Susmita Ray

1.1k citations
11 papers · 681 · 1 hit paper · h-index 6

Impact in

Papers in

Susmita Ray

11 papers receiving 647 citations

Susmita Ray's Hit Papers

A Quick Review of Machine Learning Algorithms 2019 · 609 citations
6090+2+4Years since publication200400600

Peers

Susmita Ray
Comparison fields: 5 of 147
  • Health Informatics 16
  • Health Information Management 40
  • Artificial Intelligence 176
  • Signal Processing 41
  • Environmental Engineering 48
Replace Md. Sakib Bin Alam with:
Md. Sakib Bin Alam Bangladesh
Farhad Ahamed Australia
Seema Shah India
Dimane Mpoeleng Botswana
Ala’ Abdulmajid Eshmawi Saudi Arabia
Muhammad Badruddin Khan Saudi Arabia
Bhushankumar Nemade India
Colin Bellinger Canada
Awny Sayed Egypt
Vadim Borisov Russia
Susmita Ray relative to Md. Sakib Bin Alam Bangladesh Md. Sakib Bin Alam's profile →
Citations per field
00.5×9.5×
Md. Sakib Bin Alam · 1×
Citations per year

Countries citing papers authored by Susmita Ray

Since Specialization
Citations

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

Fields of papers citing papers by Susmita Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Susmita Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susmita Ray Line = papers co-authored together Susmita Ray links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A Quick Review of Machine Learning Algorithms
Hit paper breakdown →
2019609
2 200916
3 202216
4 202312
5 20228
6 20036
7 20214
8 20034
9 20234
10 20241
11 20051

About Susmita Ray

Susmita Ray is a scholar working on Surgery, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and Automotive Engineering, having authored 11 papers that have together received 681 indexed citations. Recurring topics across this work include Image Enhancement Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Fire Detection and Safety Systems (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Health Informatics (16 citations), Health Information Management (40 citations), Artificial Intelligence (176 citations), Signal Processing (41 citations) and Environmental Engineering (48 citations). Susmita Ray has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Dileep Kumar Yadav, Rohit Tanwar, Angela D. Ferguson, Deepti and Gareth Williams. Their work appears in journals such as Multimedia Tools and Applications, European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Family Planning and Reproductive Health Care, Journal of Obstetrics and Gynaecology and Lecture notes on data engineering and communications technologies.

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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