Nilam

506 total citations
25 papers, 383 citations indexed

About

Nilam is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Nilam has authored 25 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 18 papers in Genetics and 17 papers in Modeling and Simulation. Recurrent topics in Nilam's work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Evolution and Genetic Dynamics (16 papers) and COVID-19 epidemiological studies (15 papers). Nilam is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Evolution and Genetic Dynamics (16 papers) and COVID-19 epidemiological studies (15 papers). Nilam collaborates with scholars based in India. Nilam's co-authors include Harendra Pal Singh and has published in prestigious journals such as Nonlinear Dynamics, Alexandria Engineering Journal and Applied Intelligence.

In The Last Decade

Nilam

25 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilam India 14 314 266 209 46 27 25 383
Huicong Li China 10 473 1.5× 512 1.9× 361 1.7× 47 1.0× 10 0.4× 19 643
Xiao‐Bing Zhang China 13 439 1.4× 321 1.2× 220 1.1× 42 0.9× 21 0.8× 33 539
Shufan Wang China 10 199 0.6× 73 0.3× 163 0.8× 10 0.2× 10 0.4× 31 325
A. H. Hashish Egypt 6 227 0.7× 255 1.0× 65 0.3× 35 0.8× 24 0.9× 10 441
Fei-Ying Yang China 18 682 2.2× 553 2.1× 335 1.6× 40 0.9× 18 0.7× 49 805
Abdelfatah Kouidere Morocco 11 121 0.4× 175 0.7× 36 0.2× 16 0.3× 87 3.2× 23 284
Lahcen Omari Morocco 7 475 1.5× 427 1.6× 281 1.3× 45 1.0× 15 0.6× 16 543
Rachidi B. Salako United States 12 286 0.9× 365 1.4× 189 0.9× 22 0.5× 11 0.4× 41 410
Abdelilah Kaddar Morocco 9 226 0.7× 203 0.8× 121 0.6× 43 0.9× 17 0.6× 29 341
Jaouad Danane Morocco 11 278 0.9× 317 1.2× 82 0.4× 29 0.6× 36 1.3× 21 424

Countries citing papers authored by Nilam

Since Specialization
Citations

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

Fields of papers citing papers by Nilam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilam

This figure shows the co-authorship network connecting the top 25 collaborators of Nilam. A scholar is included among the top collaborators of Nilam 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 Nilam. Nilam 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.
Nilam, et al.. (2024). Fractional order model using Caputo fractional derivative to analyse the effects of social media on mental health during Covid-19. Alexandria Engineering Journal. 92. 336–345. 3 indexed citations
2.
Nilam, et al.. (2023). Mathematical modeling of terrorism dynamics: Qualitative analysis and theoretical perspective. Mathematical Methods in the Applied Sciences. 48(1). 32–51. 1 indexed citations
3.
Nilam, et al.. (2023). Comparison of machine learning techniques for precision in measurement of glucose level in artificial pancreas. Mathematical Methods in the Applied Sciences. 48(7). 7595–7608. 1 indexed citations
4.
Nilam, et al.. (2023). Dynamics of a nonlinear epidemic transmission model incorporating a class of hospitalized individuals: a qualitative analysis and simulation. Journal of Physics A Mathematical and Theoretical. 56(41). 415601–415601. 1 indexed citations
5.
Nilam, et al.. (2022). Fractional order SIR epidemic model with Beddington–De Angelis incidence and Holling type II treatment rate for COVID-19. Journal of Applied Mathematics and Computing. 68(6). 3835–3859. 17 indexed citations
6.
Nilam, et al.. (2022). A Fractional-Order Epidemic Model with Quarantine Class and Nonmonotonic Incidence: Modeling and Simulations. Iranian Journal of Science and Technology Transactions A Science. 46(4). 1249–1263. 4 indexed citations
7.
Nilam, et al.. (2022). Computer-controlled diabetes disease diagnosis technique based on fuzzy inference structure for insulin-dependent patients. Applied Intelligence. 53(2). 1945–1958. 6 indexed citations
8.
Singh, Harendra Pal, et al.. (2022). A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management. International Journal of Biomathematics. 15(7). 3 indexed citations
9.
Nilam, et al.. (2021). Stability analysis of a logistic growth epidemic model with two explicit time-delays, the nonlinear incidence and treatment rates. Journal of Applied Mathematics and Computing. 68(3). 1901–1928. 7 indexed citations
10.
Nilam, et al.. (2020). A study on the stability behavior of an epidemic model with ratio-dependent incidence and saturated treatment. Theory in Biosciences. 139(2). 225–234. 15 indexed citations
11.
Nilam, et al.. (2020). Nonlinear dynamics of a time-delayed epidemic model with two explicit aware classes, saturated incidences, and treatment. Nonlinear Dynamics. 101(3). 1693–1715. 27 indexed citations
12.
Nilam, et al.. (2020). A deterministic time-delayed SVIRS epidemic model with incidences and saturated treatment. Journal of Engineering Mathematics. 121(1). 19–38. 22 indexed citations
13.
Nilam, et al.. (2019). A mathematical and numerical study of a SIR epidemic model with time delay, nonlinear incidence and treatment rates. Theory in Biosciences. 138(2). 203–213. 25 indexed citations
14.
Nilam, et al.. (2019). A deterministic time-delayed SIR epidemic model: mathematical modeling and analysis. Theory in Biosciences. 139(1). 67–76. 37 indexed citations
15.
Nilam, et al.. (2019). Dynamic Behavior of an SIR Epidemic Model along with Time Delay; Crowley–Martin Type Incidence Rate and Holling Type II Treatment Rate. International Journal of Nonlinear Sciences and Numerical Simulation. 20(7-8). 757–771. 19 indexed citations
16.
17.
Nilam, et al.. (2019). Mathematical analysis of a delayed epidemic model with nonlinear incidence and treatment rates. Journal of Engineering Mathematics. 115(1). 1–20. 23 indexed citations
18.
Nilam, et al.. (2018). Dynamical Model of Epidemic Along with Time Delay; Holling Type II Incidence Rate and Monod–Haldane Type Treatment Rate. Differential Equations and Dynamical Systems. 27(1-3). 299–312. 23 indexed citations
19.
Nilam, et al.. (2017). Stability of a Time Delayed SIR Epidemic Model Along with Nonlinear Incidence Rate and Holling Type-II Treatment Rate. International Journal of Computational Methods. 15(6). 1850055–1850055. 37 indexed citations
20.
Nilam, et al.. (2016). ODE models for the management of diabetes: A review. International Journal of Diabetes in Developing Countries. 37(1). 4–15. 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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