M. Manivel

799 total citations · 1 hit paper
20 papers, 603 citations indexed

About

M. Manivel is a scholar working on Environmental Engineering, Virology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, M. Manivel has authored 20 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Virology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in M. Manivel's work include Groundwater and Watershed Analysis (6 papers), Poxvirus research and outbreaks (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). M. Manivel is often cited by papers focused on Groundwater and Watershed Analysis (6 papers), Poxvirus research and outbreaks (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). M. Manivel collaborates with scholars based in India, Tanzania and South Africa. M. Manivel's co-authors include J. Krishnamurthy, V. Jayaraman, Shyamsunder Kumawat, M. V. Prasanna, S. Arunachalam, C. Thivya, Sunıl Dutt Purohıt, S. Chidambaram, D. Yuvaraj and Nagavinothini Ravichandran and has published in prestigious journals such as International Journal of Remote Sensing, International Journal of Applied Earth Observation and Geoinformation and Physica Scripta.

In The Last Decade

M. Manivel

17 papers receiving 533 citations

Hit Papers

Numerical simulation for the co-infection of Monkeypox an... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Manivel India 10 460 319 292 115 50 20 603
A. Jeyaram India 9 309 0.7× 327 1.0× 266 0.9× 37 0.3× 18 0.4× 23 597
A. T. Jeyaseelan India 12 127 0.3× 201 0.6× 45 0.2× 22 0.2× 72 1.4× 23 371
David Kuria Kenya 12 183 0.4× 235 0.7× 178 0.6× 11 0.1× 15 0.3× 42 607
Joseph Nigro United States 12 108 0.2× 160 0.5× 94 0.3× 8 0.1× 18 0.4× 20 484
Farhan Mustafa China 13 128 0.3× 418 1.3× 50 0.2× 20 0.2× 24 0.5× 27 636
Maqsood Aslam India 8 117 0.3× 155 0.5× 33 0.1× 35 0.3× 12 0.2× 21 312
Syed Ali Asad Naqvi Pakistan 11 120 0.3× 106 0.3× 95 0.3× 6 0.1× 22 0.4× 22 292
Abhishek Abhishek India 14 73 0.2× 263 0.8× 167 0.6× 21 0.2× 8 0.2× 40 463
Samuel Ato Andam‐Akorful Ghana 14 73 0.2× 266 0.8× 130 0.4× 17 0.1× 14 0.3× 31 520
Silvan Ragettli Switzerland 18 147 0.3× 433 1.4× 539 1.8× 19 0.2× 8 0.2× 32 1.5k

Countries citing papers authored by M. Manivel

Since Specialization
Citations

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

Fields of papers citing papers by M. Manivel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Manivel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Manivel. A scholar is included among the top collaborators of M. Manivel 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 M. Manivel. M. Manivel 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.
Manivel, M., et al.. (2025). Dengue transmission model in an age-structured population using delay differential equations. Discover Public Health. 22(1).
2.
Manivel, M., et al.. (2025). Numerical simulation for the co-infection of Monkeypox and HIV model using fractal-fractional operator. Modeling Earth Systems and Environment. 11(3). 12 indexed citations breakdown →
3.
Manivel, M., et al.. (2025). A comprehensive study of monkeypox disease through fractional mathematical modeling. DergiPark (Istanbul University). 5(1). 65–96. 4 indexed citations
4.
Manivel, M., et al.. (2025). Modeling of Hepatitis B Virus Transmission With Vaccination, Treatment, and Memory Effects. Advanced Theory and Simulations. 9(1).
6.
Manivel, M., et al.. (2025). Mathematical modeling of the impact of insecticides on the transmission dynamics of maize streak disease. Modeling Earth Systems and Environment. 11(4). 1 indexed citations
7.
Manivel, M., et al.. (2024). A fractional mathematical model for vaccinated humans with the impairment of Monkeypox transmission. The European Physical Journal Special Topics. 234(8). 1891–1911. 15 indexed citations
8.
Manivel, M., et al.. (2024). Quantitative modeling of monkeypox viral transmission using Caputo fractional variational iteration method. Partial Differential Equations in Applied Mathematics. 13. 101026–101026. 5 indexed citations
9.
Manivel, M., et al.. (2024). A Mathematical Model of the Dynamics of the Transmission of Monkeypox Disease Using Fractional Differential Equations. Advanced Theory and Simulations. 7(9). 14 indexed citations
10.
Manivel, M., et al.. (2024). Mathematical Modeling of the Co‐Infection Dynamics of Dengue and Malaria Using Delay Differential Equations. Advanced Theory and Simulations. 8(2). 4 indexed citations
11.
Manivel, M., et al.. (2023). Numerical study of a new time-fractional Mpox model using Caputo fractional derivatives. Physica Scripta. 99(2). 25226–25226. 20 indexed citations
12.
Arunachalam, S., et al.. (2011). A study on the Land use pattern change along the coastal region of Nagapattinam, Tamil Nadu. International journal of Geomatics and Geosciences. 1(4). 700–720. 19 indexed citations
13.
Yuvaraj, D., et al.. (2010). Land Use and Land Cover Mapping – Madurai District, Tamilnadu, India Using Remote Sensing and GIS Techniques. International Journal of Civil and Structural Engineering. 1(1). 91–100. 9 indexed citations
14.
Manivel, M., et al.. (2010). Remote Sensing and GIS Approach for the Water Pollution and Management In Tiruchirappli Taluk, Tamil Nadu, India. International Journal on Environmental Sciences. 1(1). 66–70. 12 indexed citations
15.
Yuvaraj, D., et al.. (2010). Analysis of drinking water problem in Coimbatore City Corporation, Tamilnadu, India using Remote Sensing and GIS tools. International Journal on Environmental Sciences. 1(1). 71–76. 3 indexed citations
16.
Manivel, M., et al.. (2010). Integrated analysis of geophysical data of Ponnaiyar river basin using Arcview GIS software.. International journal of Geomatics and Geosciences. 1(3). 456–465. 2 indexed citations
17.
Manivel, M., et al.. (2010). Remote sensing and GIS based forest cover change detection study in Kalrayan hills, Tamil Nadu.. Journal of Environmental Biology. 31. 737–747. 12 indexed citations
18.
Manivel, M., et al.. (2004). Groundwater Quality in the Hard Rock Area of the Gadilam River Basin, Tamil Nadu. Journal of the Geological Society of India. 63(6). 625–635. 19 indexed citations
19.
Krishnamurthy, J., et al.. (2000). Groundwater resources development in hard rock terrain - an approach using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation. 2(3-4). 204–215. 134 indexed citations
20.
Krishnamurthy, J., et al.. (1996). An approach to demarcate ground water potential zones through remote sensing and a geographical information system. International Journal of Remote Sensing. 17(10). 1867–1884. 318 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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