Rajit Nair

76 total papers · 1.3k total citations
39 papers, 352 citations indexed

About

Rajit Nair is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Rajit Nair has authored 39 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Rajit Nair's work include IoT and Edge/Fog Computing (7 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (4 papers). Rajit Nair is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (4 papers). Rajit Nair collaborates with scholars based in India, Iraq and United States. Rajit Nair's co-authors include Ali Rizwan, Ramgopal Kashyap, Miguel Botto-Tobar, Mukesh Soni, Syam Machinathu Parambil Gangadharan, Deepika Koundal, Preeti Sharma, Shubham Joshi, Tejas Patel and Santosh Kumar Vishwakarma and has published in prestigious journals such as Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing and Diagnostics.

In The Last Decade

Rajit Nair

24 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Rajit Nair 94 93 69 68 48 39 352
Vishal Dutt 119 1.3× 73 0.8× 66 1.0× 40 0.6× 47 1.0× 37 380
Saima Anwar Lashari 132 1.4× 32 0.3× 75 1.1× 105 1.5× 65 1.4× 42 399
Tarek M. Hassan 91 1.0× 72 0.8× 58 0.8× 51 0.8× 49 1.0× 28 353
Yan Wang 146 1.6× 85 0.9× 105 1.5× 25 0.4× 28 0.6× 33 374
Summrina Kanwal 185 2.0× 61 0.7× 67 1.0× 46 0.7× 49 1.0× 22 369
Sadaf Yasmin 104 1.1× 71 0.8× 96 1.4× 63 0.9× 16 0.3× 29 319
Hamed Nassar 67 0.7× 65 0.7× 56 0.8× 118 1.7× 98 2.0× 52 347
Xinxin Zhou 165 1.8× 39 0.4× 99 1.4× 58 0.9× 47 1.0× 29 382
Àbdulsattar Abdullah Hamad 78 0.8× 47 0.5× 44 0.6× 118 1.7× 59 1.2× 43 318
Sahalu B. Junaidu 187 2.0× 59 0.6× 47 0.7× 104 1.5× 87 1.8× 39 378

Countries citing papers authored by Rajit Nair

Since Specialization
Citations

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

Fields of papers citing papers by Rajit Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajit Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Rajit Nair. A scholar is included among the top collaborators of Rajit Nair 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 Rajit Nair. Rajit Nair 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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