Mahendra Kumar Gourisaria

2.0k total citations · 1 hit paper
147 papers, 885 citations indexed

About

Mahendra Kumar Gourisaria is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahendra Kumar Gourisaria has authored 147 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 26 papers in Information Systems and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahendra Kumar Gourisaria's work include Artificial Intelligence in Healthcare (20 papers), Smart Agriculture and AI (11 papers) and Brain Tumor Detection and Classification (11 papers). Mahendra Kumar Gourisaria is often cited by papers focused on Artificial Intelligence in Healthcare (20 papers), Smart Agriculture and AI (11 papers) and Brain Tumor Detection and Classification (11 papers). Mahendra Kumar Gourisaria collaborates with scholars based in India, Saudi Arabia and Chile. Mahendra Kumar Gourisaria's co-authors include Harshvardhan GM, Siddharth Swarup Rautaray, Manjusha Pandey, Himansu Das, Sudhansu Shekhar Patra, Pradeep Kumar Singh, Satish Chandra, Vijander Singh, Rajdeep Chatterjee and Radha Mohan Pattanayak and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Mahendra Kumar Gourisaria

102 papers receiving 848 citations

Hit Papers

A comprehensive survey and analysis of generative models ... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. A comprehensive survey and analysis of generative models in machine learning
    2020 265 citations Harshvardhan GM, Mahendra Kumar Gourisaria et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahendra Kumar Gourisaria India 15 269 138 120 106 84 147 885
Ibrahim Abunadi Saudi Arabia 18 363 1.3× 156 1.1× 157 1.3× 104 1.0× 213 2.5× 46 911
Dharmender Kumar India 14 269 1.0× 100 0.7× 94 0.8× 60 0.6× 41 0.5× 66 832
Hanaa Salem Egypt 15 344 1.3× 95 0.7× 75 0.6× 117 1.1× 107 1.3× 40 872
Saad Alanazi Saudi Arabia 20 376 1.4× 145 1.1× 132 1.1× 58 0.5× 165 2.0× 84 1.1k
Manjusha Pandey India 15 410 1.5× 313 2.3× 195 1.6× 71 0.7× 85 1.0× 86 1.2k
Kolla Bhanu Prakash India 13 182 0.7× 90 0.7× 94 0.8× 41 0.4× 97 1.2× 72 625
Faten Khalid Karim Saudi Arabia 17 203 0.8× 130 0.9× 190 1.6× 54 0.5× 49 0.6× 69 783
Husanbir Singh Pannu India 16 463 1.7× 227 1.6× 141 1.2× 45 0.4× 68 0.8× 41 1.1k
Sankhadeep Chatterjee India 20 338 1.3× 337 2.4× 86 0.7× 48 0.5× 98 1.2× 75 1.2k
Prabhu Jayagopal India 15 222 0.8× 163 1.2× 93 0.8× 49 0.5× 135 1.6× 83 826

Countries citing papers authored by Mahendra Kumar Gourisaria

Since Specialization
Citations

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

Fields of papers citing papers by Mahendra Kumar Gourisaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahendra Kumar Gourisaria

This figure shows the co-authorship network connecting the top 25 collaborators of Mahendra Kumar Gourisaria. A scholar is included among the top collaborators of Mahendra Kumar Gourisaria 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 Mahendra Kumar Gourisaria. Mahendra Kumar Gourisaria 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.
Gourisaria, Mahendra Kumar, et al.. (2025). XAI based Enhanced Fish Disease Detection using Multi-Feature Extraction in Varied Color Spaces. Procedia Computer Science. 258. 2909–2919. 1 indexed citations
2.
Dash, Bibhuti Bhusan, et al.. (2025). Hybrid Binary SGO-GA for solving MAX-SAT problem. Procedia Computer Science. 252. 944–953.
3.
Anand, Nikhil, et al.. (2024). Oil Spill Classification: A Machine Learning Approach. 31. 834–840.
4.
Pattanayak, Binod Kumar, et al.. (2024). Alzheimer's Disease Classification using Capsule Network. 644–649. 2 indexed citations
5.
Gourisaria, Mahendra Kumar, et al.. (2024). Insomnia, Sleep Apnea, Serenity: Unveiling Sleep Disorders with Machine Learning. 1603–1609. 3 indexed citations
6.
7.
Das, Himansu, et al.. (2023). Feature Selection Using Golden Jackal Optimization for Software Fault Prediction. Mathematics. 11(11). 2438–2438. 22 indexed citations
8.
Gourisaria, Mahendra Kumar, et al.. (2023). Keppler Red Giants Classification using a Machine learning approach. 827. 1–6. 1 indexed citations
9.
Das, Himansu, et al.. (2023). Microarray Data Classification using Machine Learning Algorithms. 19. 1–6. 2 indexed citations
10.
Gourisaria, Mahendra Kumar, et al.. (2023). PneuNetV1: A Deep Neural Network for Classification of Pneumothorax Using CXR Images. IEEE Access. 11. 65028–65042. 8 indexed citations
11.
Bilgaiyan, Saurabh, et al.. (2023). Comparative Analysis of Applications of Machine Learning in Credit Card Fraud Detection. 1–7. 5 indexed citations
12.
Das, Himansu, et al.. (2023). Feature selection using differential evolution for microarray data classification. SHILAP Revista de lepidopterología. 3(1). 5 indexed citations
13.
Gourisaria, Mahendra Kumar, et al.. (2022). Diagnosis of Intracranial Tumors via the Selective CNN Data Modeling Technique. Applied Sciences. 12(6). 2900–2900. 18 indexed citations
14.
Gourisaria, Mahendra Kumar, et al.. (2022). Comparison of Garbage Classification Frameworks Using Transfer Learning and CNN. International Journal of Social Ecology and Sustainable Development. 13(9). 1–23. 1 indexed citations
15.
Gourisaria, Mahendra Kumar, et al.. (2022). Software Fault Prediction Using Machine Learning Models. 170–175. 7 indexed citations
16.
Chatterjee, Rajdeep, et al.. (2022). A Fast and Effective Machine Learning Approach for Road Cracks Classification. 2022 IEEE 19th India Council International Conference (INDICON). 1–6.
17.
GM, Harshvardhan, et al.. (2021). Topic Modelling Twitterati Sentiments using Latent Dirichlet Allocation during Demonetization. International Conference on Computing for Sustainable Global Development. 811–815. 1 indexed citations
18.
Gourisaria, Mahendra Kumar, et al.. (2021). Performance Analysis of Machine Learning Algorithms for Prediction of Liver Disease. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON). 1–7. 24 indexed citations
19.
Anand, Abhishek, et al.. (2020). Analysis and Prediction of Chronic Heart Diseases Using Machine Learning Classification Models. International Journal of Advanced Trends in Computer Science and Engineering. 9(5). 8479–8487. 5 indexed citations
20.
Gourisaria, Mahendra Kumar, et al.. (2020). A Review on Mobile Cloud Computing. Smart innovation, systems and technologies. 209–218. 1 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.

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