P. S. Hiremath

561 total citations
34 papers, 367 citations indexed

About

P. S. Hiremath is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, P. S. Hiremath has authored 34 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in P. S. Hiremath's work include Mobile Ad Hoc Networks (5 papers), Face and Expression Recognition (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). P. S. Hiremath is often cited by papers focused on Mobile Ad Hoc Networks (5 papers), Face and Expression Recognition (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). P. S. Hiremath collaborates with scholars based in India. P. S. Hiremath's co-authors include S. Shivashankar, Dulal Pal, Ajit Danti, Prema T. Akkasaligar, T. Anuradha, Jagadeesh Pujari, Basavaraj S. Anami and A. Govardhan and has published in prestigious journals such as Soft Computing, Meccanica and Microscopy and Microanalysis.

In The Last Decade

P. S. Hiremath

34 papers receiving 325 citations

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Automated 3D Quantitative Analysis of Digital Microstructure Images of Materials using Stereology 2014 ·P. S. Hiremath, (unknown)	2
2	Variable Transmission Range Power Aware Location Aided Routing 2014 ·P. S. Hiremath, (unknown)	1
3	Fuzzy Adaptive Transmission Range based Power Aware Location Aided Routing 2014 ·P. S. Hiremath, (unknown)	2
4	Microstructure Image Analysis for Estimating Mechanical Properties of Ductile Cast Iron 2014 ·International Journal of Computer Applications ·P. S. Hiremath, (unknown), (unknown)	3
5	Fuzzy inference system for follicle detection in ultrasound images of ovaries 2013 ·Soft Computing ·P. S. Hiremath, (unknown)	10
6	Fuzzy Logic Based Detection of Follicles in Ultrasound Images of Ovaries. 2011 ·Indian International Conference on Artificial Intelligence ·P. S. Hiremath, (unknown)	2
7	Fuzzy Rule Based Classification and Quantification of Graphite Inclusions from Microstructure Images of Cast Iron 2011 ·Microscopy and Microanalysis ·(unknown), (unknown), P. S. Hiremath	6
8	Automated Gram-staining characterisation of bacterial cells using colour and cell wall properties 2011 ·International Journal of Biomedical Engineering and Technology ·P. S. Hiremath, (unknown)	14
9	Script identification in a handwritten document image using texture features 2010 ·P. S. Hiremath, (unknown), S. Shivashankar, (unknown)	26
10	Writer identification in a handwritten document image using texture features 2010 ·P. S. Hiremath, S. Shivashankar, Jagadeesh Pujari, (unknown)	8
11	Follicle detection in ultrasound images of ovaries using active contours method 2010 ·P. S. Hiremath, (unknown)	11
12	Conceptual level similarity measure based review spam detection 2010 ·(unknown), (unknown), P. S. Hiremath, S. Shivashankar	44
13	Visual enhancement of digital ultrasound images using multiscale wavelet domain 2010 ·Pattern Recognition and Image Analysis ·P. S. Hiremath, Prema T. Akkasaligar, (unknown)	13
14	Despeckling Medical Ultrasound Images using the Contourlet Transform. 2009 ·Indian International Conference on Artificial Intelligence ·P. S. Hiremath, Prema T. Akkasaligar, (unknown)	14
15	Recognition of follicles in ultrasound images of ovaries using geometric features 2009 ·P. S. Hiremath, (unknown)	20
16	Support vector machine (SVM) classifier for brain tumor detection 2009 ·(unknown), P. S. Hiremath	16
17	SYMBOLIC FACTORIAL DISCRIMINANT ANALYSIS FOR ILLUMINATION INVARIANT FACE RECOGNITION 2008 ·International Journal of Pattern Recognition and Artificial Intelligence ·P. S. Hiremath, (unknown)	8
18	Extraction of flat and nested data records from web pages 2006 ·(unknown), P. S. Hiremath	1
19	Wavelet Features for Texture Classification and Their Use in Script Identification 2006 ·P. S. Hiremath, S. Shivashankar	2
20	DETECTION OF MULTIPLE FACES IN AN IMAGE USING SKIN COLOR INFORMATION AND LINES-OF-SEPARABILITY FACE MODEL 2006 ·International Journal of Pattern Recognition and Artificial Intelligence ·P. S. Hiremath, Ajit Danti	26

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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