Kamal Raj Pardasani

2.6k total citations · 1 hit paper
115 papers, 2.0k citations indexed

About

Kamal Raj Pardasani is a scholar working on Molecular Biology, Physiology and Computational Theory and Mathematics. According to data from OpenAlex, Kamal Raj Pardasani has authored 115 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 20 papers in Physiology and 18 papers in Computational Theory and Mathematics. Recurrent topics in Kamal Raj Pardasani's work include Machine Learning in Bioinformatics (20 papers), Neuroscience and Neuropharmacology Research (16 papers) and Data Mining Algorithms and Applications (14 papers). Kamal Raj Pardasani is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Neuroscience and Neuropharmacology Research (16 papers) and Data Mining Algorithms and Applications (14 papers). Kamal Raj Pardasani collaborates with scholars based in India, United States and Saudi Arabia. Kamal Raj Pardasani's co-authors include Arunodaya Raj Mishra, Pratibha Rani, Parvaiz Ahmad Naik, Abbas Mardani, Neeru Adlakha, Shivendra G. Tewari, Huchang Liao, Dalia Štreimikienė, Somdutt Mujwar and James Sneyd and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Kamal Raj Pardasani

102 papers receiving 1.9k citations

Hit Papers

A novel VIKOR approach based on entropy and divergence me... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamal Raj Pardasani India 26 532 519 316 255 189 115 2.0k
Ricardo Cao Spain 29 394 0.7× 175 0.3× 130 0.4× 34 0.1× 5 0.0× 164 2.6k
Dongyan Chen China 29 231 0.4× 44 0.1× 36 0.1× 32 0.1× 154 0.8× 199 2.7k
Jens Clausen Denmark 21 299 0.6× 136 0.3× 93 0.3× 45 0.2× 68 0.4× 88 1.8k
Zhenyuan Wang United States 20 182 0.3× 897 1.7× 18 0.1× 119 0.5× 21 0.1× 82 2.2k
Jianwu Wang United States 20 173 0.3× 105 0.2× 25 0.1× 20 0.1× 26 0.1× 160 2.2k
Can Wang China 31 262 0.5× 213 0.4× 59 0.2× 25 0.1× 6 0.0× 228 3.7k
Amandeep Kaur India 26 140 0.3× 66 0.1× 92 0.3× 13 0.1× 12 0.1× 137 2.6k
Jinting Wang China 29 118 0.2× 613 1.2× 28 0.1× 36 0.1× 65 0.3× 194 3.2k
Xiaowen Gong United States 27 146 0.3× 125 0.2× 41 0.1× 26 0.1× 20 0.1× 89 2.4k
Guy De Tré Belgium 18 387 0.7× 417 0.8× 45 0.1× 13 0.1× 23 0.1× 173 1.7k

Countries citing papers authored by Kamal Raj Pardasani

Since Specialization
Citations

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

Fields of papers citing papers by Kamal Raj Pardasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamal Raj Pardasani. 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 Kamal Raj Pardasani. The network helps show where Kamal Raj Pardasani may publish in the future.

