Monalisa Jena

455 total citations
8 papers, 268 citations indexed

About

Monalisa Jena is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Monalisa Jena has authored 8 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Monalisa Jena's work include Face and Expression Recognition (4 papers), Imbalanced Data Classification Techniques (3 papers) and Data Stream Mining Techniques (2 papers). Monalisa Jena is often cited by papers focused on Face and Expression Recognition (4 papers), Imbalanced Data Classification Techniques (3 papers) and Data Stream Mining Techniques (2 papers). Monalisa Jena collaborates with scholars based in India, Nigeria and Türkiye. Monalisa Jena's co-authors include Ranjan Kumar Behera, Santanu Kumar Rath, Sanjay Misra, Satchidananda Dehuri and Bibhudatta Sahoo and has published in prestigious journals such as IEEE Access, Information Processing & Management and International Journal of Information Technology.

In The Last Decade

Monalisa Jena

8 papers receiving 254 citations

Peers

Monalisa Jena
Li Jin China
Siham Yousfi Morocco
Patrice Caire Luxembourg
Shi Zhi United States
Li Jin China
Monalisa Jena
Citations per year, relative to Monalisa Jena Monalisa Jena (= 1×) peers Li Jin

Countries citing papers authored by Monalisa Jena

Since Specialization
Citations

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

Fields of papers citing papers by Monalisa Jena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monalisa Jena

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

All Works

8 of 8 papers shown
1.
Jena, Monalisa & Satchidananda Dehuri. (2022). An Integrated Novel Framework for Coping Missing Values Imputation and Classification. IEEE Access. 10. 69373–69387. 8 indexed citations
2.
Jena, Monalisa, et al.. (2022). Hybrid Regression Tree. 250–255. 2 indexed citations
3.
Jena, Monalisa, et al.. (2022). A faster lazy learner for data science. International Journal of Information Technology. 14(4). 2119–2128. 3 indexed citations
4.
Jena, Monalisa & Satchidananda Dehuri. (2020). DecisionTree for Classification and Regression: A State-of-the Art Review. Informatica. 44(4). 43 indexed citations
5.
Behera, Ranjan Kumar, Monalisa Jena, Santanu Kumar Rath, & Sanjay Misra. (2020). Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data. Information Processing & Management. 58(1). 102435–102435. 194 indexed citations
6.
Jena, Monalisa & Satchidananda Dehuri. (2019). Entropy Based Bayes' Rule for Coping Dimensionality Reduction in Predictive Task of Data Mining. 1–6. 2 indexed citations
7.
Behera, Ranjan Kumar, et al.. (2017). A Comparative Study of Distributed Tools for Analyzing Streaming Data. 79–84. 6 indexed citations
8.
Behera, Ranjan Kumar, Santanu Kumar Rath, & Monalisa Jena. (2016). Spanning Tree Based Community Detection Using Min-Max Modularity. Procedia Computer Science. 93. 1070–1076. 10 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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