Pradeepta Kumar Sarangi

843 total citations
73 papers, 399 citations indexed

About

Pradeepta Kumar Sarangi is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Pradeepta Kumar Sarangi has authored 73 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Management Science and Operations Research and 14 papers in Artificial Intelligence. Recurrent topics in Pradeepta Kumar Sarangi's work include Stock Market Forecasting Methods (19 papers), Forecasting Techniques and Applications (11 papers) and Artificial Intelligence in Healthcare (9 papers). Pradeepta Kumar Sarangi is often cited by papers focused on Stock Market Forecasting Methods (19 papers), Forecasting Techniques and Applications (11 papers) and Artificial Intelligence in Healthcare (9 papers). Pradeepta Kumar Sarangi collaborates with scholars based in India, Nepal and United States. Pradeepta Kumar Sarangi's co-authors include Deepak Kumar, Ashok Kumar Sahoo, Sunny Singh, Pramod Kumar Singh, Pervez Ahmed, Nanhay Singh, Devendra Prasad, Raghuraj Singh, Ritu Chauhan and Gurpreet Singh and has published in prestigious journals such as Materials Today Proceedings, Macromolecular Symposia and Indian Journal of Science and Technology.

In The Last Decade

Pradeepta Kumar Sarangi

52 papers receiving 359 citations

Peers

Pradeepta Kumar Sarangi
Sadaf Yasmin Pakistan
Zehong Yang China
Wenguo Ai China
J. H. Witte United Kingdom
Xiongwen Pang China
Yingjun Chen China
Lokesh Chouhan India
Pierre-Édouard Portier France
Xiaojun Feng Hong Kong
Sadaf Yasmin Pakistan
Pradeepta Kumar Sarangi
Citations per year, relative to Pradeepta Kumar Sarangi Pradeepta Kumar Sarangi (= 1×) peers Sadaf Yasmin

Countries citing papers authored by Pradeepta Kumar Sarangi

Since Specialization
Citations

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

Fields of papers citing papers by Pradeepta Kumar Sarangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeepta Kumar Sarangi

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeepta Kumar Sarangi. A scholar is included among the top collaborators of Pradeepta Kumar Sarangi 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 Pradeepta Kumar Sarangi. Pradeepta Kumar Sarangi 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.
Sharma, Monika, et al.. (2025). An empirical study of OTT educational apps subscription prediction using various machine learning algorithms. International Journal of Information Technology.
2.
Sarangi, Pradeepta Kumar, et al.. (2025). Advancements in Machine Learning and Artificial Intelligence in Polymer Science: A Comprehensive Review. Macromolecular Symposia. 414(1). 6 indexed citations
3.
Sarangi, Pradeepta Kumar, et al.. (2025). Machine Learning in Polymer Science: Emerging Trends and Future Directions. Macromolecular Symposia. 414(1). 2 indexed citations
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Sarangi, Pradeepta Kumar, et al.. (2024). Image‐Feature Based Deep Learning Model for Plant Leaf Disease Detection. Macromolecular Symposia. 413(1). 3 indexed citations
6.
Sarangi, Pradeepta Kumar, et al.. (2024). Cyber Bullying Detection and Classification Using Machine Learning Algorithms. 167–171.
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Mohapatra, Srikanta Kumar, et al.. (2022). Text classification using NLP based machine learning approach. AIP conference proceedings. 2463. 20006–20006. 11 indexed citations
11.
Sarangi, Pradeepta Kumar, et al.. (2022). Prediction of Gold prices in India: Performance Analysis of Various Machine Learning Models. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 1–7. 2 indexed citations
12.
Saini, Nitin, et al.. (2022). Customer Segmentation using K-Means Clustering. 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 1–5. 5 indexed citations
13.
Sahoo, Ashok Kumar, Pradeepta Kumar Sarangi, & Chandra Shekhar Yadav. (2022). Indian Sign Language Recognition Using Ensemble Based Classifier Combination. Macromolecular Symposia. 401(1). 5 indexed citations
14.
Mittal, Neetu, et al.. (2022). Implementation and Analysis of Fake News using Machine Learning Technique. 11. 1–6. 3 indexed citations
15.
Sarangi, Pradeepta Kumar, et al.. (2020). A Literature Review on Machine Learning Applications in Financial Forecasting. 11(1). 23–27. 6 indexed citations
16.
Sarangi, Pradeepta Kumar, et al.. (2020). Augmenting Border Gateway Protocol with Multi-protocol Label Switching for Enhancing Network Path Restoration. 70. 306–309. 2 indexed citations
17.
Sarangi, Pradeepta Kumar, et al.. (2020). Predictive Analytics: A Comparative Study of Expert Modeler Vs ANN Models in Econometric Analysis. 407–411. 2 indexed citations
18.
Sarangi, Pradeepta Kumar, et al.. (2019). Modeling Consumer Price Index: An Empirical Analysis Using Expert Modeler. 10(1). 43–50. 9 indexed citations
19.
Sarangi, Pradeepta Kumar, et al.. (2010). Load Forecasting Using Artificial Neural Network: Performance Evaluation with Different Numbers of Hidden Neurons. SSRN Electronic Journal. 6 indexed citations
20.
Sarangi, Pradeepta Kumar, et al.. (2010). Short-Term Load Forecasting Using Neural Network Technology. SSRN Electronic Journal. 5 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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2026