Mausumi Maitra

16 total papers · 527 total citations
8 papers, 307 citations indexed

About

Mausumi Maitra is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Mausumi Maitra has authored 8 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Media Technology. Recurrent topics in Mausumi Maitra's work include Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Mausumi Maitra is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (2 papers) and Medical Image Segmentation Techniques (2 papers). Mausumi Maitra collaborates with scholars based in India. Mausumi Maitra's co-authors include Rahul Gupta, Punit Sharma, Minakshi Banerjee and Susanta Chakraborty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Medical & Biological Engineering & Computing.

In The Last Decade

Mausumi Maitra

8 papers receiving 279 citations

Hit Papers

MRI-based brain tumour im... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mausumi Maitra 212 154 84 52 33 8 307
Ezequiel Geremia 197 0.9× 126 0.8× 69 0.8× 80 1.5× 34 1.0× 6 302
Geethu Mohan 219 1.0× 246 1.6× 118 1.4× 89 1.7× 11 0.3× 8 325
Yeqi Bai 112 0.5× 78 0.5× 131 1.6× 102 2.0× 19 0.6× 6 319
Rachida Saouli 228 1.1× 232 1.5× 84 1.0× 107 2.1× 11 0.3× 12 337
Mostefa Ben Naceur 219 1.0× 228 1.5× 77 0.9× 91 1.8× 11 0.3× 3 306
Hiba Mzoughi 214 1.0× 242 1.6× 93 1.1× 114 2.2× 17 0.5× 18 315
Nagaraj Yamanakkanavar 141 0.7× 158 1.0× 104 1.2× 75 1.4× 10 0.3× 10 314
Amna Sarwar 169 0.8× 158 1.0× 87 1.0× 39 0.8× 17 0.5× 6 246
Ziquan Zhu 136 0.6× 51 0.3× 116 1.4× 95 1.8× 28 0.8× 10 361
Annegreet van Opbroek 138 0.7× 60 0.4× 157 1.9× 114 2.2× 24 0.7× 11 353

Countries citing papers authored by Mausumi Maitra

Since Specialization
Citations

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

Fields of papers citing papers by Mausumi Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mausumi Maitra

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

All Works

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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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