Qamar Din

111 papers receiving 2.1k citations

Peers

Qamar Din
Comparison fields: 5 of 74
  • Modeling and Simulation 642
  • Public Health, Environmental and Occupational Health 1.6k
  • Statistical and Nonlinear Physics 451
  • Applied Mathematics 357
  • Geometry and Topology 288
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Yuming Chen China
Syed Abbas India
Long Zhang China
Tongqian Zhang China
Eduardo Liz Spain
Hai‐Feng Huo China
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Citations per year

Countries citing papers authored by Qamar Din

Since Specialization
Citations

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

Fields of papers citing papers by Qamar Din

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qamar Din, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qamar Din Line = papers co-authored together Qamar Din links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 201780
3 201762
4 201759
5 201857
6 202055
7 201354
8 201849
9
Stability analysis of a discrete ecological model
201446
10 201945
11 201243
12 201639
13 201835
14 201735
15 201635
16 201734
17 201933
18 201333
19 201932
20 202231

About Qamar Din

Qamar Din is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Computer Networks and Communications, Genetics and Statistical and Nonlinear Physics, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (84 papers), Nonlinear Dynamics and Pattern Formation (33 papers), Fractional Differential Equations Solutions (31 papers), Evolution and Genetic Dynamics (29 papers), Chaos control and synchronization (20 papers), Nonlinear Differential Equations Analysis (20 papers), Animal Ecology and Behavior Studies (11 papers) and Advanced Differential Equations and Dynamical Systems (11 papers). The work is most often cited by research in Modeling and Simulation (642 citations), Public Health, Environmental and Occupational Health (1.6k citations), Statistical and Nonlinear Physics (451 citations), Applied Mathematics (357 citations) and Geometry and Topology (288 citations). Qamar Din has collaborated with scholars based in Pakistan, Saudi Arabia and Egypt. Frequent co-authors include Umer Saeed, Abdul Qadeer Khan, E. M. Elsayed, A. A. Elsadany, Hammad Khalil, Tzanko Donchev, Muhammad Asad Iqbal, Khuram Ali Khan, Ghaus ur Rahman and Asifa Tassaddiq. Their work appears in journals such as Advances in Difference Equations, Journal of Vibration and Control, Qualitative Theory of Dynamical Systems, match Communications in Mathematical and in Computer Chemistry and Mathematical Methods in the Applied Sciences.

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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