Maitri Verma

592 total citations
26 papers, 453 citations indexed

About

Maitri Verma is a scholar working on Global and Planetary Change, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Maitri Verma has authored 26 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Maitri Verma's work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Climate Change Policy and Economics (6 papers). Maitri Verma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Climate Change Policy and Economics (6 papers). Maitri Verma collaborates with scholars based in India, United States and Italy. Maitri Verma's co-authors include A. K. Misra, Alok Kumar Verma, J.B. Shukla, Ezio Venturino, Pankaj Kumar Tiwari, Anupama Sharma, Yun Kang, Maninder Singh Arora, Yasuhiro Takeuchi and Mangey Ram and has published in prestigious journals such as Physica D Nonlinear Phenomena, Applied Mathematics and Computation and Bulletin of Mathematical Biology.

In The Last Decade

Maitri Verma

23 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maitri Verma India	13	172	108	79	74	74	26	453
Emmanuel Quansah Ghana	17	330 1.9×	110 1.0×	10 0.1×	28 0.4×	95 1.3×	49	720
Carolynne Hultquist United States	12	277 1.6×	19 0.2×	18 0.2×	71 1.0×	9 0.1×	29	574
K. C. Gouda India	13	287 1.7×	57 0.5×	13 0.2×	61 0.8×	3 0.0×	54	498
Wisdom M. Dlamini Eswatini	11	220 1.3×	20 0.2×	20 0.3×	10 0.1×	13 0.2×	22	399
Paul Ritchie United Kingdom	11	288 1.7×	5 0.0×	51 0.6×	39 0.5×	11 0.1×	21	420
Jordan P. Smith United States	9	126 0.7×	18 0.2×	52 0.7×	107 1.4×	30 0.4×	14	371
B. S. Murthy India	13	426 2.5×	24 0.2×	24 0.3×	231 3.1×	2 0.0×	66	666
Qiaoxuan Li China	12	317 1.8×	72 0.7×	19 0.2×	58 0.8×	2 0.0×	14	515
Pratheesh C. Mammen India	11	300 1.7×	15 0.1×	31 0.4×	9 0.1×	6 0.1×	16	434

Countries citing papers authored by Maitri Verma

Since Specialization

Citations

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

Fields of papers citing papers by Maitri Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maitri Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Maitri Verma. A scholar is included among the top collaborators of Maitri Verma 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 Maitri Verma. Maitri Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Verma, Maitri, et al.. (2025). Impacts of fear, predator harvesting, rarity value, and seasonal fluctuations on a delayed predator–prey system. 5. 100077–100077.

Verma, Maitri & Alok Kumar Verma. (2025). Mathematical modeling and analysis of emission and mitigation of methane from the integrated rice–livestock farming system. Mathematical Medicine and Biology A Journal of the IMA. 42(2). 176–211.

Verma, Maitri, et al.. (2024). Mathematical modeling of emission and control of carbon dioxide from infrastructure expansion activities. Physica D Nonlinear Phenomena. 470. 134387–134387.

Verma, Maitri, et al.. (2024). Modeling the Impact of Renewable Energy Technologies on Atmospheric Carbon Dioxide Mitigation. Journal of Optimization Theory and Applications. 203(1). 1027–1053. 2 indexed citations

Misra, A. K., et al.. (2023). Modeling the effects of psychological fear and media-induced awareness on the dynamics of infectious diseases. Discrete and Continuous Dynamical Systems - B. 29(2). 909–936. 2 indexed citations

Awasthi, Mukesh Kumar, Maitri Verma, & Mangey Ram. (2023). Advances in Mathematical and Computational Modeling of Engineering Systems. 2 indexed citations

Verma, Maitri, et al.. (2023). Control of atmospheric carbon dioxide level through integrated carbon taxation-reforestation policy: a modeling study. The European Physical Journal Plus. 138(6). 4 indexed citations

Verma, Maitri & Divakar Singh. (2023). DYNAMIC STUDY OF A RATIO-DEPENDENT PREDATOR–PREY MODEL WITH STRONG ALLEE EFFECT AND NONLINEAR HARVESTING. Journal of Biological Systems. 31(4). 1287–1317. 1 indexed citations

Verma, Maitri, et al.. (2022). Optimal mitigation of atmospheric carbon dioxide through forest management programs: a modeling study. Computational and Applied Mathematics. 41(7). 10 indexed citations

10.

Verma, Maitri, Alok Kumar Verma, & A. K. Misra. (2021). Mathematical modeling and optimal control of carbon dioxide emissions from energy sector. Environment Development and Sustainability. 23(9). 13919–13944. 30 indexed citations

11.

Arora, Maninder Singh, et al.. (2021). The Impact of Sea Level Rise Due to Global Warming on the Coastal Population Dynamics: A Modeling Study. Earth Systems and Environment. 5(4). 909–926. 14 indexed citations

12.

Tiwari, Pankaj Kumar, et al.. (2021). A DELAY NONAUTONOMOUS PREDATOR–PREY MODEL FOR THE EFFECTS OF FEAR, REFUGE AND HUNTING COOPERATION. Journal of Biological Systems. 29(4). 927–969. 25 indexed citations

13.

Verma, Maitri & A. K. Misra. (2018). Modeling the Effect of Prey Refuge on a Ratio-Dependent Predator–Prey System with the Allee Effect. Bulletin of Mathematical Biology. 80(3). 626–656. 46 indexed citations

14.

Misra, A. K. & Maitri Verma. (2017). Modeling the impact of mitigation options on abatement of methane emission from livestock. Nonlinear Analysis Modelling and Control. 22(2). 210–229. 8 indexed citations

15.

Verma, Maitri. (2016). MODELING THE EFFECT OF RARITY VALUE ON THE EXPLOITATION OF A WILDLIFE SPECIES SUBJECTED TO THE ALLEE EFFECT. Natural Resource Modeling. 29(3). 470–494. 8 indexed citations

16.

Verma, Maitri & A. K. Misra. (2016). Optimal control of anthropogenic carbon dioxide emissions through technological options: a modeling study. Computational and Applied Mathematics. 37(1). 605–626. 30 indexed citations

17.

Misra, A. K., Maitri Verma, & Ezio Venturino. (2015). Modeling the control of atmospheric carbon dioxide through reforestation: effect of time delay. Modeling Earth Systems and Environment. 1(3). 44 indexed citations

18.

Misra, A. K. & Maitri Verma. (2015). Impact of environmental education on mitigation of carbon dioxide emissions: a modelling study. International Journal of Global Warming. 7(4). 466–466. 39 indexed citations

19.

Misra, A. K., Maitri Verma, & Anupama Sharma. (2014). Capturing the interplay between malware and anti-malware in a computer network. Applied Mathematics and Computation. 229. 340–349. 19 indexed citations

20.

Misra, A. K. & Maitri Verma. (2013). A mathematical model to study the dynamics of carbon dioxide gas in the atmosphere. Applied Mathematics and Computation. 219(16). 8595–8609. 45 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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