Ruban Nersisson

550 citations
38 papers · 306 indexed · h-index 9
Topics
AI in cancer detection (7 papers)Emotion and Mood Recognition (6 papers)Non-Invasive Vital Sign Monitoring (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
IndiaChinaRussia

In The Last Decade

Ruban Nersisson

31 papers receiving 301 citations

Peers

Ruban Nersisson
Comparison fields: 5 of 88
  • Artificial Intelligence 104
  • Radiology, Nuclear Medicine and Imaging 77
  • Computer Vision and Pattern Recognition 70
  • Pulmonary and Respiratory Medicine 47
  • Signal Processing 46
Replace Y. Padma Sai with:
Y. Padma Sai India
Ayush Tripathi India
Charturong Tantibundhit Thailand
Beanbonyka Rim South Korea
Paweł Badura Poland
Syed Khairul Bashar United States
Maymouna Ezeddin Qatar
Na Yang China
Tomás Teijeiro Switzerland
Aicha Majda Morocco
Ruban Nersisson relative to Y. Padma Sai India Y. Padma Sai's profile →
Citations per field
00.5×1.6×
Y. Padma Sai · 1×
Citations per year

Countries citing papers authored by Ruban Nersisson

Since Specialization
Citations

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

Fields of papers citing papers by Ruban Nersisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruban Nersisson

This figure shows the co-authorship network connecting the top 25 collaborators of Ruban Nersisson. A scholar is included among the top collaborators of Ruban Nersisson 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 Ruban Nersisson. Ruban Nersisson 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 2
2 0
3 1
4 4
5 0
6 6
7 2
8 7
9 23
10 7
11 5
12 7
13 0
14 55
15 2
16 17
17 2
18 14
19 7
20 24

About Ruban Nersisson

Ruban Nersisson is a scholar working on Pharmacy, Signal Processing and Experimental and Cognitive Psychology, having authored 38 papers that have together received 306 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Emotion and Mood Recognition (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). The work is most often cited by research in Health Informatics (6 citations), Signal Processing (46 citations) and Computer Vision and Pattern Recognition (70 citations). Ruban Nersisson has collaborated with scholars based in India, China and Russia. Frequent co-authors include Alex Noel Joseph Raj, Zhemin Zhuang, Mathew Mithra Noel, M. Murugappan, Vijayalakshmi G. V. Mahesh, Udit Jain, Elena Lyakso, Vijayarajan Rajangam, Оlga Frolova and Nan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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