Manoj Shukla

202 total papers · 1.3k total citations
100 papers, 798 citations indexed

About

Manoj Shukla is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Pathology and Forensic Medicine. According to data from OpenAlex, Manoj Shukla has authored 100 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 34 papers in Computer Networks and Communications and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Manoj Shukla's work include Wireless Communication Networks Research (32 papers), Advanced Wireless Communication Techniques (24 papers) and Cooperative Communication and Network Coding (9 papers). Manoj Shukla is often cited by papers focused on Wireless Communication Networks Research (32 papers), Advanced Wireless Communication Techniques (24 papers) and Cooperative Communication and Network Coding (9 papers). Manoj Shukla collaborates with scholars based in India, United States and Russia. Manoj Shukla's co-authors include Sushil Gupta, Vinay Kumar Srivastava, Mohd Nizam Mansoori, Divya Singh, Priyanka Shukla, Jamal Ahmad, Ambrish Mithal, Satish Chandra, Preeti Dabadghao and Ruchir Gupta and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Manoj Shukla

86 papers receiving 743 citations

Author Peers

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

Author Last Decade Papers Cites
Manoj Shukla 171 153 122 106 83 100 798
Μαρία Παππά 53 0.3× 167 1.1× 34 0.3× 43 0.4× 23 0.3× 82 908
Yongjun Wang 11 0.1× 37 0.2× 11 0.1× 145 1.4× 50 0.6× 58 885
Siyang Wang 30 0.2× 139 0.9× 27 0.2× 34 0.3× 24 0.3× 84 967
Jin Zhang 169 1.0× 196 1.3× 91 0.7× 18 0.2× 19 0.2× 130 976
Chao Yu 74 0.4× 72 0.5× 52 0.4× 29 0.3× 77 0.9× 101 713
Jia He 30 0.2× 187 1.2× 6 0.0× 26 0.2× 251 3.0× 85 981
Guoping 11 0.1× 75 0.5× 16 0.1× 17 0.2× 102 1.2× 112 866
Seung Yun Cho 48 0.3× 65 0.4× 6 0.0× 12 0.1× 49 0.6× 119 874
Teng Teng 76 0.4× 199 1.3× 15 0.1× 29 0.3× 10 0.1× 198 835
Alan Li 35 0.2× 59 0.4× 111 0.9× 22 0.2× 10 0.1× 69 1.0k

Countries citing papers authored by Manoj Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manoj Shukla

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