Gour Karmakar

1.9k citations
133 papers · 1.2k indexed · h-index 17
Topics
Image Retrieval and Classification Techniques (28 papers)Energy Efficient Wireless Sensor Networks (20 papers)Medical Image Segmentation Techniques (19 papers)

In The Last Decade

Gour Karmakar

123 papers receiving 1.1k citations

Peers

Gour Karmakar
Comparison fields: 5 of 101
  • Computer Networks and Communications 425
  • Electrical and Electronic Engineering 382
  • Computer Vision and Pattern Recognition 293
  • Artificial Intelligence 190
  • Information Systems 112
Replace Zhigao Zheng with:
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Xiaoqiang Ma China
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Valéria Loscrì France
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Rongbo Zhu China
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Deepak Garg India
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Citations per field
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Zhigao Zheng · 1×
Citations per year

Countries citing papers authored by Gour Karmakar

Since Specialization
Citations

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

Fields of papers citing papers by Gour Karmakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gour Karmakar

This figure shows the co-authorship network connecting the top 25 collaborators of Gour Karmakar. A scholar is included among the top collaborators of Gour Karmakar 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 Gour Karmakar. Gour Karmakar 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 0
3 2
4 1
5 6
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7 51
8 9
9 98
10 26
11 3
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13 0
14
Automatic Feature Set Selection for Merging Image Segmentation Results Using Fuzzy Clustering
3
15
A modified distortion measurement algorithm for shape coding
2
16
Image segmentation using fuzzy clustering incorporating spatial information
6
17
Fuzzy Image Segmentation using Suppressed Fuzzy C-Means Clustering (SFCM)
2
18
Fuzzy image segmentation considering object surface similarity
3
19
A SURVEY OF FUZZY RULE BASED IMAGE SEGMENTATION TECHNIQUES
2
20
Self-organising map for shape based image classification.
1

About Gour Karmakar

Gour Karmakar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 133 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (28 papers), Energy Efficient Wireless Sensor Networks (20 papers) and Medical Image Segmentation Techniques (19 papers). The work is most often cited by research in Computer Networks and Communications (425 citations), Computer Vision and Pattern Recognition (293 citations) and Signal Processing (100 citations). Gour Karmakar has collaborated with scholars based in Australia, United Kingdom and Bangladesh. Frequent co-authors include Joarder Kamruzzaman, Laurence S. Dooley, Rajkumar Das, Abdullahi Chowdhury, Syed Islam, Ferdous Sohel, Manzur Murshed, Alireza Jolfaei, Bala Srinivasan and Iven Mareels. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Sensors.

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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