Deepika Kumar

37 papers receiving 1.1k citations

Hit Papers

Fake News Classification using transformer based enhanced LSTM and BERT 2022 · 102 citations
102202120262022202450100150200250

Peers

Deepika Kumar
Comparison fields: 5 of 153
  • Health Information Management 196
  • Health Informatics 23
  • Artificial Intelligence 429
  • Computer Vision and Pattern Recognition 199
  • Radiology, Nuclear Medicine and Imaging 197
Replace Vimal K. Shrivastava with:
Vimal K. Shrivastava India
Yujia Li China
Ioannis Kavakiotis Greece
Zahra Alizadeh Sani Iran
Anas Bilal China
Alhadi Bustamam Indonesia
Shagun Sharma India
Ryan J. Urbanowicz United States
Staal A. Vinterbo United States
Deepika Kumar relative to Vimal K. Shrivastava India Vimal K. Shrivastava's profile →
Citations per field
00.5×3.9×
Vimal K. Shrivastava · 1×
Citations per year

Countries citing papers authored by Deepika Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepika Kumar, 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 Deepika Kumar Line = papers co-authored together Deepika Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
Hit paper breakdown →
2021283
2 2015152
3 2020110
4
Fake News Classification using transformer based enhanced LSTM and BERT
Hit paper breakdown →
2022102
5 202090
6 200976
7 201839
8 202130
9 202219
10 202218
11 202316
12 202314
13 202114
14 202113
15 201812
16 202211
17 202011
18 202011
19 202111
20 202210

About Deepika Kumar

Deepika Kumar is a scholar working on Health Informatics, Health Information Management, Computer Vision and Pattern Recognition, Artificial Intelligence and Applied Microbiology and Biotechnology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), COVID-19 diagnosis using AI (6 papers), Brain Tumor Detection and Classification (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Digital Imaging for Blood Diseases (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Information Management (196 citations), Health Informatics (23 citations), Artificial Intelligence (429 citations), Computer Vision and Pattern Recognition (199 citations) and Radiology, Nuclear Medicine and Imaging (197 citations). Deepika Kumar has collaborated with scholars based in India, United States and Romania. Frequent co-authors include Mamta Mittal, Saloni Kumari, D. Jude Hemanth, Sudipta Roy, Nishant Rai, Mina L. Xu, Ahad Ali, A.P. Mittal, Roman Šenkeřík and Nikita Jain. Their work appears in journals such as Electronics, Frontiers in Oncology, Multimedia Tools and Applications, British Journal of Cancer and Computers, materials & continua/Computers, materials & continua (Print).

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