Saurabh Pal

4.3k total citations · 2 hit papers
78 papers, 2.3k citations indexed

About

Saurabh Pal is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Saurabh Pal has authored 78 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Health Information Management and 18 papers in Information Systems. Recurrent topics in Saurabh Pal's work include Artificial Intelligence in Healthcare (24 papers), Imbalanced Data Classification Techniques (19 papers) and Data Mining Algorithms and Applications (10 papers). Saurabh Pal is often cited by papers focused on Artificial Intelligence in Healthcare (24 papers), Imbalanced Data Classification Techniques (19 papers) and Data Mining Algorithms and Applications (10 papers). Saurabh Pal collaborates with scholars based in India, United Kingdom and United States. Saurabh Pal's co-authors include Vikas Chaurasia, Brijesh Kumar, B. B. Tiwari, Neha Singh, Tong Sun, K. T. V. Grattan, Scott A. Wade, Anil Kumar Soni, Kausar M. Ansari and A.T. Augousti and has published in prestigious journals such as Life Sciences, Food Research International and Toxicology and Applied Pharmacology.

In The Last Decade

Saurabh Pal

74 papers receiving 2.0k 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.

Mining Educational Data to Analyze Students Performance

2011 377 citations Saurabh Pal et al. profile →
Prediction of benign and malignant breast cancer using data mining techniques

2018 217 citations Vikas Chaurasia, Saurabh Pal et al. profile →

Peers

Countries citing papers authored by Saurabh Pal

Since Specialization

Citations

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

Fields of papers citing papers by Saurabh Pal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Pal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Deep Learning-Based Lung Cancer Histopathology Classification: Emphasizing Accuracy and Customisation 2025 ·Biomedical Materials & Devices ·(unknown), (unknown), (unknown), Saurabh Pal	0
2	Intelligent analysis to detect phishing websites using machine learning ensemble techniques 2024 ·(unknown), Rekha Pal, Saurabh Pal, (unknown), (unknown), (unknown)	2
3	Artificial Intelligence Model for Parkinson Disease Detection Using Machine Learning Algorithms 2023 ·Biomedical Materials & Devices ·Sunil Kumar Yadav, (unknown), Saurabh Pal	16
4	Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms 2023 ·Multimedia Tools and Applications ·Saurabh Pal	22
5	Antimicrobial peptide moricin induces ROS mediated caspase-dependent apoptosis in human triple-negative breast cancer via suppression of notch pathway 2023 ·Cancer Cell International ·Imran Ahmad, Saurabh Pal, Ranjana Singh, Khursheed Ahmad, Nilanjan Dey, (unknown), Rumana Ahmad, Muath Suliman, Mohammad Y. Alshahrani, Md. Abul Barkat, Sahabjada Siddiqui	3
6	Ochratoxin A treated rat derived urinary exosomes enhanced cell growth and extracellular matrix production in normal kidney cells through modulation of TGF-β1/smad2/3 signaling pathway 2022 ·Life Sciences ·(unknown), Saurabh Pal, (unknown), Neha Singh, Kausar M. Ansari	4
7	Transcriptomic and proteomic insights into patulin mycotoxin-induced cancer-like phenotypes in normal intestinal epithelial cells 2022 ·Molecular and Cellular Biochemistry ·Neha Singh, (unknown), Saurabh Pal, (unknown), Mohammed M. Idris, Kausar M. Ansari	13
8	TGF-β/Smad signaling pathway plays a crucial role in patulin-induced pro-fibrotic changes in rat kidney via modulation of slug and snail expression 2021 ·Toxicology and Applied Pharmacology ·Saurabh Pal, Neha Singh, (unknown), Vineeta Sharma, Pankaj Jagdale, (unknown), Kausar M. Ansari	9
9	COVID-19 Pandemic: ARIMA and Regression Model-Based Worldwide Death Cases Predictions 2020 ·SN Computer Science ·Vikas Chaurasia, Saurabh Pal	39
10	Discovery of Hidden Pattern in Thyroid Disease by Machine Learning Algorithms 2020 ·Indian Journal of Public Health Research & Development ·(unknown), Saurabh Pal	9
11	Chronic Kidney Disease: A Predictive Model Using Decision Tree 2018 ·SSRN Electronic Journal ·Vikas Chaurasia, Saurabh Pal, B. B. Tiwari	26
12	Alternariol induced proliferation in primary mouse keratinocytes and inflammation in mouse skin is regulated via PGE2/EP2/cAMP/p-CREB signaling pathway 2018 ·Toxicology ·Megha Bansal, Neha Singh, Shamshad Alam, Saurabh Pal, G.N.V. Satyanarayana, Dhirendra Singh, Kausar M. Ansari	16
13	A Novel Approach for Breast Cancer Detection Using Data Mining Techniques 2017 ·SSRN Electronic Journal ·Vikas Chaurasia, Saurabh Pal	103
14	Performance Analysis of Data Mining Algorithms for Diagnosis and Prediction of Heart and Breast Cancer Disease 2017 ·SSRN Electronic Journal ·Vikas Chaurasia, Saurabh Pal	17
15	Performance Analysis of Students Consuming Alcohol Using Data Mining Techniques 2017 ·SSRN Electronic Journal ·Saurabh Pal, Vikas Chaurasia	5
16	Data Mining Approach to Detect Heart Diseases 2014 ·SSRN Electronic Journal ·Vikas Chaurasia, Saurabh Pal	81
17	Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability 2014 ·SSRN Electronic Journal ·Vikas Chaurasia, Saurabh Pal	113
18	Academic Performance Evaluation Using Soft Computing Techniques 2014 ·Current Science ·(unknown), Pervez Ahmed, Anil Kumar Soni, Saurabh Pal	5
19	Early Prediction of Heart Diseases Using Data Mining Techniques 2013 ·SSRN Electronic Journal ·Vikas Chaurasia, (unknown), Saurabh Pal	127
20	The Modern Era: Online Pharmacy and Self Medication: Review 2011 ·SSRN Electronic Journal ·Vikas Chaurasia, (unknown), Saurabh Pal	4

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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