Anuj Kumar

429 total citations
21 papers, 311 citations indexed

About

Anuj Kumar is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Anuj Kumar has authored 21 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 16 papers in Modeling and Simulation and 9 papers in Genetics. Recurrent topics in Anuj Kumar's work include COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Evolution and Genetic Dynamics (9 papers). Anuj Kumar is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Evolution and Genetic Dynamics (9 papers). Anuj Kumar collaborates with scholars based in India, Japan and Algeria. Anuj Kumar's co-authors include Prashant K. Srivastava, Yasuhiro Takeuchi, Yueping Dong, R. P. Gupta, Anuradha Yadav, Akhil Kumar Srivastav, Mini Ghosh, Kajal Kumar Biswas, Anuradha Tarafdar and Harsh Kumar Dikshit and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Theoretical Biology.

In The Last Decade

Anuj Kumar

18 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anuj Kumar India 10 232 226 104 41 27 21 311
Hui Wan China 11 182 0.8× 249 1.1× 128 1.2× 41 1.0× 16 0.6× 22 313
Youping Yang China 11 164 0.7× 228 1.0× 113 1.1× 43 1.0× 28 1.0× 19 318
Dhiraj Kumar Das India 11 299 1.3× 290 1.3× 142 1.4× 73 1.8× 22 0.8× 19 420
Quentin Griette France 11 175 0.8× 130 0.6× 77 0.7× 62 1.5× 9 0.3× 24 235
P.K. Santra India 11 177 0.8× 246 1.1× 124 1.2× 51 1.2× 35 1.3× 38 327
Zhien Ma China 5 230 1.0× 251 1.1× 160 1.5× 34 0.8× 22 0.8× 5 320
Sangeeta Saha India 13 285 1.2× 405 1.8× 241 2.3× 60 1.5× 13 0.5× 33 516
Norberto Aníbal Maidana Brazil 6 127 0.5× 252 1.1× 95 0.9× 68 1.7× 16 0.6× 20 290
Ibrahim M. Elmojtaba Oman 11 130 0.6× 280 1.2× 114 1.1× 56 1.4× 9 0.3× 25 333
Chandra Nath Podder Bangladesh 6 168 0.7× 219 1.0× 95 0.9× 74 1.8× 7 0.3× 14 291

Countries citing papers authored by Anuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Kumar. A scholar is included among the top collaborators of Anuj Kumar 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 Anuj Kumar. Anuj Kumar 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.
Kumar, Anuj & Ashok Kumar Chaubey. (2025). Ontogenetic Changes in Feeding Behaviour and Nutrient Allocation in Zygogramma bicolorata on Parthenium hysterophorus. Agricultural Research Journal. 62(2). 174–180.
2.
3.
Kumar, Anuj, et al.. (2025). Modeling and Optimal Management of Control Policies for Vector‐Borne Diseases: A Study of Cost‐Effectiveness and Policy Impact. Optimal Control Applications and Methods. 46(6). 2882–2915.
4.
Nidhi, Nidhi, et al.. (2024). Assessing the impact of information-induced self-protection on Zika transmission: A mathematical modeling approach. SHILAP Revista de lepidopterología. 12(1). 2 indexed citations
5.
Kumar, Anuj, et al.. (2023). Study of the impact of information and limited medical resources on Zika prevalence: an optimal control approach. The European Physical Journal Plus. 138(12). 2 indexed citations
6.
Kumar, Anuj, Yasuhiro Takeuchi, & Prashant K. Srivastava. (2023). Stability switches, periodic oscillations and global stability in an infectious disease model with multiple time delays. Mathematical Biosciences & Engineering. 20(6). 11000–11032. 7 indexed citations
7.
Srivastav, Akhil Kumar, et al.. (2022). Modeling and prediction of the third wave of COVID-19 spread in India. SHILAP Revista de lepidopterología. 10(1). 231–248. 2 indexed citations
8.
Srivastav, Akhil Kumar, Anuj Kumar, Prashant K. Srivastava, & Mini Ghosh. (2021). Modeling and optimal control of dengue disease with screening and information. The European Physical Journal Plus. 136(11). 15 indexed citations
9.
Kumar, Anuj, et al.. (2021). DYNAMICS OF AN INFECTIOUS DISEASE IN THE PRESENCE OF SATURATED MEDICAL TREATMENT OF HOLLING TYPE III AND SELF-PROTECTION. Journal of Biological Systems. 29(2). 245–289. 3 indexed citations
10.
Kumar, Anuj & Prashant K. Srivastava. (2019). Delayed information induced self-protection leads to oscillations in an epidemic model. AIP conference proceedings. 2061. 20035–20035. 1 indexed citations
11.
Kumar, Anuj & Prashant K. Srivastava. (2019). Role of Optimal Screening and Treatment on Infectious Diseases Dynamics in Presence of Self-protection of Susceptible. Differential Equations and Dynamical Systems. 31(1). 135–163. 10 indexed citations
12.
Kumar, Anuj, Prashant K. Srivastava, & Anuradha Yadav. (2019). Delayed information induces oscillations in a dynamical model for infectious disease. International Journal of Biomathematics. 12(2). 1950020–1950020. 13 indexed citations
13.
Kumar, Anuj, Prashant K. Srivastava, Yueping Dong, & Yasuhiro Takeuchi. (2019). Optimal control of infectious disease: Information-induced vaccination and limited treatment. Physica A Statistical Mechanics and its Applications. 542. 123196–123196. 43 indexed citations
14.
Kumar, Anuj, Prashant K. Srivastava, & R. P. Gupta. (2018). Nonlinear dynamics of infectious diseases via information-induced vaccination and saturated treatment. Mathematics and Computers in Simulation. 157. 77–99. 32 indexed citations
15.
Kumar, Anuj, et al.. (2017). EXISTENCE OF HOPF-BIFURCATION IN A 6-DIMENSIONAL SYSTEM. 21(1). 3 indexed citations
16.
Kumar, Anuj, Prashant K. Srivastava, & Yasuhiro Takeuchi. (2016). Modeling the role of information and limited optimal treatment on disease prevalence. Journal of Theoretical Biology. 414. 103–119. 68 indexed citations
17.
Kumar, Anuj & Prashant K. Srivastava. (2016). Vaccination and treatment as control interventions in an infectious disease model with their cost optimization. Communications in Nonlinear Science and Numerical Simulation. 44. 334–343. 51 indexed citations
18.
Kumar, Anuj, et al.. (2016). Modeling the effect of toxicant on the deformity in a subclass of a biological species. Modeling Earth Systems and Environment. 2(1). 5 indexed citations
19.
Yadav, Anuradha, Prashant K. Srivastava, & Anuj Kumar. (2014). Mathematical model for smoking: Effect of determination and education. International Journal of Biomathematics. 8(1). 1550001–1550001. 15 indexed citations
20.
Biswas, Kajal Kumar, Anuradha Tarafdar, Anuj Kumar, Harsh Kumar Dikshit, & V. G. Malathi. (2009). Multiple infection in urdbean (Vigna mungo) in natural condition by begomovirus, tospovirus and urdbean leaf crinkle virus complex. Indian Phytopathology. 62(1). 75–82. 13 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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