Tapas Si

791 total citations
61 papers, 450 citations indexed

About

Tapas Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tapas Si has authored 61 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tapas Si's work include Metaheuristic Optimization Algorithms Research (18 papers), Medical Image Segmentation Techniques (10 papers) and Brain Tumor Detection and Classification (9 papers). Tapas Si is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Medical Image Segmentation Techniques (10 papers) and Brain Tumor Detection and Classification (9 papers). Tapas Si collaborates with scholars based in India, Brazil and United States. Tapas Si's co-authors include Péricles Miranda, Saurav Mallik, Anup Kumar Bhattacharjee, Utpal Nandi, Nanda Dulal Jana, Pabitra Pal, Rituparna Ghosh, Biplab Mandal, Asim Bikas Das and Ming Yu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Tapas Si

52 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tapas Si India	12	238	119	73	66	62	61	450
Weimin Huang China	11	165 0.7×	138 1.2×	44 0.6×	35 0.5×	41 0.7×	28	367
Jinze Liu China	11	265 1.1×	83 0.7×	102 1.4×	36 0.5×	17 0.3×	47	489
Mohammad Hashem Ryalat Jordan	10	232 1.0×	80 0.7×	79 1.1×	27 0.4×	24 0.4×	19	389
Jianhua Qu China	10	276 1.2×	76 0.6×	126 1.7×	51 0.8×	120 1.9×	36	707
Abeer Saber Egypt	13	408 1.7×	156 1.3×	222 3.0×	142 2.2×	27 0.4×	24	694
Shankar Thawkar India	14	228 1.0×	142 1.2×	218 3.0×	53 0.8×	21 0.3×	23	511
Pakize Erdoğmuş Türkiye	11	133 0.6×	85 0.7×	42 0.6×	31 0.5×	45 0.7×	45	328
Manas Ranjan Senapati India	15	258 1.1×	141 1.2×	111 1.5×	35 0.5×	68 1.1×	48	543
Yousef Alhwaiti Saudi Arabia	10	141 0.6×	100 0.8×	87 1.2×	34 0.5×	38 0.6×	22	385

Countries citing papers authored by Tapas Si

Since Specialization

Citations

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

Fields of papers citing papers by Tapas Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapas Si

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

All Works

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20 of 20 papers shown

Nandi, Utpal, et al.. (2025). Blockchain-integrated image steganography using xDoG edge detection for authentication. 3. 100091–100091. 2 indexed citations

Chakraborty, Pritam, et al.. (2025). OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction. PLoS ONE. 20(8). e0328967–e0328967.

Si, Tapas, Péricles Miranda, Utpal Nandi, et al.. (2025). QSHO: Quantum spotted hyena optimizer for global optimization. Artificial Intelligence Review. 58(3). 3 indexed citations

Si, Tapas, et al.. (2025). SUSAN: A deep learning-based architecture for violence detection against women in surveillance videos. Expert Systems with Applications. 280. 127337–127337.

Nandi, Utpal, et al.. (2024). aMacP: An adaptive optimization algorithm for Deep Neural Network. Neurocomputing. 620. 129242–129242.

Jana, Nanda Dulal, et al.. (2024). CCLCap-AE-AVSS: Cycle consistency loss based capsule autoencoders for audio–visual speech synthesis. Journal of Intelligent Systems. 33(1). 2 indexed citations

Pal, Pabitra, et al.. (2023). A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform. Multimedia Tools and Applications. 82(26). 41187–41206. 7 indexed citations

Si, Tapas, et al.. (2023). Identification of breast lesion through integrated study of gorilla troops optimization and rotation-based learning from MRI images. Scientific Reports. 13(1). 11577–11577. 5 indexed citations

Si, Tapas, et al.. (2023). Lesion detection in women breast’s dynamic contrast-enhanced magnetic resonance imaging using deep learning. Scientific Reports. 13(1). 22555–22555. 6 indexed citations

10.

Si, Tapas. (2023). 2D MRI registration using glowworm swarm optimization with partial opposition-based learning for brain tumor progression. Pattern Analysis and Applications. 26(3). 1265–1290. 1 indexed citations

11.

Si, Tapas, et al.. (2022). Artificial Neural Network training using metaheuristics for medical data classification: An experimental study. Expert Systems with Applications. 193. 116423–116423. 45 indexed citations

12.

Si, Tapas, et al.. (2022). Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems. Expert Systems with Applications. 207. 117961–117961. 42 indexed citations

13.

Si, Tapas, et al.. (2022). A Deep Learning–Based Framework for Supporting Clinical Diagnosis of Glioblastoma Subtypes. Frontiers in Genetics. 13. 855420–855420. 18 indexed citations

14.

Nandi, Utpal, et al.. (2022). DiffMoment: an adaptive optimization technique for convolutional neural network. Applied Intelligence. 53(13). 16844–16858. 11 indexed citations

15.

Si, Tapas, et al.. (2021). Kidney MRI Segmentation for Lesion Detection Using Clustering with Slime Mould Algorithm. 1–6. 1 indexed citations

16.

Ali, Ahmad, et al.. (2018). The Augmented Approach towards Equilibrated Nexus Era into the Wireless Rechargeable Sensor Network. Symmetry. 10(11). 639–639. 1 indexed citations

17.

Ali, Ahmad, et al.. (2018). Enhancement of RWSN Lifetime via Firework Clustering Algorithm Validated by ANN. Information. 9(3). 60–60. 19 indexed citations

18.

Si, Tapas, et al.. (2016). Artificial Neural Network based Lesion Segmentation of Brain MRI. Communications on Applied Electronics. 4(5). 1–5. 6 indexed citations

19.

Jana, Nanda Dulal, Tapas Si, & Jaya Sil. (2012). Particle Swarm Optimization with Adaptive Mutation in Local Best of Particles. 2 indexed citations

20.

Si, Tapas, Nanda Dulal Jana, & Jaya Sil. (2011). Particle Swarm Optimization with adaptive polynomial mutation. 143–147. 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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