Co-authorship network of co-authors of Kamal Raj Pardasani

This figure shows the co-authorship network connecting the top 25 collaborators of Kamal Raj Pardasani. A scholar is included among the top collaborators of Kamal Raj Pardasani 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 Kamal Raj Pardasani. Kamal Raj Pardasani 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.
Pardasani, Kamal Raj, et al.. (2025). Two-dimensional compartmental simulation of calcium dynamics in neurons. Physics of Fluids. 37(3).
2.
Pardasani, Kamal Raj, et al.. (2024). Simulation of nonlinear system dynamics of calcium and dopamine signaling in neurons. The European Physical Journal Plus. 139(5). 5 indexed citations
3.
Pardasani, Kamal Raj, et al.. (2024). Computational model of the spatiotemporal synergetic system dynamics of calcium, IP3 and dopamine in neuron cells. Cognitive Neurodynamics. 18(5). 2709–2729. 3 indexed citations
4.
Pardasani, Kamal Raj, et al.. (2024). Fractional-order interactive systems of calcium, IP3 and nitric oxide in neuronal cells. Physica Scripta. 100(2). 25206–25206.
5.
Pardasani, Kamal Raj, et al.. (2024). Nonlinear system dynamics of calcium and nitric oxide due to cell memory and superdiffusion in neurons. Communications in Theoretical Physics. 76(5). 55002–55002. 9 indexed citations
6.
Pardasani, Kamal Raj, et al.. (2024). Interactive fractional-order system dynamics of calcium, IP3 and β-amyloid in neurons. The European Physical Journal Plus. 139(8). 2 indexed citations
7.
Pardasani, Kamal Raj, et al.. (2023). Fractional order interdependent nonlinear chaotic spatiotemporal calcium and Aβ dynamics in a neuron cell. Physica Scripta. 98(8). 85206–85206. 23 indexed citations
8.
Pardasani, Kamal Raj, et al.. (2023). Fractional-order reaction–diffusion model to study the dysregulatory impacts of superdiffusion and memory on neuronal calcium and IP3 dynamics. The European Physical Journal Plus. 138(9). 21 indexed citations
9.
Pardasani, Kamal Raj, et al.. (2023). Computational model of interacting system dynamics of calcium, IP3 and β-amyloid in ischemic neuron cells. Physica Scripta. 99(1). 15025–15025. 10 indexed citations
10.
Pardasani, Kamal Raj, et al.. (2022). Effects of disorders in interdependent calcium and IP3 dynamics on nitric oxide production in a neuron cell. The European Physical Journal Plus. 137(5). 45 indexed citations
11.
Pardasani, Kamal Raj, et al.. (2022). Simulation of disturbances in interdependent calcium and β-amyloid dynamics in the nerve cell. The European Physical Journal Plus. 137(8). 36 indexed citations
12.
Pardasani, Kamal Raj, et al.. (2022). Study of disorders in regulatory spatiotemporal neurodynamics of calcium and nitric oxide. Cognitive Neurodynamics. 17(6). 1661–1682. 28 indexed citations
13.
Singh, Vinay, et al.. (2021). A Holistic, Proactive and Novel Approach for Pre, During and Post Migration Validation from Subversion to Git. Computers, materials & continua/Computers, materials & continua (Print). 66(3). 2359–2371. 14 indexed citations
14.
Mishra, Arunodaya Raj, et al.. (2020). Multi-criteria IT personnel selection on intuitionistic fuzzy information measures and ARAS methodology. Iranian journal of fuzzy systems. 17(4). 55–68. 54 indexed citations
15.
Pardasani, Kamal Raj & Neeru Adlakha. (2015). EXACT SOLUTION TO A HEAT FLOW PROBLEM IN PERIPHERAL TISSUE LAYERS WITH A SOLID TUMOR IN THE DERMIS. 22(8). 8 indexed citations
16.
Pardasani, Kamal Raj, et al.. (2015). INSILICO ANALYSIS OF DIETARY AGENTS AS ANTICANCER INHIBITORS OF INSULIN LIKE GROWTH FACTOR 1 RECEPTOR (IGF1R). International Journal of Pharmacy and Pharmaceutical Sciences. 7(9). 191–196. 6 indexed citations
17.
Tewari, Shivendra G. & Kamal Raj Pardasani. (2011). FINITE ELEMENT MODEL TO STUDY TWO DIMENSIONAL UNSTEADY STATE CYTOSOLIC CALCIUM DIFFUSION. Journal of applied mathematics & informatics. 29. 427–442. 7 indexed citations
18.
Pardasani, Kamal Raj, et al.. (2011). Next Day Stock Market Forecasting: An Application of ANN and ARIMA. SSRN Electronic Journal. 5 indexed citations
19.
Rishishwar, Lavanya, Neha Mishra, Bhasker Pant, Kumud Pant, & Kamal Raj Pardasani. (2010). Support Vector Machine Approach for Isomerases Prediction Problem. 2(5). 89–94.
20.
Pardasani, Kamal Raj, et al.. (2010). A Fast Algorithm for Multilevel Association Rule Using Hash Based Method. 2(7). 123–129. 1 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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