Monorama Swain

541 total citations
15 papers, 346 citations indexed

About

Monorama Swain is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Monorama Swain has authored 15 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 7 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Monorama Swain's work include Emotion and Mood Recognition (9 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (5 papers). Monorama Swain is often cited by papers focused on Emotion and Mood Recognition (9 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (5 papers). Monorama Swain collaborates with scholars based in India, United States and Russia. Monorama Swain's co-authors include Aurobinda Routray, Prithviraj Kabisatpathy, Mustaqeem Mustaqeem, Rutuparna Panda, Ajith Abraham, Jogendra Nath Kundu, Sanjay Agrawal, Manoj Kumar Naik, Wail Gueaieb and Mustaqeem Khan and has published in prestigious journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Soft Computing.

In The Last Decade

Monorama Swain

14 papers receiving 329 citations

Peers

Monorama Swain
Monorama Swain
Citations per year, relative to Monorama Swain Monorama Swain (= 1×) peers Jen‐Chun Lin

Countries citing papers authored by Monorama Swain

Since Specialization
Citations

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

Fields of papers citing papers by Monorama Swain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monorama Swain

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

All Works

15 of 15 papers shown
1.
Swain, Monorama, et al.. (2023). A non-entropy-based optimal multilevel threshold selection technique for COVID-19 X-ray images using chance-based birds’ intelligence. Soft Computing. 27(24). 18991–19011. 4 indexed citations
2.
Swain, Monorama, et al.. (2023). Multilevel Feature Representation for Hybrid Transformers-based Emotion Recognition. 1–5. 10 indexed citations
4.
Dora, Lingraj, et al.. (2022). Data science methodologies in smart healthcare: a review. Health and Technology. 12(2). 329–344. 5 indexed citations
5.
Swain, Monorama, et al.. (2022). A DCRNN-based ensemble classifier for speech emotion recognition in Odia language. Complex & Intelligent Systems. 8(5). 4237–4249. 14 indexed citations
6.
Panda, Rutuparna, Monorama Swain, Manoj Kumar Naik, Sanjay Agrawal, & Ajith Abraham. (2022). A Novel Practical Decisive Row-Class Entropy-Based Technique for Multilevel Threshold Selection Using Opposition Flow Directional Algorithm. IEEE Access. 10. 110473–110484. 5 indexed citations
7.
Naik, Manoj Kumar, Monorama Swain, Rutuparna Panda, & Ajith Abraham. (2022). An Evolutionary Dynamic Control Cuckoo Search Algorithm for Solving the Constrained Engineering Design Problems. International Journal of Swarm Intelligence Research. 13(4). 1–25. 4 indexed citations
8.
Naik, Manoj Kumar, Monorama Swain, Rutuparna Panda, & Ajith Abraham. (2022). Novel Square Error Minimization-Based Multilevel Thresholding Method for COVID-19 X-Ray Image Analysis Using Fast Cuckoo Search. International Journal of Image and Graphics. 24(1). 1 indexed citations
9.
Swain, Monorama, et al.. (2022). Advanced Fusion-Based Speech Emotion Recognition System Using a Dual-Attention Mechanism with Conv-Caps and Bi-GRU Features. Electronics. 11(9). 1328–1328. 34 indexed citations
10.
Swain, Monorama, et al.. (2022). SITB-OSED: An Odia Speech Emotion Dataset. 1–5.
11.
Swain, Monorama, et al.. (2021). Differential exponential entropy-based multilevel threshold selection methodology for colour satellite images using equilibrium-cuckoo search optimizer. Engineering Applications of Artificial Intelligence. 109. 104599–104599. 17 indexed citations
12.
Swain, Monorama, et al.. (2021). Convolutional Gated Recurrent Units (CGRU) for Emotion Recognition in Odia Language. 1. 269–273. 3 indexed citations
13.
Swain, Monorama, Aurobinda Routray, & Prithviraj Kabisatpathy. (2018). Databases, features and classifiers for speech emotion recognition: a review. International Journal of Speech Technology. 21(1). 93–120. 217 indexed citations
14.
Swain, Monorama, Aurobinda Routray, Prithviraj Kabisatpathy, & Jogendra Nath Kundu. (2016). Study of prosodic feature extraction for multidialectal Odia speech emotion recognition. 1644–1649. 7 indexed citations
15.
Swain, Monorama, et al.. (2015). Study of feature combination using HMM and SVM for multilingual Odiya speech emotion recognition. International Journal of Speech Technology. 18(3). 387–393. 19 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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