Kinda Abuasbeh

404 citations
46 papers · 326 · h-index 11

Impact in

Papers in

Kinda Abuasbeh

46 papers receiving 311 citations

Peers

Kinda Abuasbeh
Comparison fields: 5 of 54
  • Modeling and Simulation 239
  • Applied Mathematics 180
  • Numerical Analysis 93
  • Statistical and Nonlinear Physics 46
  • Statistics and Probability 24
Replace Jagan Mohan Jonnalagadda with:
Jagan Mohan Jonnalagadda India
Jyotindra C. Prajapati India
Seddigheh Banihashemi Iran
B. Bonilla Spain
Sandra Pinelas Portugal
Yurii F. Luchko Germany
Ekin Uğurlu Türkiye
Udita N. Katugampola United States
Xiaojing Yang China
Kinda Abuasbeh relative to Jagan Mohan Jonnalagadda India Jagan Mohan Jonnalagadda's profile →
Citations per field
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Jagan Mohan Jonnalagadda · 1×
Citations per year

Countries citing papers authored by Kinda Abuasbeh

Since Specialization
Citations

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

Fields of papers citing papers by Kinda Abuasbeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kinda Abuasbeh, 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 Kinda Abuasbeh Line = papers co-authored together Kinda Abuasbeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

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About Kinda Abuasbeh

Kinda Abuasbeh is a scholar working on Modeling and Simulation, Applied Mathematics, Numerical Analysis, Control and Systems Engineering and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 326 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (40 papers), Nonlinear Differential Equations Analysis (34 papers), Differential Equations and Numerical Methods (8 papers), Differential Equations and Boundary Problems (7 papers), Numerical methods for differential equations (7 papers), Stability and Controllability of Differential Equations (5 papers), Iterative Methods for Nonlinear Equations (4 papers) and Fuzzy Systems and Optimization (4 papers). The work is most often cited by research in Modeling and Simulation (239 citations), Applied Mathematics (180 citations), Numerical Analysis (93 citations), Statistical and Nonlinear Physics (46 citations) and Statistics and Probability (24 citations). Kinda Abuasbeh has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Muath Awadalla, Ramsha Shafqat, Azmat Ullah Khan Niazi, Muthaiah Subramanian, Nazım I. Mahmudov, Melike Kaplan, Arzu Akbulut, Amanullah Soomro, Shahid Ahmad Wani and Sania Qureshi. Their work appears in journals such as Symmetry, Fractal and Fractional, AIP Advances, Computer Modeling in Engineering & Sciences and Scientific Reports.

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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