Harshvardhan GM

875 total citations · 1 hit paper
20 papers, 488 citations indexed

About

Harshvardhan GM is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Harshvardhan GM has authored 20 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Harshvardhan GM's work include Generative Adversarial Networks and Image Synthesis (4 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (3 papers). Harshvardhan GM is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), AI in cancer detection (4 papers) and COVID-19 diagnosis using AI (3 papers). Harshvardhan GM collaborates with scholars based in India, United States and Chile. Harshvardhan GM's co-authors include Mahendra Kumar Gourisaria, Manjusha Pandey, Siddharth Swarup Rautaray, Satish Chandra, Vijander Singh, Debanjan Konar, Xin Gao, Min Xu, Tianyang Wang and Pradeep Kumar Singh and has published in prestigious journals such as IEEE Access, Applied Sciences and Image and Vision Computing.

In The Last Decade

Harshvardhan GM

20 papers receiving 472 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 comprehensive survey and analysis of generative models in machine learning

2020 265 citations Harshvardhan GM, Mahendra Kumar Gourisaria et al. Computer Science Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harshvardhan GM India	11	162	96	49	46	39	20	488
Kaniz Fatema Bangladesh	9	181 1.1×	56 0.6×	35 0.7×	78 1.7×	36 0.9×	31	487
Mohamed Ezz Saudi Arabia	13	159 1.0×	51 0.5×	47 1.0×	40 0.9×	97 2.5×	47	447
Eslam Al Maghayreh Jordan	11	207 1.3×	78 0.8×	47 1.0×	77 1.7×	55 1.4×	36	467
Paul Trundle United Kingdom	6	164 1.0×	106 1.1×	41 0.8×	78 1.7×	30 0.8×	7	487
Kolla Bhanu Prakash India	13	182 1.1×	90 0.9×	41 0.8×	97 2.1×	94 2.4×	72	625
Santi Wulan Purnami Indonesia	10	156 1.0×	107 1.1×	41 0.8×	64 1.4×	70 1.8×	80	447
Md. Sarwar Kamal Bangladesh	14	195 1.2×	46 0.5×	29 0.6×	69 1.5×	51 1.3×	51	633
Manas Ranjan Senapati India	15	258 1.6×	141 1.5×	51 1.0×	111 2.4×	21 0.5×	48	543
Durgesh Srivastava India	10	203 1.3×	81 0.8×	37 0.8×	39 0.8×	91 2.3×	42	532
Yunlei Sun China	7	161 1.0×	56 0.6×	53 1.1×	65 1.4×	63 1.6×	15	384

Countries citing papers authored by Harshvardhan GM

Since Specialization

Citations

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

Fields of papers citing papers by Harshvardhan GM

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshvardhan GM

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

All Works

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20 of 20 papers shown

GM, Harshvardhan, et al.. (2024). Machine learning applications in breast cancer prediction using mammography. Image and Vision Computing. 152. 105338–105338. 1 indexed citations

GM, Harshvardhan, et al.. (2023). The Influence of Image Cropping Sizes on Mammographic Breast Cancer Classification Using CNN. 226–229. 1 indexed citations

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

Chandra, Satish, Mahendra Kumar Gourisaria, Harshvardhan GM, et al.. (2022). Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access. 10. 13715–13727. 25 indexed citations

GM, Harshvardhan, et al.. (2022). GM Score: Incorporating Inter-Class and Intra-Class Generator Diversity, Discriminability of Latent Space, and Sample Fidelity for Evaluating GANs. Arabian Journal for Science and Engineering. 48(2). 2207–2230. 2 indexed citations

Gourisaria, Mahendra Kumar, et al.. (2022). Data science appositeness in diabetes mellitus diagnosis for healthcare systems of developing nations. IET Communications. 16(5). 532–547. 14 indexed citations

Gourisaria, Mahendra Kumar, et al.. (2022). Weed Detection in Soybean Crop Using Deep Neural Network. Pertanika journal of science & technology. 31(1). 401–423. 9 indexed citations

GM, Harshvardhan, Mahendra Kumar Gourisaria, Pradeep Kumar Singh, et al.. (2022). On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective. IEEE Access. 10. 30870–30889. 6 indexed citations

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

10.

Chandra, Satish, Mahendra Kumar Gourisaria, Harshvardhan GM, et al.. (2021). Semantic Analysis of Sentiments through Web-Mined Twitter Corpus.. 122–135. 10 indexed citations

11.

Gourisaria, Mahendra Kumar, et al.. (2021). Distinguishing Pneumonia and COVID-19: Utilizing Computer Vision to Mimic Clinician Efficacy. 834–841. 11 indexed citations

12.

GM, Harshvardhan, Mahendra Kumar Gourisaria, Siddharth Swarup Rautaray, & Manjusha Pandey. (2021). UBMTR: Unsupervised Boltzmann machine-based time-aware recommendation system. Journal of King Saud University - Computer and Information Sciences. 34(8). 6400–6413. 27 indexed citations

13.

Chandra, Satish, et al.. (2021). A Data Mining based Target Regression-Oriented Approach to Modelling of Health Insurance Claims. 1168–1175. 14 indexed citations

14.

Gourisaria, Mahendra Kumar, et al.. (2021). Real Estate Cost Estimation Through Data Mining Techniques. IOP Conference Series Materials Science and Engineering. 1099(1). 12053–12053. 9 indexed citations

15.

GM, Harshvardhan, et al.. (2021). Efficacy Determination of Various Base Networks in Single Shot Detector for Automatic Mask Localisation in a Post COVID Setup. Journal of Experimental & Theoretical Artificial Intelligence. 35(3). 345–364. 2 indexed citations

16.

Gourisaria, Mahendra Kumar, et al.. (2021). Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals. International Journal of E-Health and Medical Communications. 12(6). 1–24. 15 indexed citations

17.

GM, Harshvardhan, et al.. (2021). Juxtaposing inference capabilities of deep neural models over posteroanterior chest radiographs facilitating COVID-19 detection. Journal of Interdisciplinary Mathematics. 24(2). 299–325. 19 indexed citations

18.

GM, Harshvardhan, et al.. (2021). Cardiovascular risk assessment using data mining inferencing and feature engineering techniques. International Journal of Information Technology. 13(5). 2011–2023. 13 indexed citations

19.

GM, Harshvardhan, Mahendra Kumar Gourisaria, Manjusha Pandey, & Siddharth Swarup Rautaray. (2020). A comprehensive survey and analysis of generative models in machine learning. Computer Science Review. 38. 100285–100285. 265 indexed citations breakdown →

20.

GM, Harshvardhan, et al.. (2020). A Dual Approach for Credit Card Fraud Detection using Neural Network and Data Mining Techniques. 1–7. 26 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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