Mayank Kumar Goyal

1.7k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Mayank Kumar Goyal is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Mayank Kumar Goyal has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 7 papers in Information Systems and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mayank Kumar Goyal's work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (5 papers) and Digital Imaging for Blood Diseases (4 papers). Mayank Kumar Goyal is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (5 papers) and Digital Imaging for Blood Diseases (4 papers). Mayank Kumar Goyal collaborates with scholars based in India, United States and Ethiopia. Mayank Kumar Goyal's co-authors include Kalyanmoy Deb, Punit Gupta, Alok Aggarwal, Yogendra Kumar, Lalitha Krishnasamy, Rajesh Kumar Dhanaraj, Mandeep Kaur, Neelam Jain, Sandeep Patel and P. R. Kumar and has published in prestigious journals such as IEEE Internet of Things Journal, Journal of Mechanical Design and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Mayank Kumar Goyal

34 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A combined genetic adaptive search (GeneAS) for engineering design

1996 975 citations Kalyanmoy Deb, Mayank Kumar Goyal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mayank Kumar Goyal India	9	752	745	144	133	130	38	1.3k
Saku Kukkonen Finland	12	983 1.3×	1.0k 1.4×	110 0.8×	138 1.0×	143 1.1×	21	1.6k
Zhengping Liang China	19	832 1.1×	994 1.3×	106 0.7×	100 0.8×	77 0.6×	48	1.4k
Zhenan He China	14	787 1.0×	802 1.1×	239 1.7×	127 1.0×	73 0.6×	48	1.3k
P. Amato Italy	11	762 1.0×	727 1.0×	168 1.2×	151 1.1×	114 0.9×	31	1.2k
Kangjia Qiao China	19	996 1.3×	1.2k 1.6×	86 0.6×	186 1.4×	177 1.4×	52	1.7k
Changhe Li China	19	984 1.3×	1.3k 1.7×	96 0.7×	194 1.5×	165 1.3×	67	1.8k
Karthik Sindhya Finland	17	1.1k 1.5×	914 1.2×	298 2.1×	154 1.2×	100 0.8×	23	1.6k
Fangqing Gu China	17	1.4k 1.9×	1.4k 1.9×	279 1.9×	158 1.2×	108 0.8×	70	1.8k
Ilhem Boussaïd Algeria	4	398 0.5×	680 0.9×	77 0.5×	150 1.1×	182 1.4×	4	1.3k

Countries citing papers authored by Mayank Kumar Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Mayank Kumar Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank Kumar Goyal. 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 Mayank Kumar Goyal. The network helps show where Mayank Kumar Goyal may publish in the future.

Co-authorship network of co-authors of Mayank Kumar Goyal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Goyal, Mayank Kumar, et al.. (2025). V2SeqNet: A robust deep learning framework for malaria parasite stage classification in thin smear microscopic images. 13(5). 1104–1104. 1 indexed citations

2.

Goyal, Mayank Kumar, et al.. (2025). VL-M2C: Leveraging deep learning approach for stage detection of malaria parasites. 13(3). 2 indexed citations

3.

Nallakaruppan, M. K., Rajesh Kumar Dhanaraj, S. Krishnamoorthi, et al.. (2025). A Federated Autoencoder Framework With Explainable AI for Intelligent 6G-IoT Infrastructure Optimization. IEEE Internet of Things Journal. 13(5). 8003–8010. 2 indexed citations

4.

Goyal, Mayank Kumar, et al.. (2025). Air Quality Status and Estimated Health Exposure in Major Metropolitan Indian Cities. Aerosol Science and Engineering. 9(4). 541–552. 1 indexed citations

5.

Goyal, Mayank Kumar, et al.. (2024). An Exploration on Big Data Analytical Techniques: A Review. 123–128. 2 indexed citations

6.

Kaur, Mandeep, et al.. (2024). Transforming Data into Behavioral Insights: A Review of the Internet of Behavior (IoB). 70–75.

7.

Goyal, Mayank Kumar, et al.. (2023). To Study the Impact of AI on Business and Customer Services - A Case Study on Swiggy. International Journal of Advanced Research in Science Communication and Technology. 462–474. 1 indexed citations

8.

Ranjan, S, et al.. (2023). Image Processing-Based Real-Time Detection and Tracking of Human. 1542–1547. 1 indexed citations

9.

Umar, Syed, et al.. (2022). Discriminating the Pneumonia-Positive Images from COVID-19-Positive Images Using an Integrated Convolutional Neural Network. Mathematical Problems in Engineering. 2022. 1–9. 3 indexed citations

10.

Kaur, Mandeep, et al.. (2022). Machine Learning Based Predicting Student’s Grade. 17. 234–237. 1 indexed citations

11.

Gupta, Punit, et al.. (2022). Classification of imbalanced medical data: An empirical study of machine learning approaches. Journal of Intelligent & Fuzzy Systems. 43(2). 1933–1946. 9 indexed citations

12.

Kaur, Mandeep, et al.. (2022). Image Processing based Brain Tumor Detection. 204–209. 1 indexed citations

13.

Gupta, Punit, et al.. (2020). IoT and Cloud Based Healthcare Solution for Diabetic Foot Ulcer. 197–201. 5 indexed citations

14.

Agrawal, Deepika, Sudhakar Pandey, Punit Gupta, & Mayank Kumar Goyal. (2020). Optimization of cluster heads through harmony search algorithm in wireless sensor networks. Journal of Intelligent & Fuzzy Systems. 39(6). 8587–8597. 6 indexed citations

15.

Goyal, Mayank Kumar, Satya Prakash Ghrera, & Jai Prakash Gupta. (2017). Reducing the Number of Forward Nodes from 1-Hop Nodes to Cover 2-Hop Nodes with Network Coding. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 13–17.

16.

Patel, Sandeep, Punit Gupta, Mayank Kumar Goyal, & Alok Agarwal. (2013). Low Cost Hardware Design of a Web Server for Home Automation Systems. 521–525. 8 indexed citations

17.

Gupta, Punit, Mayank Kumar Goyal, & P. R. Kumar. (2013). Trust and reliability based load balancing algorithm for cloud IaaS. 5 indexed citations

18.

Goyal, Mayank Kumar, et al.. (2012). QoS based trust management model for Cloud IaaS. 843–847. 29 indexed citations

19.

Goyal, Mayank Kumar, Alok Aggarwal, & Neelam Jain. (2012). Effect of change in rate of genetic algorithm operator on composition of signatures for misuse intrusion detection system. 669–672. 8 indexed citations

20.

Deb, Kalyanmoy & Mayank Kumar Goyal. (1997). Optimizing Engineering Designs Using a Combined Genetic Search.. 521–528. 63 indexed citations

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.

Explore authors with similar magnitude of impact