P. S. Hiremath

1.9k total citations
105 papers, 1.3k citations indexed

About

P. S. Hiremath is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, P. S. Hiremath has authored 105 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 31 papers in Biomedical Engineering and 25 papers in Computational Mechanics. Recurrent topics in P. S. Hiremath's work include Nanofluid Flow and Heat Transfer (25 papers), Fluid Dynamics and Turbulent Flows (21 papers) and Image Retrieval and Classification Techniques (21 papers). P. S. Hiremath is often cited by papers focused on Nanofluid Flow and Heat Transfer (25 papers), Fluid Dynamics and Turbulent Flows (21 papers) and Image Retrieval and Classification Techniques (21 papers). P. S. Hiremath collaborates with scholars based in India, South Africa and United States. P. S. Hiremath's co-authors include P. M. Patil, A. Shashikant, Jagadeesh Pujari, S. Shivashankar, E. Momoniat, Shivanand S. Gornale, Madhavarao Kulkarni, N. M. Bujurke, Prema T. Akkasaligar and D. G. Narayan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Pattern Recognition Letters.

In The Last Decade

P. S. Hiremath

93 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. S. Hiremath India 20 577 430 395 369 172 105 1.3k
Zhiyu Zhu China 18 257 0.4× 200 0.5× 220 0.6× 170 0.5× 31 0.2× 103 974
Peng Huang China 17 145 0.3× 57 0.1× 314 0.8× 88 0.2× 99 0.6× 64 998
Wen Wu China 15 205 0.4× 92 0.2× 338 0.9× 39 0.1× 107 0.6× 37 890
Anhong Wang China 19 111 0.2× 146 0.3× 749 1.9× 34 0.1× 182 1.1× 170 1.2k
Lixia Yang China 13 73 0.1× 57 0.1× 431 1.1× 153 0.4× 454 2.6× 38 941
Tao Wu China 16 92 0.2× 63 0.1× 262 0.7× 163 0.4× 61 0.4× 84 936
Motahar Reza India 13 355 0.6× 227 0.5× 66 0.2× 241 0.7× 6 0.0× 64 713
Mingtao Feng China 17 57 0.1× 169 0.4× 461 1.2× 53 0.1× 51 0.3× 63 909
Asif Mehmood South Korea 16 163 0.3× 56 0.1× 166 0.4× 37 0.1× 40 0.2× 92 782
Soham Sarkar India 11 139 0.2× 43 0.1× 284 0.7× 184 0.5× 157 0.9× 18 634

Countries citing papers authored by P. S. Hiremath

Since Specialization
Citations

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

Fields of papers citing papers by P. S. Hiremath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. S. Hiremath. 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 P. S. Hiremath. The network helps show where P. S. Hiremath may publish in the future.

Co-authorship network of co-authors of P. S. Hiremath

This figure shows the co-authorship network connecting the top 25 collaborators of P. S. Hiremath. A scholar is included among the top collaborators of P. S. Hiremath 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 P. S. Hiremath. P. S. Hiremath 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.
Gornale, Shivanand S., et al.. (2025). A Hybrid Ensemble of Denoising Autoencoders and Deep Learning Models for Fetal Image Analysis. Research at York St John (York St John University).
2.
Hiremath, P. S., et al.. (2025). Scheduling of jobs and autonomous mobile robots: Towards the realization of line-less assembly systems. International Journal of Industrial Engineering Computations. 16(2). 423–440. 1 indexed citations
3.
Hiremath, P. S., et al.. (2024). Evaluation of Speech Enhancement Algorithms for Hearing Aids. 1–5. 1 indexed citations
4.
Narayan, D. G., et al.. (2024). An Efficient and Secure Blockchain Consensus Algorithm Using Game Theory. International Journal of Computer Network and Information Security. 16(2). 92–102.
5.
Patil, P. M., et al.. (2023). Influence of multiple slips and magnetic effects on the quadratic convective flow over a vertical wedge. Asia-Pacific Journal of Chemical Engineering. 18(2). 2 indexed citations
6.
Gornale, Shivanand S., et al.. (2021). Behavioral Biometric Data Analysis for Gender Classification Using Feature Fusion and Machine Learning. Frontiers in Robotics and AI. 8. 685966–685966. 7 indexed citations
7.
Patil, P. M., A. Shashikant, P. S. Hiremath, & E. Momoniat. (2019). Influence of surface roughness on multidiffusive mixed convective nanofluid flow. Physica Scripta. 94(5). 55201–55201. 15 indexed citations
8.
Patil, P. M., A. Shashikant, P. S. Hiremath, & E. Momoniat. (2019). Influence of MHD nanofluid flow on wall heating/cooling. Physica Scripta. 94(10). 105217–105217. 6 indexed citations
9.
Hiremath, P. S., et al.. (2019). Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN. International Journal of Innovative Technology and Exploring Engineering. 9(2S). 83–91.
10.
Gornale, Shivanand S., et al.. (2019). Study of Segmentation Techniques for Assessment of Osteoarthritis in Knee X-ray Images. International Journal of Image Graphics and Signal Processing. 11(2). 48–57. 16 indexed citations
11.
Patil, P. M., et al.. (2019). Impacts of surface roughness on mixed convection nanofluid flow with liquid hydrogen/nitrogen diffusion. International Journal of Numerical Methods for Heat & Fluid Flow. 29(6). 2146–2174. 37 indexed citations
12.
Shivashankar, S., et al.. (2018). Galois Field-based Approach for Rotation and Scale Invariant Texture Classification. International Journal of Image Graphics and Signal Processing. 10(9). 56–64. 5 indexed citations
13.
Patil, P. M., A. Shashikant, & P. S. Hiremath. (2018). Influence of liquid hydrogen and nitrogen on MHD triple diffusive mixed convection nanoliquid flow in presence of surface roughness. International Journal of Hydrogen Energy. 43(43). 20101–20117. 47 indexed citations
14.
Hiremath, P. S., et al.. (2017). Preprocessing MRI Images of Colorectal Cancer. 14(1). 48–59. 7 indexed citations
15.
Gornale, Shivanand S., et al.. (2017). Determination of Osteoarthritis Using Histogram of Oriented Gradients and Multiclass SVM. International Journal of Image Graphics and Signal Processing. 9(12). 41–49. 25 indexed citations
16.
Hiremath, P. S., et al.. (2014). A Novel Approach to Texture Classification using NSCT and LDBP. 36–42. 4 indexed citations
17.
Anami, Basavaraj S., et al.. (2011). Aspect Ratio Based Identification and Classification of Medicinal Plants in Indian Context. 3(11). 698–704. 2 indexed citations
18.
Hiremath, P. S., et al.. (2011). Identification and classification of cocci bacterial cells in digital microscopic images. International Journal of Computational Biology and Drug Design. 4(3). 262–262. 24 indexed citations
19.
Shivashankar, S., et al.. (2010). Cluster Analysis of Customer Reviews Extracted from Web Pages. SHILAP Revista de lepidopterología. 5 indexed citations
20.
Hiremath, P. S., et al.. (2006). Visual Clue Based Extraction of Web Data from Flat and Nested Data Records. 190–193. 2 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

Rankless by CCL
2026