Kangkana Bora

47 total papers · 765 total citations
31 papers, 506 citations indexed

About

Kangkana Bora is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kangkana Bora has authored 31 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kangkana Bora's work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Image Retrieval and Classification Techniques (6 papers). Kangkana Bora is often cited by papers focused on AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Image Retrieval and Classification Techniques (6 papers). Kangkana Bora collaborates with scholars based in India, United States and Japan. Kangkana Bora's co-authors include Lipi B. Mahanta, Malay K. Kundu, Manish Chowdhury, Anup Kumar Das, Rashmi Mukherjee, Saurav Mallik, Anup Das, Zhongming Zhao, Kunio Kasugai and Bunil Kumar Balabantaray and has published in prestigious journals such as Scientific Reports, Applied Soft Computing and IEEE Sensors Journal.

In The Last Decade

Kangkana Bora

25 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
Kangkana Bora	297	157	157	86	82	31	506
Ikram Ullah Lali	298 1.0×	201 1.3×	160 1.0×	62 0.7×	44 0.5×	12	569
Umair Khan	240 0.8×	109 0.7×	84 0.5×	46 0.5×	40 0.5×	27	587
Talha Meraj	214 0.7×	120 0.8×	237 1.5×	12 0.1×	57 0.7×	23	561
A. Murugan	216 0.7×	73 0.5×	33 0.2×	72 0.8×	50 0.6×	23	454
Abdul Majid	218 0.7×	142 0.9×	175 1.1×	21 0.2×	17 0.2×	40	599
Reinel Tabares-Soto	174 0.6×	159 1.0×	113 0.7×	18 0.2×	97 1.2×	46	616
Karamjeet Singh	140 0.5×	211 1.3×	82 0.5×	19 0.2×	30 0.4×	28	457
Yixin Li	364 1.2×	167 1.1×	201 1.3×	32 0.4×	11 0.1×	19	570
Jatinder Manhas	177 0.6×	66 0.4×	99 0.6×	17 0.2×	64 0.8×	32	462
Prabhpreet Kaur	174 0.6×	155 1.0×	181 1.2×	10 0.1×	51 0.6×	43	493

Countries citing papers authored by Kangkana Bora

Since Specialization

Citations

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

Fields of papers citing papers by Kangkana Bora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangkana Bora

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