Bahar Acay

552 citations
20 papers · 483 · h-index 13

Impact in

    • Fractional Differential Equations Solutions
    • COVID-19 epidemiological studies
    • Differential Equations and Numerical Methods
    • Iterative Methods for Nonlinear Equations

Papers in

Bahar Acay

19 papers receiving 471 citations

Peers

Bahar Acay
Comparison fields: 5 of 64
  • Modeling and Simulation 390
  • Numerical Analysis 106
  • Applied Mathematics 140
  • Statistical and Nonlinear Physics 121
  • Public Health, Environmental and Occupational Health 149
Replace Sümeyra Uçar with:
Sümeyra Uçar Türkiye
Sanjay Bhatter India
Haseena Gulzar Pakistan
Samia Bushnaq Jordan
Manal Alqhtani Saudi Arabia
Zain Ul Abadin Zafar Pakistan
Mustafa Ali Dokuyucu Türkiye
Berat Karaağaç Türkiye
K. Logeswari Saudi Arabia
Bahar Acay relative to Sümeyra Uçar Türkiye Sümeyra Uçar's profile →
Citations per field
00.5×1.5×1.9×
Sümeyra Uçar · 1×
Citations per year

Countries citing papers authored by Bahar Acay

Since Specialization
Citations

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

Fields of papers citing papers by Bahar Acay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Bahar Acay, 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 Bahar Acay Line = papers co-authored together Bahar Acay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202079
2 201971
3 201947
4 201940
5 202133
6 202129
7 201925
8 201924
9 202023
10 202023
11 202122
12 202020
13 201914
14 202110
15 20219
16 20215
17 20215
18 20242
19 20231
20 20251

About Bahar Acay

Bahar Acay is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Applied Mathematics, having authored 20 papers that have together received 483 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Iterative Methods for Nonlinear Equations (5 papers), Nonlinear Differential Equations Analysis (5 papers), Nonlinear Waves and Solitons (3 papers), COVID-19 epidemiological studies (2 papers), Advanced Control Systems Design (2 papers) and Quantum chaos and dynamical systems (2 papers). The work is most often cited by research in Modeling and Simulation (390 citations), Numerical Analysis (106 citations), Applied Mathematics (140 citations), Statistical and Nonlinear Physics (121 citations) and Public Health, Environmental and Occupational Health (149 citations). Bahar Acay has collaborated with scholars based in Türkiye, Cyprus and Saudi Arabia. Frequent co-authors include Erdal Baş, Abdullahi Yusuf, Thabet Abdeljawad, Ramazan Özarslan, Dumitru Bǎleanu, Umar Tasiu Mustapha, Amir Khan, Serge Y. Doka, Alphonse Houwe and Hailay Weldegiorgis Berhe. Their work appears in journals such as Chaos Solitons & Fractals, Advances in Difference Equations, Boletín de la Sociedad Matemática Mexicana, Mathematical Methods in the Applied Sciences and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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