Manik Sharma

2.6k total citations
74 papers, 1.7k citations indexed

About

Manik Sharma is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Manik Sharma has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Manik Sharma's work include Cloud Computing and Resource Management (7 papers), Data Management and Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Manik Sharma is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Data Management and Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Manik Sharma collaborates with scholars based in India, Netherlands and Russia. Manik Sharma's co-authors include Prableen Kaur, Ritu Gautam, Gurvinder Singh, Samriti Sharma, Sankalap Arora, Priyanka Anand, Mamta Mittal, Vinod Kumar, Renu Bhardwaj and Sanjeev Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and RSC Advances.

In The Last Decade

Manik Sharma

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manik Sharma India 21 562 163 150 144 143 74 1.7k
Yugal Kumar India 23 565 1.0× 194 1.2× 169 1.1× 205 1.4× 124 0.9× 87 1.5k
S. Vimal India 19 376 0.7× 107 0.7× 157 1.0× 163 1.1× 136 1.0× 68 1.2k
Bernard Kamsu-Foguem France 26 601 1.1× 266 1.6× 151 1.0× 78 0.5× 382 2.7× 89 2.3k
Babita Pandey India 21 384 0.7× 203 1.2× 144 1.0× 120 0.8× 68 0.5× 87 1.2k
Dharmendra Singh Rajput India 17 776 1.4× 246 1.5× 290 1.9× 298 2.1× 149 1.0× 95 2.1k
Samir Brahim Belhaouari Qatar 24 881 1.6× 174 1.1× 469 3.1× 201 1.4× 106 0.7× 212 2.2k
Alan Jović Croatia 18 743 1.3× 162 1.0× 237 1.6× 116 0.8× 29 0.2× 66 1.9k
Md. Saiful Islam Australia 20 514 0.9× 155 1.0× 167 1.1× 281 2.0× 39 0.3× 112 1.8k
Prashant Kumar Shukla India 26 573 1.0× 175 1.1× 272 1.8× 254 1.8× 100 0.7× 91 2.4k
Zoran Bosnić Slovenia 19 454 0.8× 201 1.2× 99 0.7× 72 0.5× 81 0.6× 54 1.2k

Countries citing papers authored by Manik Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Manik Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manik Sharma

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

All Works

20 of 20 papers shown
1.
Sharma, Manik, et al.. (2025). Single electrode Triboelectric Nanogenerator integrated pacemaker lead for cardiac energy harvesting. Sensors and Actuators A Physical. 390. 116606–116606. 1 indexed citations
2.
Sharma, Manik, Prableen Kaur, & Samriti Sharma. (2024). Metaverse Unveiled: A Comprehensive Analysis of Taxonomy, Applications, and Future Opportunities. Archives of Computational Methods in Engineering. 32(4). 2255–2277. 1 indexed citations
3.
4.
Sharma, Manik. (2023). Implication and challenges of mobile health and blockchain technology for remote patient monitoring. Journal of Taibah University Medical Sciences. 18(6). 1432–1434. 1 indexed citations
5.
Sharma, Manik, et al.. (2023). Comparative analysis of coronally advanced flap using platelet-rich fibrin membrane and amniotic membrane in gingival recession. International Journal of Applied Dental Sciences. 9(2). 372–376. 1 indexed citations
6.
Sharma, Samriti, Gurvinder Singh, & Manik Sharma. (2021). A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans. Computers in Biology and Medicine. 134. 104450–104450. 86 indexed citations
7.
Sharma, Manik. (2021). Drone Technology for Assisting COVID-19 Victims in Remote Areas: Opportunity and Challenges. Journal of Medical Systems. 45(9). 85–85. 11 indexed citations
8.
Sharma, Manik. (2021). RESEARCH AND GOOGLE TREND FOR HUMAN NEUROPSYCHIATRIC DISORDERS AND MACHINE LEARNING: A BRIEF REPORT. Psychiatria Danubina. 33(3). 354–357. 10 indexed citations
9.
Gautam, Ritu & Manik Sharma. (2020). Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis. Journal of Medical Systems. 44(2). 49–49. 115 indexed citations
10.
Sharma, Manik, et al.. (2020). Need of surveillance system to support digital psychological intervention to COVID19 afflicted people in India. International Journal of Social Psychiatry. 67(2). 200–202. 3 indexed citations
11.
Sharma, Manik & Prableen Kaur. (2020). A Comprehensive Analysis of Nature-Inspired Meta-Heuristic Techniques for Feature Selection Problem. Archives of Computational Methods in Engineering. 28(3). 1103–1127. 209 indexed citations
12.
Sharma, Manik. (2020). Design of brain-computer interface-based classification model for mining mental state of COVID-19 afflicted mariner’s. International Maritime Health. 71(4). 298–300. 7 indexed citations
13.
Gautam, Ritu & Manik Sharma. (2020). 2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity. Brain Behavior and Immunity. 88. 948–949. 78 indexed citations
14.
Arora, Sankalap, Harpreet Singh, Manik Sharma, Sanjeev Sharma, & Priyanka Anand. (2019). A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection. IEEE Access. 7. 26343–26361. 184 indexed citations
15.
Gautam, Ritu, Prableen Kaur, & Manik Sharma. (2019). A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings. Progress in Artificial Intelligence. 8(4). 401–424. 41 indexed citations
16.
Kaur, Prableen & Manik Sharma. (2019). Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis. Journal of Medical Systems. 43(7). 204–204. 74 indexed citations
17.
Sharma, Manik, Gurvinder Singh, & Rajinder Singh. (2018). A review of different cost-based distributed query optimizers. Progress in Artificial Intelligence. 8(1). 45–62. 21 indexed citations
18.
Sharma, Manik, Samriti Sharma, & Gurvinder Singh. (2018). Performance Analysis of Statistical and Supervised Learning Techniques in Stock Data Mining. Data. 3(4). 54–54. 35 indexed citations
19.
Sharma, Manik, Gurvinder Singh, & Rohan Bir Singh. (2017). Stark Assessment of Lifestyle Based Human Disorders Using Data Mining Based Learning Techniques. IRBM. 38(6). 305–324. 51 indexed citations
20.
Sharma, Manik, et al.. (2017). Lateral Forehead Flap: A Reliable Flap in Difficult Conditions. 2(1).

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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