Deepika Kumar

1.7k total citations · 2 hit papers
44 papers, 1.1k citations indexed

About

Deepika Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Deepika Kumar has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Oncology. Recurrent topics in Deepika Kumar's work include AI in cancer detection (10 papers), COVID-19 diagnosis using AI (6 papers) and Brain Tumor Detection and Classification (4 papers). Deepika Kumar is often cited by papers focused on AI in cancer detection (10 papers), COVID-19 diagnosis using AI (6 papers) and Brain Tumor Detection and Classification (4 papers). Deepika Kumar collaborates with scholars based in India, United States and Romania. Deepika Kumar's co-authors include Mamta Mittal, Saloni Kumari, D. Jude Hemanth, Sudipta Roy, Nishant Rai, Mina L. Xu, Ahad Ali, A.P. Mittal, Nikita Jain and Roman Šenkeřík and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and IEEE Access.

In The Last Decade

Deepika Kumar

37 papers receiving 1.1k citations

Hit Papers

An ensemble approach for classification and prediction of... 2021 2026 2022 2024 2021 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
    2021 283 citations Deepika Kumar et al. profile →
  2. Fake News Classification using transformer based enhanced LSTM and BERT
    2022 102 citations Deepika Kumar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepika Kumar India 14 429 199 197 196 117 44 1.1k
Yujia Li China 18 497 1.2× 442 2.2× 60 0.3× 51 0.3× 59 0.5× 86 1.8k
Dianbo Liu United States 14 507 1.2× 80 0.4× 90 0.5× 57 0.3× 24 0.2× 33 1.1k
Alhadi Bustamam Indonesia 16 432 1.0× 247 1.2× 377 1.9× 70 0.4× 44 0.4× 142 1.2k
Ruixuan Wang China 18 605 1.4× 323 1.6× 747 3.8× 42 0.2× 198 1.7× 96 1.8k
Staal A. Vinterbo United States 19 462 1.1× 81 0.4× 32 0.2× 89 0.5× 111 0.9× 41 1.1k
Matjaž Kukar Slovenia 15 416 1.0× 78 0.4× 110 0.6× 139 0.7× 36 0.3× 36 970
Devvi Sarwinda Indonesia 14 330 0.8× 227 1.1× 280 1.4× 74 0.4× 37 0.3× 80 854
Luca Saba Italy 28 437 1.0× 281 1.4× 762 3.9× 173 0.9× 47 0.4× 67 1.9k

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-authorship network of co-authors of Deepika Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Kumar. A scholar is included among the top collaborators of Deepika Kumar 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 Deepika Kumar. Deepika Kumar 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
1.
Tang, Haiming, et al.. (2025). Clinicopathologic characteristics of lymphoproliferative disorders involving the kidney. American Journal of Clinical Pathology. 164(2). 192–199.
2.
Kumar, Deepika, et al.. (2024). Environment Sound Classification using stacked features and convolutional neural network. 42–50. 1 indexed citations
3.
4.
Kumar, Deepika, et al.. (2024). Realistic 3D Object Generation Using Seam Aware Landmark Detectors with Texture and Lighting. Iranian Journal of Science and Technology Transactions of Electrical Engineering. 49(1). 409–433. 1 indexed citations
5.
6.
Kumar, Deepika, et al.. (2023). An automated framework to evaluate soft skills using posture and disfluency detection. Machine Vision and Applications. 34(5). 1 indexed citations
7.
Kumar, Deepika, et al.. (2023). A weighted ensemble transfer learning approach for melanoma classification from skin lesion images. Multimedia Tools and Applications. 83(11). 33615–33637. 14 indexed citations
8.
Kumar, Deepika, et al.. (2023). Extractive Article Summarization Using Integrated TextRank and BM25+ Algorithm. Electronics. 12(2). 372–372. 16 indexed citations
9.
Kumar, Deepika & Adebowale Adeniran. (2022). Clinicopathological Review of Micropapillary Urothelial Carcinoma. Current Oncology Reports. 24(5). 603–610. 6 indexed citations
10.
Ogbuagu, Onyema, et al.. (2022). Acute kidney injury due to myoglobin cast nephropathy in the setting of coronavirus disease 2019-mediated rhabdomyolysis: a case report. Journal of Medical Case Reports. 16(1). 491–491. 1 indexed citations
11.
Schoenfeld, David A., Ross D. Merkin, Myrto Moutafi, et al.. (2022). Location matters: LAG3 levels are lower in renal cell carcinoma metastatic sites compared to primary tumors, and expression at metastatic sites only may have prognostic importance. Frontiers in Oncology. 12. 990367–990367. 11 indexed citations
12.
Kumar, Deepika, et al.. (2022). NATIVE ACCENT SENSITIVE VOICE CLONING USING PAIRWISE RANKING BASED DECODER MODELS, 122-129.. 50(3). 1 indexed citations
13.
Kumar, Deepika, et al.. (2022). A median based quadrilateral local quantized ternary pattern technique for the classification of dermatoscopic images of skin cancer. Computers & Electrical Engineering. 102. 108259–108259. 19 indexed citations
14.
Kumar, Deepika, et al.. (2021). Can primary hepatocellular carcinoma histomorphology predict extrahepatic metastasis?. Human Pathology. 113. 39–46. 13 indexed citations
15.
Toki, Maria, Deepika Kumar, Fahad Shabbir Ahmed, David L. Rimm, & Mina L. Xu. (2020). Benign lymph node microenvironment is associated with response to immunotherapy. Precision Clinical Medicine. 3(1). 44–53. 11 indexed citations
16.
Kumar, Deepika & Mina L. Xu. (2018). Microenvironment Cell Contribution to Lymphoma Immunity. Frontiers in Oncology. 8. 288–288. 39 indexed citations
17.
Kumar, Deepika, et al.. (2018). Diagnosis of Infectious Diseases in the Lower Respiratory Tract: A Cytopathologist's Perspective. Archives of Pathology & Laboratory Medicine. 143(6). 683–694. 12 indexed citations
18.
Kumar, Deepika & Usha Batra. (2018). Epidemiology of Breast Cancer in Indian Women: Population and Hospital Based study. EAI Endorsed Transactions on Pervasive Health and Technology. 4(16). e4–e4. 3 indexed citations
19.
Checinska, Aleksandra, Alexander J. Probst, Parag Vaishampayan, et al.. (2015). Microbiomes of the dust particles collected from the International Space Station and Spacecraft Assembly Facilities. Microbiome. 3(1). 50–50. 152 indexed citations
20.
Copier, John, B Meyer, Mark Bodman‐Smith, et al.. (2009). T-regulatory cell modulation: the future of cancer immunotherapy?. British Journal of Cancer. 100(11). 1697–1703. 76 indexed citations

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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