Mallikarjun Hangarge

680 citations
32 papers · 338 indexed · h-index 12
Topics
Handwritten Text Recognition Techniques (23 papers)Image Processing and 3D Reconstruction (14 papers)Image Retrieval and Classification Techniques (14 papers)

In The Last Decade

Mallikarjun Hangarge

30 papers receiving 274 citations

Peers

Mallikarjun Hangarge
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 283
  • Media Technology 142
  • Artificial Intelligence 80
  • Human-Computer Interaction 21
  • Oncology 20
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Sukalpa Chanda India
B.V. Dhandra India
Jitesh Pradhan India
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Apurva A. Desai India
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Geewook Kim Japan
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Mallikarjun Hangarge relative to Sukalpa Chanda India Sukalpa Chanda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mallikarjun Hangarge

Since Specialization
Citations

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

Fields of papers citing papers by Mallikarjun Hangarge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mallikarjun Hangarge

This figure shows the co-authorship network connecting the top 25 collaborators of Mallikarjun Hangarge. A scholar is included among the top collaborators of Mallikarjun Hangarge 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 Mallikarjun Hangarge. Mallikarjun Hangarge 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 0
2 21
3 2
4 7
5
Script Identification using Discrete Curvelet Transforms
4
6 26
7 4
8
I.4.1
4
9 5
10 6
11 1
12 11
13 34
14
Spatial Features for Handwritten Kannada and English Character Recognition
19
15
Kannada, Telugu and Devanagari Handwritten Numeral Recognition with Probabilistic Neural Network: A Novel Approach
13
16
A Survey on Deformable Model and its Applications to Medical Imaging
11
17 20
18 20
19 8
20 40

About Mallikarjun Hangarge

Mallikarjun Hangarge is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 32 papers that have together received 338 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (23 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (14 papers). The work is most often cited by research in Media Technology (142 citations), Computer Vision and Pattern Recognition (283 citations) and Human-Computer Interaction (21 citations). Mallikarjun Hangarge has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include B.V. Dhandra, Ravindra S. Hegadi, V. S. Malemath, P. Nagabhushan, B.B. Chaudhuri, KC Santosh, Mamun Bin Ibne Reaz, Norhana Arsad and Somnath Banerjee. Their work appears in journals such as International Journal of Information Technology, Journal of Multimedia and arXiv (Cornell University).

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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