Murali Shanker

45 total papers · 919 total citations
32 papers, 632 citations indexed

About

Murali Shanker is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Murali Shanker has authored 32 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Murali Shanker's work include Simulation Techniques and Applications (9 papers), Neural Networks and Applications (5 papers) and Distributed and Parallel Computing Systems (5 papers). Murali Shanker is often cited by papers focused on Simulation Techniques and Applications (9 papers), Neural Networks and Applications (5 papers) and Distributed and Parallel Computing Systems (5 papers). Murali Shanker collaborates with scholars based in United States, Hong Kong and Canada. Murali Shanker's co-authors include Michael Y. Hu, Ming S. Hung, Ikpe Justice Akpan, Marvin D. Troutt, Kholekile L. Gwebu, Jing Wang, Kevin J. Trainor, Rouzbeh Razavi, Jing Wang and B. Eddy Patuwo and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and International Journal of Production Economics.

In The Last Decade

Murali Shanker

30 papers receiving 597 citations

Author Peers

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

Author Last Decade Papers Cites
Murali Shanker 124 115 60 58 49 32 632
T. Miranda Lakshmi 162 1.3× 116 1.0× 51 0.8× 110 1.9× 87 1.8× 17 613
XinYing Chew 69 0.6× 107 0.9× 94 1.6× 68 1.2× 34 0.7× 77 700
Rao Faizan Ali 50 0.4× 113 1.0× 56 0.9× 63 1.1× 100 2.0× 38 621
Anil Jadhav 114 0.9× 170 1.5× 31 0.5× 25 0.4× 86 1.8× 25 669
Shuping Zhao 160 1.3× 117 1.0× 99 1.6× 39 0.7× 25 0.5× 35 644
Wanru Wang 82 0.7× 116 1.0× 45 0.8× 87 1.5× 62 1.3× 27 699
Changyuan Gao 266 2.1× 108 0.9× 60 1.0× 121 2.1× 124 2.5× 36 765
Ayman E. Khedr 92 0.7× 227 2.0× 40 0.7× 28 0.5× 85 1.7× 67 603
Vinay Singh 80 0.6× 331 2.9× 58 1.0× 60 1.0× 67 1.4× 26 763
Odai Enaizan 77 0.6× 115 1.0× 72 1.2× 23 0.4× 39 0.8× 18 561

Countries citing papers authored by Murali Shanker

Since Specialization
Citations

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

Fields of papers citing papers by Murali Shanker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murali Shanker

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