R. Dinesh

1.1k citations
38 papers · 709 indexed · 1 hit paper · h-index 10
Topics
Handwritten Text Recognition Techniques (8 papers)Image Retrieval and Classification Techniques (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)
Partner nations
IndiaJapanUnited States

In The Last Decade

R. Dinesh

34 papers receiving 652 citations

Hit Papers

Heart Disease Prediction using Hybrid machine Learning Model2021202620222024202150100150200

Peers

R. Dinesh
Comparison fields: 5 of 87
  • Renewable Energy, Sustainability and the Environment 194
  • Materials Chemistry 169
  • Health Information Management 166
  • Computer Vision and Pattern Recognition 139
  • Artificial Intelligence 123
Replace Rajesh Mahadeva with:
Rajesh Mahadeva India
Ghulam Raza Pakistan
P. Suresh India
S. Radhika India
D. P. Rao India
Xinyu Ma China
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Citations per field
00.5×10×13.8×
Rajesh Mahadeva · 1×
Citations per year

Countries citing papers authored by R. Dinesh

Since Specialization
Citations

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

Fields of papers citing papers by R. Dinesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Dinesh

This figure shows the co-authorship network connecting the top 25 collaborators of R. Dinesh. A scholar is included among the top collaborators of R. Dinesh 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 R. Dinesh. R. Dinesh 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
#WorkIndexed citations
1 4
2 1
3 3
4 3
5
TAXONOMY ON DOCUMENT SUMMARIZATION METHODS, TOOLS AND OPPORTUNITY
1
6 15
7 1
8 5
9 0
10 0
11 0
12
Concept of Status Matrix in Classification of Text Documents.
5
13 2
14 6
15 2
16 15
17 1
18
Recognition of Partially Occluded Objects Using B-tree Index Structure: An Efficient and Robust Approach.
1
19
Mathematical Morphology Based Corner Detection Scheme: A Non-Parametric Approach.
2
20 27

About R. Dinesh

R. Dinesh is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Medical Laboratory Technology, having authored 38 papers that have together received 709 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Health Information Management (166 citations), Medical Laboratory Technology (32 citations) and Renewable Energy, Sustainability and the Environment (194 citations). R. Dinesh has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Masahiro Yoshimura, K. Byrappa, S. Ananda, K. M. Lokanatha, A. Subramani, M. Kavitha, D. S. Guru, P. Nagabhushan, K. Renji and Takeshi Fujiwara. Their work appears in journals such as Journal of Materials Science, Pattern Recognition and Multimedia Tools and Applications.

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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