× 43 2.1× 26 219
Shahzad Hassan 20 0.7× 131 4.9× 36 1.4× 54 2.5× 20 1.0× 32 309
Kamlesh Lakhwani 60 2.2× 59 2.2× 43 1.7× 44 2.0× 51 2.5× 32 269

Countries citing papers authored by Naina Chaudhary

Since Specialization
Citations

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

Fields of papers citing papers by Naina Chaudhary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naina Chaudhary

This figure shows the co-authorship network connecting the top 25 collaborators of Naina Chaudhary. A scholar is included among the top collaborators of Naina Chaudhary 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 Naina Chaudhary. Naina Chaudhary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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