Kayapanda Mandana

1.6k total citations
42 papers, 1.2k citations indexed

About

Kayapanda Mandana is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Kayapanda Mandana has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 19 papers in Pulmonary and Respiratory Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Kayapanda Mandana's work include ECG Monitoring and Analysis (20 papers), Phonocardiography and Auscultation Techniques (16 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Kayapanda Mandana is often cited by papers focused on ECG Monitoring and Analysis (20 papers), Phonocardiography and Auscultation Techniques (16 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Kayapanda Mandana collaborates with scholars based in India, United States and Singapore. Kayapanda Mandana's co-authors include Chandan Chakraborty, Roshan Joy Martis, U. Rajendra Acharya, A.K. Ray, Goutam Saha, Arup Ray, Choo Min Lim, Asok Ray, Debranjan Sarkar and Debabrata Pal and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Kayapanda Mandana

35 papers receiving 1.1k citations

Peers

Kayapanda Mandana
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 834
  • Cognitive Neuroscience 485
  • Pulmonary and Respiratory Medicine 340
  • Biomedical Engineering 277
  • Artificial Intelligence 120
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Citations per field, relative to Kayapanda Mandana
Kayapanda Mandana · 1×
Citations per year, relative to Kayapanda Mandana
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Countries citing papers authored by Kayapanda Mandana

Since Specialization
Citations

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

Fields of papers citing papers by Kayapanda Mandana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayapanda Mandana

This figure shows the co-authorship network connecting the top 25 collaborators of Kayapanda Mandana. A scholar is included among the top collaborators of Kayapanda Mandana 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 Kayapanda Mandana. Kayapanda Mandana 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
# Work Indexed citations
1 2
2 0
3 0
4 38
5 23
6 50
7 0
8 4
9 3
10 5
11 17
12 12
13 0
14 4
15 149
16 17
17 44
18 1
19 106
20 1

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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