Minakshi Banerjee

36 total papers · 414 total citations
20 papers, 228 citations indexed

About

Minakshi Banerjee is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Minakshi Banerjee has authored 20 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Ophthalmology. Recurrent topics in Minakshi Banerjee's work include Image Retrieval and Classification Techniques (8 papers), Medical Image Segmentation Techniques (8 papers) and Retinal Imaging and Analysis (7 papers). Minakshi Banerjee is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Medical Image Segmentation Techniques (8 papers) and Retinal Imaging and Analysis (7 papers). Minakshi Banerjee collaborates with scholars based in India. Minakshi Banerjee's co-authors include Malay K. Kundu, Punit Sharma, Pradipta Maji, Mausumi Maitra, Amlan Chakrabarti, Rituparna Chaki, Manish Chowdhury, Susanta Chakraborty, Siddhartha Bhattacharyya and Anindya Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Fuzzy Sets and Systems.

In The Last Decade

Minakshi Banerjee

19 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
Minakshi Banerjee	174	63	52	35	33	20	228
Nigel John	106 0.6×	59 0.9×	15 0.3×	29 0.8×	43 1.3×	15	169
Lingraj Dora	165 0.9×	77 1.2×	43 0.8×	70 2.0×	116 3.5×	19	311
Shiqiang Ma	172 1.0×	24 0.4×	33 0.6×	20 0.6×	55 1.7×	20	260
Sudip Kumar Adhikari	215 1.2×	100 1.6×	78 1.5×	37 1.1×	61 1.8×	14	283
Mingqi Gao	228 1.3×	20 0.3×	39 0.8×	48 1.4×	64 1.9×	23	293
Minghan Fu	161 0.9×	17 0.3×	76 1.5×	40 1.1×	50 1.5×	12	254
Mohammad Hamghalam	136 0.8×	67 1.1×	23 0.4×	55 1.6×	41 1.2×	17	186
Anas M. Ali	161 0.9×	40 0.6×	88 1.7×	52 1.5×	88 2.7×	25	300
Yufeng Zheng	144 0.8×	24 0.4×	47 0.9×	94 2.7×	140 4.2×	35	305
Xiaosheng Wu	198 1.1×	67 1.1×	46 0.9×	57 1.6×	91 2.8×	23	320

Countries citing papers authored by Minakshi Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Minakshi Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minakshi Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Minakshi Banerjee. A scholar is included among the top collaborators of Minakshi Banerjee 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 Minakshi Banerjee. Minakshi Banerjee 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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