Kangkana Bora

782 citations
31 papers · 511 indexed · h-index 11
Topics
AI in cancer detection (16 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Colorectal Cancer Screening and Detection (6 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Kangkana Bora

25 papers receiving 494 citations

Peers

Kangkana Bora
Comparison fields: 5 of 81
  • Artificial Intelligence 302
  • Computer Vision and Pattern Recognition 159
  • Radiology, Nuclear Medicine and Imaging 158
  • Epidemiology 86
  • Plant Science 83
Replace Ikram Ullah Lali with:
Ikram Ullah Lali Pakistan
Rehan Ashraf Pakistan
Vasundhara Acharya India
Enas M. F. El Houby Egypt
Shiliang Ai China
Hritam Basak India
Alessandro S. Martins Brazil
Saqib Qamar China
Talha Meraj Pakistan
Kangkana Bora relative to Ikram Ullah Lali Pakistan Ikram Ullah Lali's profile →
Citations per field
00.5×1.5×
Ikram Ullah Lali · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 0
6 0
7 4
8 6
9 11
10 5
11 7
12 14
13 39
14 6
15 85
16 17
17 13
18 55
19 4
20 123

About Kangkana Bora

Kangkana Bora is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 31 papers that have together received 511 indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Colorectal Cancer Screening and Detection (6 papers). The work is most often cited by research in Artificial Intelligence (302 citations), Health Informatics (12 citations) and Computer Vision and Pattern Recognition (159 citations). Kangkana Bora has collaborated with scholars based in India, United States and Japan. Frequent 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. Their work appears in journals such as Scientific Reports, Applied Soft Computing and IEEE Sensors Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026