Erdal Baş

736 citations
37 papers · 599 · h-index 14

Impact in

Papers in

Erdal Baş

35 papers receiving 590 citations

Peers

Erdal Baş
Comparison fields: 5 of 55
  • Modeling and Simulation 491
  • Numerical Analysis 163
  • Applied Mathematics 244
  • Statistical and Nonlinear Physics 144
  • Mathematical Physics 84
Replace Afshin Babaei with:
Afshin Babaei Iran
M. Pilar Velasco Spain
Sushila Sushila India
Ramazan Özarslan Türkiye
Davood Rostamy Iran
Ved Prakash Dubey India
Tatiana Odzijewicz Poland
Sushila Rathore India
Deliang Qian China
Natália Martins Portugal
Erdal Baş relative to Afshin Babaei Iran Afshin Babaei's profile →
Citations per field
00.5×1.5×2.4×
Afshin Babaei · 1×
Citations per year

Countries citing papers authored by Erdal Baş

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Baş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Erdal Baş, 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 Erdal Baş Line = papers co-authored together Erdal Baş links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 201971
3 201947
4 201940
5 201839
6 201328
7 201925
8 201924
9 201921
10 202020
11 201319
12 201516
13 201914
14 201913
15 202013
16 202010
17 20139
18 20199
19 20188
20 20178

About Erdal Baş

Erdal Baş is a scholar working on Modeling and Simulation, Applied Mathematics, Mathematical Physics, Statistical and Nonlinear Physics and Numerical Analysis, having authored 37 papers that have together received 599 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (24 papers), Differential Equations and Boundary Problems (14 papers), Spectral Theory in Mathematical Physics (13 papers), Nonlinear Differential Equations Analysis (10 papers), Iterative Methods for Nonlinear Equations (9 papers), Nonlinear Waves and Solitons (6 papers), Quantum Mechanics and Non-Hermitian Physics (6 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Modeling and Simulation (491 citations), Numerical Analysis (163 citations), Applied Mathematics (244 citations), Statistical and Nonlinear Physics (144 citations) and Mathematical Physics (84 citations). Erdal Baş has collaborated with scholars based in Türkiye, Romania and Saudi Arabia. Frequent co-authors include Ramazan Özarslan, Bahar Acay, Thabet Abdeljawad, Dumitru Bǎleanu, Reşat Yılmazer and Bülent Kılıç. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Advances in Difference Equations, Chaos Solitons & Fractals, Mathematical Methods in the Applied Sciences and The Journal of Nonlinear Sciences and Applications.

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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