Madhumala Ghosh

610 citations
14 papers · 411 indexed · h-index 10
Topics
Digital Imaging for Blood Diseases (10 papers)Image Processing Techniques and Applications (8 papers)Cell Image Analysis Techniques (3 papers)
Journals
MicronJournal of Medical Imaging and Health Informatics
Partner nations
IndiaUnited Kingdom

In The Last Decade

Madhumala Ghosh

14 papers receiving 389 citations

Peers

Madhumala Ghosh
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 347
  • Artificial Intelligence 131
  • Media Technology 128
  • Biophysics 118
  • Plant Science 90
Replace G. Gopakumar with:
G. Gopakumar India
Lorenzo Putzu Italy
Yuhang Dong United States
Hongda Shen United States
Harishchandra Hebbar India
Roopa B. Hegde India
Khamael Al-Dulaimi Australia
Salam Shuleenda Devi India
B. Rajesh Kanna India
V. N. Manjunath Aradhya India
Madhumala Ghosh relative to G. Gopakumar India G. Gopakumar's profile →
Citations per field
00.5×9.5×
G. Gopakumar · 1×
Citations per year

Countries citing papers authored by Madhumala Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Madhumala Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhumala Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Madhumala Ghosh. A scholar is included among the top collaborators of Madhumala Ghosh 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 Madhumala Ghosh. Madhumala Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 9
2 33
3 10
4 161
5 1
6 23
7 6
8 18
9 78
10 9
11 15
12 29
13 18
14 1

About Madhumala Ghosh

Madhumala Ghosh is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 14 papers that have together received 411 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (10 papers), Image Processing Techniques and Applications (8 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Biophysics (118 citations), Computer Vision and Pattern Recognition (347 citations) and Media Technology (128 citations). Madhumala Ghosh has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Chandan Chakraborty, Dev Kumar Das, Mallika Pal, Ajoy Kumar Ray, Asok Kumar Maiti, Amit Konar, Arindam Jati, Atulya K. Nagar, Rashmi Mukherjee and Surjya K. Pal. Their work appears in journals such as Micron and Journal of Medical Imaging and Health Informatics.

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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