Smita Parija

585 total citations
38 papers, 295 citations indexed

About

Smita Parija is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Smita Parija has authored 38 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Smita Parija's work include Wireless Communication Networks Research (19 papers), Artificial Intelligence in Healthcare (7 papers) and Advanced MIMO Systems Optimization (7 papers). Smita Parija is often cited by papers focused on Wireless Communication Networks Research (19 papers), Artificial Intelligence in Healthcare (7 papers) and Advanced MIMO Systems Optimization (7 papers). Smita Parija collaborates with scholars based in India, Lebanon and United States. Smita Parija's co-authors include Madhumita Pal, Prasanna Kumar Sahu, Sudhansu Sekhar Singh, Ranjan K. Mohapatra, Kuldeep Dhama, Santosh Kumar Nanda, Rajeev Ranjan, Snehasish Mishra, Ganapati Panda and Swati Swayamsiddha and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and Engineering Applications of Artificial Intelligence.

In The Last Decade

Smita Parija

26 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Smita Parija India 8 114 101 62 56 35 38 295
Michele Bernardini Italy 8 135 1.2× 162 1.6× 40 0.6× 38 0.7× 13 0.4× 15 358
Abdullah M. Albarrak Saudi Arabia 7 50 0.4× 71 0.7× 25 0.4× 30 0.5× 20 0.6× 22 194
Leandro Dias da Silva Brazil 9 79 0.7× 88 0.9× 8 0.1× 25 0.4× 20 0.6× 50 312
S. Paredes Portugal 10 77 0.7× 113 1.1× 17 0.3× 12 0.2× 132 3.8× 48 314
Isha Mahajan India 7 35 0.3× 68 0.7× 34 0.5× 194 3.5× 14 0.4× 8 356
Ahmad Abuashour Jordan 9 29 0.3× 42 0.4× 121 2.0× 116 2.1× 7 0.2× 12 309
Md. Mahfujur Rahman Bangladesh 11 124 1.1× 101 1.0× 27 0.4× 21 0.4× 11 0.3× 25 358
Álvaro Sobrinho Brazil 8 83 0.7× 97 1.0× 10 0.2× 25 0.4× 31 0.9× 37 264
Md. Mamun Ali Bangladesh 8 237 2.1× 185 1.8× 8 0.1× 11 0.2× 56 1.6× 24 439
Fatema Shaikh Saudi Arabia 10 22 0.2× 76 0.8× 72 1.2× 137 2.4× 3 0.1× 17 335

Countries citing papers authored by Smita Parija

Since Specialization
Citations

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

Fields of papers citing papers by Smita Parija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Parija

This figure shows the co-authorship network connecting the top 25 collaborators of Smita Parija. A scholar is included among the top collaborators of Smita Parija 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 Smita Parija. Smita Parija 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.
Muduli, Debendra, et al.. (2025). Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques. Array. 26. 100397–100397. 3 indexed citations
2.
3.
Mahanta, Ganeswar, et al.. (2025). Multilayer neural network analysis of penta-hybrid nanofluid flow with entropy optimization: Application to rocket engine nozzle cooling. Engineering Applications of Artificial Intelligence. 156. 111106–111106. 8 indexed citations
4.
Gupta, Indrajeet, Rakesh Ranjan Kumar, Debendra Muduli, Satyasis Mishra, & Smita Parija. (2025). A Machine Learning Approach for Credit Card Fraud Detection using Feature Engineering and Ensemble Models. 1–6.
5.
Parija, Smita, et al.. (2025). An enhanced artificial learning framework for moving object detection in challenging video scenes. Alexandria Engineering Journal. 129. 329–345.
6.
Parija, Smita, et al.. (2025). Implementation and performance analysis of k-nearest neighbors algorithm for classification. IET conference proceedings.. 2025(7). 1478–1483.
7.
Pal, Madhumita, Smita Parija, & Ganapati Panda. (2024). An effective ensemble approach for classification of chest X-ray images having symptoms of COVID: A precautionary measure for the COVID-19 subvariants. SHILAP Revista de lepidopterología. 8. 100547–100547.
8.
9.
Parija, Smita, et al.. (2023). Graph Based Systematic Synthesis Procedure of gm-C Filter. 407–412. 1 indexed citations
10.
Pal, Madhumita, Smita Parija, Ranjan K. Mohapatra, et al.. (2022). Symptom‐Based COVID‐19 Prognosis through AI‐Based IoT: A Bioinformatics Approach. BioMed Research International. 2022(1). 3113119–3113119. 18 indexed citations
11.
Mohapatra, Ranjan K., et al.. (2022). Machine learning for the classification of breast cancer tumor: a comparative analysis. Journal of Experimental Biology and Agricultural Sciences. 10(2). 440–450. 3 indexed citations
12.
Pal, Madhumita, et al.. (2022). Risk prediction of cardiovascular disease using machine learning classifiers. Open Medicine. 17(1). 1100–1113. 66 indexed citations
13.
Swayamsiddha, Swati, et al.. (2019). Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm. Heliyon. 5(3). e01276–e01276. 7 indexed citations
14.
Parija, Smita, Swati Swayamsiddha, Prasanna Kumar Sahu, & Sudhansu Sekhar Singh. (2019). Profile based location update for cellular network using mobile phone data. Microsystem Technologies. 27(2). 369–377.
15.
Singh, Sudhansu Sekhar, et al.. (2018). IMPACT OF DWELL TIME DISTRIBUTION ON LOCATION MANAGEMENT IN CELLULAR NETWORKS. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Swayamsiddha, Swati, Smita Parija, Prasanna Kumar Sahu, & Sudhansu Sekhar Singh. (2017). Optimal Reporting Cell Planning with Binary Differential Evolution Algorithm for Location Management Problem. International Journal of Intelligent Systems and Applications. 9(4). 23–31. 4 indexed citations
17.
Parija, Smita, Prasanna Kumar Sahu, & Sudhansu Sekhar Singh. (2017). Cost Reduction in Location Management Using Reporting Cell Planning and Particle Swarm Optimization. Wireless Personal Communications. 96(1). 1613–1633. 6 indexed citations
18.
Parija, Smita, et al.. (2015). Dynamic profile based paging in mobile communication. 6 indexed citations
19.
Parija, Smita, Prasanna Kumar Sahu, & Sudhansu Sekhar Singh. (2014). Evolutionary algorithm for cost reduction in cellular network. 1–6. 6 indexed citations
20.
Parija, Smita, Rajeev Ranjan, & Prasanna Kumar Sahu. (2013). Location prediction of mobility management using neural network techniques in cellular network. 1–4. 15 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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