Moumita Pramanik

442 total citations
12 papers, 310 citations indexed

About

Moumita Pramanik is a scholar working on Signal Processing, Artificial Intelligence and Physiology. According to data from OpenAlex, Moumita Pramanik has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Signal Processing, 4 papers in Artificial Intelligence and 4 papers in Physiology. Recurrent topics in Moumita Pramanik's work include Voice and Speech Disorders (4 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (2 papers). Moumita Pramanik is often cited by papers focused on Voice and Speech Disorders (4 papers), Network Security and Intrusion Detection (3 papers) and Advanced Malware Detection Techniques (2 papers). Moumita Pramanik collaborates with scholars based in India, Italy and South Korea. Moumita Pramanik's co-authors include Akash Kumar Bhoi, Ranjit Panigrahi, Samarjeet Borah, Rutvij H. Jhaveri, Muhammad Fazal Ijaz, Yogesh Kumar, Paolo Barsocchi, Ratika Pradhan, Chiranji Lal Chowdhary and Soumya Ranjan Nayak and has published in prestigious journals such as Applied Sciences, Computer Communications and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Moumita Pramanik

11 papers receiving 293 citations

Peers

Moumita Pramanik

AI

CNC

SP

PHYSI

IS

Shihab Hamad Khaleefah Malaysia

Aurélien Bellet France

Diego Peteiro-Barral Spain

Praneeth Vepakomma United States

Khalid Masood Khan Saudi Arabia

Surendra Shetty India

Frank Loh Germany

A. Shanmugam India

Avinash Kumar India

I. А. Hodashinsky Russia

Shihab Hamad Khaleefah Malaysia

Moumita Pramanik

77 ×0.5

AI

30 ×0.2

CNC

37 ×0.5

SP

61 ×1.4

PHYSI

18 ×0.6

IS

Citations per year, relative to Moumita Pramanik Moumita Pramanik (= 1×) peers Shihab Hamad Khaleefah

Countries citing papers authored by Moumita Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Moumita Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moumita Pramanik

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

All Works

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12 of 12 papers shown

1.

Pramanik, Moumita, et al.. (2024). Fine-Grained Classification for Emotion Detection Using Advanced Neural Models and GoEmotions Dataset. 5(2). 1 indexed citations

2.

Panigrahi, Ranjit, Samarjeet Borah, Moumita Pramanik, et al.. (2022). Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection. Computer Communications. 188. 133–144. 45 indexed citations

3.

Pramanik, Moumita, et al.. (2022). A Machine Leaning based Parkinson’s Detection using Acoustic Features. 6. 1–4. 1 indexed citations

4.

Pramanik, Moumita, et al.. (2022). The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease. Journal of Ambient Intelligence and Humanized Computing. 14(9). 11429–11453. 10 indexed citations

5.

Panigrahi, Ranjit, Samarjeet Borah, Akash Kumar Bhoi, et al.. (2021). Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research. Mathematics. 9(6). 690–690. 76 indexed citations

6.

Panigrahi, Ranjit, Samarjeet Borah, Akash Kumar Bhoi, et al.. (2021). A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets. Mathematics. 9(7). 751–751. 113 indexed citations

7.

Pramanik, Moumita, et al.. (2021). Machine Learning Methods with Decision Forests for Parkinson’s Detection. Applied Sciences. 11(2). 581–581. 32 indexed citations

8.

Pramanik, Moumita, et al.. (2021). Assessment of Acoustic Features and Machine Learning for Parkinson’s Detection. Journal of Healthcare Engineering. 2021. 1–13. 25 indexed citations

9.

Pramanik, Moumita, et al.. (2021). A BRIEF STUDY ON VARIOUS PRINCIPLES AND CONCEPTS OF LEAN CONSTRUCTION. 12(6).

10.

Pramanik, Moumita, et al.. (2020). Potentials of Commonly Used Lime and Agricultural Waste in Stabilization of Sub-Grade Soil. International Journal of Innovative Technology and Exploring Engineering. 9(4). 1702–1705. 1 indexed citations

11.

Panigrahi, Ranjit, et al.. (2020). Survivability prediction of patients suffering hepatocellular carcinoma using diverse classifier ensemble of grafted decision tree. International Journal of Computer Applications in Technology. 64(4). 349–349. 3 indexed citations

12.

Pramanik, Moumita & Kalpana Sharma. (2015). Analysis of Visual Cryptography, Steganography Schemes and its Hybrid Approach for Security of Images. 3 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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