Madhumala Ghosh

610 total citations
14 papers, 411 citations indexed

About

Madhumala Ghosh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics. According to data from OpenAlex, Madhumala Ghosh has authored 14 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 3 papers in Biophysics. Recurrent topics in Madhumala Ghosh's work include Digital Imaging for Blood Diseases (10 papers), Image Processing Techniques and Applications (8 papers) and Cell Image Analysis Techniques (3 papers). Madhumala Ghosh is often cited by papers focused on Digital Imaging for Blood Diseases (10 papers), Image Processing Techniques and Applications (8 papers) and Cell Image Analysis Techniques (3 papers). Madhumala Ghosh collaborates with scholars based in India and United Kingdom. Madhumala Ghosh's co-authors include Chandan Chakraborty, Dev Kumar Das, Mallika Pal, Ajoy Kumar Ray, Asok Kumar Maiti, Amit Konar, Atulya K. Nagar, Arindam Jati, Rashmi Mukherjee and Surjya K. Pal and has published in prestigious journals such as Micron and Journal of Medical Imaging and Health Informatics.

In The Last Decade

Madhumala Ghosh

14 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Madhumala Ghosh India	10	347	131	128	118	90	14	411
G. Gopakumar India	9	157 0.5×	77 0.6×	46 0.4×	57 0.5×	46 0.5×	32	290
Yuhang Dong United States	7	201 0.6×	70 0.5×	59 0.5×	61 0.5×	60 0.7×	12	261
Hongda Shen United States	11	267 0.8×	95 0.7×	91 0.7×	52 0.4×	55 0.6×	27	403
Lorenzo Putzu Italy	13	525 1.5×	284 2.2×	103 0.8×	147 1.2×	115 1.3×	28	590
Harishchandra Hebbar India	7	336 1.0×	213 1.6×	66 0.5×	84 0.7×	62 0.7×	13	390
Roopa B. Hegde India	8	332 1.0×	215 1.6×	65 0.5×	84 0.7×	63 0.7×	17	416
Salam Shuleenda Devi India	10	187 0.5×	53 0.4×	75 0.6×	23 0.2×	33 0.4×	21	247
Khamael Al-Dulaimi Australia	11	206 0.6×	150 1.1×	72 0.6×	71 0.6×	86 1.0×	22	327
B. Rajesh Kanna India	6	198 0.6×	49 0.4×	50 0.4×	39 0.3×	53 0.6×	20	240
Reza Moradi Rad Canada	12	228 0.7×	109 0.8×	33 0.3×	27 0.2×	15 0.2×	23	388

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

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14 of 14 papers shown

Ghosh, Madhumala, Chandan Chakraborty, Amit Konar, & Ajoy Kumar Ray. (2013). Development of hedge operator based fuzzy divergence measure and its application in segmentation of chronic myelogenous leukocytes from microscopic image of peripheral blood smear. Micron. 57. 41–55. 9 indexed citations

Jati, Arindam, et al.. (2013). Automatic leukocyte nucleus segmentation by intuitionistic fuzzy divergence based thresholding. Micron. 58. 55–65. 33 indexed citations

Ghosh, Madhumala, Dev Kumar Das, Chandan Chakraborty, & Ajoy Kumar Ray. (2013). Quantitative characterisation of Plasmodium vivax in infected erythrocytes: a textural approach. 3(3). 203–203. 10 indexed citations

Das, Dev Kumar, Madhumala Ghosh, Mallika Pal, Asok Kumar Maiti, & Chandan Chakraborty. (2012). Machine learning approach for automated screening of malaria parasite using light microscopic images. Micron. 45. 97–106. 161 indexed citations

Chakraborty, Chandan, et al.. (2012). Content-based leukocyte image retrieval ensembling quaternion fourier transform and gabor-wavelet features. 2. 345–350. 1 indexed citations

Das, Dev Kumar, et al.. (2011). Probabilistic prediction of malaria using morphological and textural information. 1–6. 23 indexed citations

Ghosh, Madhumala, Dev Kumar Das, Ajoy Kumar Ray, & Chandan Chakraborty. (2011). Development of Renyi's Entropy Based Fuzzy Divergence Measure for Leukocyte Segmentation. Journal of Medical Imaging and Health Informatics. 1(4). 334–340. 6 indexed citations

Ghosh, Madhumala, Dev Kumar Das, Chandan Chakraborty, & Ajoy Kumar Ray. (2011). Plasmodium vivax segmentation using modified fuzzy divergence. 1–5. 18 indexed citations

Ghosh, Madhumala, Dev Kumar Das, Chandan Chakraborty, & Ajoy Kumar Ray. (2010). Automated leukocyte recognition using fuzzy divergence. Micron. 41(7). 840–846. 78 indexed citations

10.

Ghosh, Madhumala, Dev Kumar Das, & Chandan Chakraborty. (2010). Entropy based divergence for leukocyte image segmentation. 409–413. 9 indexed citations

11.

Krishnan, M. Muthu Rama, Pratik Shah, Madhumala Ghosh, et al.. (2010). Automated characterization of sub-epithelial connective tissue cells of normal oral mucosa: Bayesian approach. 44–48. 15 indexed citations

12.

Ghosh, Madhumala, et al.. (2010). Statistical pattern analysis of white blood cell nuclei morphometry. 59–66. 29 indexed citations

13.

Das, Dev Kumar, et al.. (2010). Invariant moment based feature analysis for abnormal erythrocyte recognition. 34. 242–247. 18 indexed citations

14.

Ghosh, Madhumala, et al.. (2008). Prediction of the Interactive Dynamics of Stimulated Emotions: Chaos, Limit Cycles and Stability. 74. 105–110. 1 indexed citations

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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