Rajiv Suman

101 total papers · 18.1k total citations
83 papers, 9.7k citations indexed

About

Rajiv Suman is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Rajiv Suman has authored 83 papers receiving a total of 9.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Industrial and Manufacturing Engineering, 15 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Rajiv Suman's work include Digital Transformation in Industry (25 papers), IoT and Edge/Fog Computing (14 papers) and COVID-19 diagnosis using AI (12 papers). Rajiv Suman is often cited by papers focused on Digital Transformation in Industry (25 papers), IoT and Edge/Fog Computing (14 papers) and COVID-19 diagnosis using AI (12 papers). Rajiv Suman collaborates with scholars based in India, United States and United Kingdom. Rajiv Suman's co-authors include Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Shanay Rab, Mohammad Asim Qadri, Shashi Bahl, Raju Vaishya, Ibrahim Haleem Khan, Shahbaz Khan and Ernesto D.R. Santibañez González and has published in prestigious journals such as SHILAP Revista de lepidopterología, RSC Advances and Surface and Interface Analysis.

In The Last Decade

Rajiv Suman

81 papers receiving 9.2k citations

Hit Papers

Understanding the role of... 2020 2026 2022 2024 2022 2021 2020 2022 2020 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Rajiv Suman 1.6k 1.6k 1.4k 860 801 83 9.7k
Ravi Pratap Singh 1.1k 0.7× 1.4k 0.9× 1.4k 1.0× 920 1.1× 764 1.0× 146 8.5k
Mohd Javaid 2.4k 1.5× 3.0k 1.9× 3.3k 2.4× 1.9k 2.3× 1.4k 1.7× 236 18.3k
Abid Haleem 2.4k 1.5× 3.5k 2.2× 3.3k 2.4× 1.8k 2.0× 1.3k 1.6× 368 22.6k
Ang Liu 697 0.4× 4.3k 2.7× 458 0.3× 496 0.6× 544 0.7× 210 8.4k
Yang Lu 1.6k 1.0× 1.8k 1.1× 243 0.2× 743 0.9× 1.2k 1.5× 129 6.4k
Mehrbakhsh Nilashi 1.6k 1.0× 499 0.3× 184 0.1× 1.8k 2.1× 434 0.5× 251 10.5k
A. A. Zaidan 2.6k 1.6× 364 0.2× 988 0.7× 2.7k 3.2× 2.5k 3.1× 260 12.9k
Raymond H. Myers 251 0.2× 1.9k 1.2× 2.1k 1.5× 915 1.1× 276 0.3× 111 23.1k
Philip Lewis 668 0.4× 504 0.3× 193 0.1× 1.3k 1.5× 551 0.7× 121 11.2k
In Lee 1.4k 0.9× 549 0.3× 395 0.3× 618 0.7× 1.2k 1.4× 338 9.5k

Countries citing papers authored by Rajiv Suman

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Suman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Suman

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