Nitu Kumari

668 total citations · 1 hit paper
40 papers, 478 citations indexed

About

Nitu Kumari is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Nitu Kumari has authored 40 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 16 papers in Genetics and 14 papers in Modeling and Simulation. Recurrent topics in Nitu Kumari's work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (16 papers) and COVID-19 epidemiological studies (9 papers). Nitu Kumari is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (16 papers) and COVID-19 epidemiological studies (9 papers). Nitu Kumari collaborates with scholars based in India, United States and Algeria. Nitu Kumari's co-authors include Festus Abiodun Oguntolu, Olumuyiwa James Peter, Musa Rabiu, Kayode Oshinubi, Sandeep Sharma, Krishna Pada Das, Mayowa M. Ojo, Abdullahi Yusuf, Ravi P. Agarwal and Kamal Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

Nitu Kumari

32 papers receiving 463 citations

Hit Papers

Transmission dynamics of Monkeypox virus: a mathematical ... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transmission dynamics of Monkeypox virus: a mathematical modelling approach
    2021 191 citations Olumuyiwa James Peter, Nitu Kumari et al. Modeling Earth Systems and Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitu Kumari India 11 244 164 157 131 89 40 478
Kayode Oshinubi France 14 234 1.0× 68 0.4× 208 1.3× 318 2.4× 119 1.3× 39 644
Zhipeng Qiu China 12 320 1.3× 192 1.2× 57 0.4× 198 1.5× 14 0.2× 39 486
Xiangyun Shi China 17 552 2.3× 355 2.2× 53 0.3× 298 2.3× 18 0.2× 50 728
Yassine Sabbar Morocco 13 314 1.3× 87 0.5× 37 0.2× 314 2.4× 30 0.3× 54 552
Juhua Liang China 14 399 1.6× 193 1.2× 8 0.1× 238 1.8× 39 0.4× 25 792
İsnani Darti Indonesia 13 371 1.5× 162 1.0× 22 0.1× 308 2.4× 11 0.1× 66 483
Xiaowu Jiang China 11 220 0.9× 68 0.4× 11 0.1× 45 0.3× 36 0.4× 21 315
Emmanuel Addai China 12 185 0.8× 30 0.2× 74 0.5× 253 1.9× 30 0.3× 20 370
Parthasakha Das India 13 217 0.9× 91 0.6× 11 0.1× 310 2.4× 104 1.2× 28 477
Maria C. A. Leite United States 10 106 0.4× 62 0.4× 10 0.1× 85 0.6× 79 0.9× 23 358

Countries citing papers authored by Nitu Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Nitu Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitu Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Nitu Kumari. A scholar is included among the top collaborators of Nitu Kumari 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 Nitu Kumari. Nitu Kumari 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.
Kumari, Nitu, et al.. (2025). Species migration induced by fear triggers synchrony in two-habitat system. Journal of Computational Science. 85. 102512–102512. 1 indexed citations
2.
Singh, Anurag & Nitu Kumari. (2025). Modeling Moose–Wolf interactions in Isle Royale National Park using sparse identification of nonlinear dynamics. Scientific Reports. 15(1). 34683–34683.
3.
Kumari, Nitu, et al.. (2025). Autonomous and non-autonomous dynamics of an SIRS model with convex incidence rate. Journal of the Franklin Institute. 362(18). 108236–108236.
4.
Kumari, Nitu & Anurag Singh. (2025). Data-driven enhancement of the Hastings–Powell model using sparse identification algorithm. Journal of Computational Science. 91. 102682–102682.
5.
6.
Kumari, Nitu, et al.. (2024). Modelling the spread of MonkeyPox in USA with vertical transmission and saturated treatment. Physica Scripta. 100(7). 75271–75271.
7.
Kumari, Nitu, et al.. (2024). Recent Insights on the Prospective role of Phytocompounds in Modulating Gut-Brain Axis. Current Pharmacology Reports. 10(6). 330–348.
8.
Kumari, Nitu, et al.. (2023). Emerging Role of Plant-Based Bioactive Compounds as Therapeutics in Parkinson’s Disease. Molecules. 28(22). 7588–7588. 11 indexed citations
9.
Sharma, Sandeep, et al.. (2023). Modelling the effect of environmental pollution on Zika outbreak: A case study of Brazil. Discrete and Continuous Dynamical Systems - S. 18(5). 1132–1158. 3 indexed citations
10.
Kumari, Nitu, et al.. (2023). Application of dynamic mode decomposition and compatible window-wise dynamic mode decomposition in deciphering COVID-19 dynamics of India. SHILAP Revista de lepidopterología. 11(1). 2 indexed citations
11.
Peter, Olumuyiwa James, et al.. (2021). Transmission dynamics of Monkeypox virus: a mathematical modelling approach. Modeling Earth Systems and Environment. 8(3). 3423–3434. 191 indexed citations breakdown →
12.
Kundu, Soumen, et al.. (2021). Stability and bifurcation analysis of a heroin model with diffusion, delay and nonlinear incidence rate. Modeling Earth Systems and Environment. 8(1). 1351–1362. 5 indexed citations
13.
Kumari, Nitu, et al.. (2021). Basic reproduction number estimation and forecasting of COVID-19: A case study of India, Brazil and Peru. Communications on Pure & Applied Analysis. 22(2). 417–440. 3 indexed citations
14.
Kumari, Nitu, et al.. (2021). Coexistence States of a Ratio-Dependent Predator-Prey Model with Nonlinear Diffusion. Acta Applicandae Mathematicae. 176(1). 1 indexed citations
15.
Kumari, Nitu, et al.. (2020). A study of chaos and its possible control in an eco-epidemiological model with alternative food source in predator and weak allee effect in prey species. Nonlinear studies. 27(3). 725–751.
16.
Kumari, Nitu, et al.. (2020). Positive solutions and pattern formation in a diffusive tritrophic system with Crowley–Martin functional response. Nonlinear Dynamics. 100(1). 763–784. 10 indexed citations
17.
Kumari, Nitu, et al.. (2020). Fundamental Concepts of Synchronization. Resonance. 25(4). 539–565. 2 indexed citations
18.
Kumari, Nitu, et al.. (2020). Controlling chaos in three species food chain model with fear effect. AIMS Mathematics. 5(2). 828–842. 21 indexed citations
19.
Kumari, Nitu, et al.. (2019). Cross Diffusion Induced Turing Patterns in a Tritrophic Food Chain Model with Crowley-Martin Functional Response. Mathematics. 7(3). 229–229. 11 indexed citations
20.
Sharma, Sandeep & Nitu Kumari. (2017). Why to consider environmental pollution in cholera modeling?. Mathematical Methods in the Applied Sciences. 40(18). 6348–6370. 4 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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