Parimala Thulasiraman

1.8k total citations
101 papers, 1.2k citations indexed

About

Parimala Thulasiraman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Parimala Thulasiraman has authored 101 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 33 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Parimala Thulasiraman's work include Metaheuristic Optimization Algorithms Research (14 papers), Stochastic processes and financial applications (13 papers) and Distributed and Parallel Computing Systems (11 papers). Parimala Thulasiraman is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Stochastic processes and financial applications (13 papers) and Distributed and Parallel Computing Systems (11 papers). Parimala Thulasiraman collaborates with scholars based in Canada, Australia and United States. Parimala Thulasiraman's co-authors include Ruppa K. Thulasiram, Jianping Wang, Bhanu Sharma, Rajkumar Buyya, Saurabh Garg, Ranesh Kumar Naha, Steven Davidoff Solomon, Aniket Mahanti, Girish Kumar Jha and Bahman Javadi and has published in prestigious journals such as Sensors, IEEE Transactions on Aerospace and Electronic Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Parimala Thulasiraman

95 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parimala Thulasiraman Canada 16 545 297 273 228 117 101 1.2k
Ruppa K. Thulasiram Canada 20 665 1.2× 307 1.0× 514 1.9× 279 1.2× 403 3.4× 134 1.5k
Hejiao Huang China 22 893 1.6× 320 1.1× 575 2.1× 455 2.0× 108 0.9× 122 1.6k
Chi‐Hung Chi China 19 599 1.1× 423 1.4× 629 2.3× 112 0.5× 58 0.5× 168 1.3k
Zhenming Liu United States 12 573 1.1× 209 0.7× 170 0.6× 150 0.7× 127 1.1× 38 1.1k
G. Sahoo India 25 586 1.1× 684 2.3× 434 1.6× 269 1.2× 256 2.2× 119 1.7k
Tao Shu United States 26 1.3k 2.3× 361 1.2× 507 1.9× 766 3.4× 65 0.6× 128 2.0k
Wei-Yang Lin Taiwan 13 570 1.0× 670 2.3× 128 0.5× 50 0.2× 60 0.5× 68 1.2k
Ioannis Lambadaris Canada 25 1.6k 2.9× 172 0.6× 274 1.0× 775 3.4× 73 0.6× 208 2.0k
Devrim Ünal Qatar 17 691 1.3× 439 1.5× 482 1.8× 131 0.6× 77 0.7× 37 1.2k
Mamoun Awad United Arab Emirates 11 369 0.7× 372 1.3× 169 0.6× 42 0.2× 80 0.7× 31 838

Countries citing papers authored by Parimala Thulasiraman

Since Specialization
Citations

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

Fields of papers citing papers by Parimala Thulasiraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parimala Thulasiraman

This figure shows the co-authorship network connecting the top 25 collaborators of Parimala Thulasiraman. A scholar is included among the top collaborators of Parimala Thulasiraman 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 Parimala Thulasiraman. Parimala Thulasiraman 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.
Aziz, Md Momin Al, Parimala Thulasiraman, & Noman Mohammed. (2022). Parallel and private generalized suffix tree construction and query on genomic data. BMC Genomic Data. 23(1). 45–45.
2.
Thulasiraman, Parimala, et al.. (2021). Evolving convolutional neural network parameters through the genetic algorithm for the breast cancer classification problem. SIMULATION. 97(8). 511–527. 34 indexed citations
3.
Thulasiraman, Parimala, et al.. (2020). LPR: A bio-inspired intelligent learning path recommendation system based on meaningful learning theory. Education and Information Technologies. 25(5). 3797–3819. 66 indexed citations
4.
Battula, Sudheer Kumar, Saurabh Garg, Ranesh Kumar Naha, Parimala Thulasiraman, & Ruppa K. Thulasiram. (2019). A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. Sensors. 19(13). 2954–2954. 27 indexed citations
5.
Thulasiram, Ruppa K., et al.. (2019). Design and Implementation of Financial Smart Contract Services on Blockchain. 1023–1030. 6 indexed citations
6.
Thulasiraman, Parimala, et al.. (2019). An OpenMP-based tool for finding longest common subsequence in bioinformatics. BMC Research Notes. 12(1). 220–220. 11 indexed citations
7.
Liu, Yijie, et al.. (2019). Traffic Aware Many-Objective Dynamic Route Planning. 1241–1248. 3 indexed citations
8.
Singh, Sameer, Ruppa K. Thulasiram, & Parimala Thulasiraman. (2013). A novel application of ACO to price transmission rights in electricity markets. 9. 267–273. 1 indexed citations
9.
Sharma, Bhanu, Ruppa K. Thulasiram, & Parimala Thulasiraman. (2013). Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit. The Journal of Supercomputing. 66(1). 170–192. 13 indexed citations
10.
Javadi, Bahman, Parimala Thulasiraman, & Rajkumar Buyya. (2012). Cloud Resource Provisioning to Extend the Capacity of Local Resources in the Presence of Failures. 311–319. 14 indexed citations
11.
Sharma, Bhanu, Ruppa K. Thulasiram, & Parimala Thulasiraman. (2012). Portfolio Management Using Particle Swarm Optimization on GPU. 103–110. 13 indexed citations
12.
Rahman, Rashedur M., Ruppa K. Thulasiram, & Parimala Thulasiraman. (2011). Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting. International Journal of Grid and High Performance Computing. 3(1). 45–68. 5 indexed citations
13.
14.
Thulasiram, Ruppa K., et al.. (2008). A bioinspired algorithm to price options. 11–11. 11 indexed citations
15.
Thulasiram, Ruppa K., et al.. (2005). Wavelet Optimized Finite-Difference Approach to Solve Jump-Diffusion type Partial Differential Equation for Option Pricing. RePEc: Research Papers in Economics. 1 indexed citations
16.
17.
Hossain, Ekram, Rajesh Palit, & Parimala Thulasiraman. (2004). Clustering in mobile wireless ad hoc networks: issues and approaches. Plenum Press eBooks. 383–424. 7 indexed citations
18.
Thulasiraman, Parimala, et al.. (2003). Parallel Algebraic Reconstruction Technique for Computed Tomography.. Parallel and Distributed Processing Techniques and Applications. 532–536. 4 indexed citations
19.
Rahman, Rashedur M., Ruppa K. Thulasiram, & Parimala Thulasiraman. (2002). Forecasting Stock Prices using Neural Networks on a Beowulf Cluster.. 465–470. 2 indexed citations
20.
Thulasiraman, Parimala, et al.. (2002). Implementation of Ant Colony Optimization Algorithm for Mobile Ad hoc Network Applications: OpenMP Experiences. Scalable Computing Practice and Experience. 5(2). 5 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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