Saloni Kumari

441 total citations · 1 hit paper
5 papers, 289 citations indexed

About

Saloni Kumari is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Saloni Kumari has authored 5 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Management Information Systems. Recurrent topics in Saloni Kumari's work include AI in cancer detection (2 papers), Big Data and Business Intelligence (1 paper) and Nonmelanoma Skin Cancer Studies (1 paper). Saloni Kumari is often cited by papers focused on AI in cancer detection (2 papers), Big Data and Business Intelligence (1 paper) and Nonmelanoma Skin Cancer Studies (1 paper). Saloni Kumari collaborates with scholars based in India. Saloni Kumari's co-authors include Deepika Kumar, Mamta Mittal, Suprava Patnaik, Prasant Kumar Nanda, Ashok Pandey and Devendra Singh Chauhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Engineering & Technology and Procedia Computer Science.

In The Last Decade

Saloni Kumari

2 papers receiving 268 citations

Hit Papers

align trajectories

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.

An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

2021 283 citations Saloni Kumari, Deepika Kumar et al. SHILAP Revista de lepidopterología profile →

Peers

Saloni Kumari

HIM

AI

RNMI

IS

CAM

Umair Muneer Butt Pakistan

Dola Das Bangladesh

Eva Ignatious Australia

Shahana Shultana Bangladesh

Hang Lai China

Shaik Razia India

B. V. Ramana India

Atiqur Rahman Malaysia

Shahid Mohammad Ganie India

Ali Samad Pakistan

Umair Muneer Butt Pakistan

Saloni Kumari

90 ×0.5

HIM

140 ×0.8

AI

25 ×0.8

RNMI

29 ×1.0

IS

17 ×0.6

CAM

Citations per year, relative to Saloni Kumari Saloni Kumari (= 1×) peers Umair Muneer Butt

Countries citing papers authored by Saloni Kumari

Since Specialization

Citations

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

Fields of papers citing papers by Saloni Kumari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saloni Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Saloni Kumari. A scholar is included among the top collaborators of Saloni Kumari 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 Saloni Kumari. Saloni Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Nanda, Prasant Kumar, et al.. (2025). Multi-Class Skin Cancer Detection Using CNN-Architecture Based Deep Learning Models. Procedia Computer Science. 260. 226–235.

2.

Pandey, Ashok, et al.. (2025). Analyzing Classification Algorithms for Network Intrusion Detection. 1–6.

3.

Kumari, Saloni. (2023). Visual Modeling: “Unlocking Ideas and Enhancing Understanding: The Power of Visual Modeling”. International Journal of Engineering & Technology. 12(2). 20–25.

4.

Kumari, Saloni, Deepika Kumar, & Mamta Mittal. (2021). An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier. SHILAP Revista de lepidopterología. 2. 40–46. 283 indexed citations breakdown →

5.

Patnaik, Suprava, et al.. (2020). Comparison of deep CNN and ResNet for Handwritten Devanagari Character Recognition. 235–238. 6 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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