Serkan Akkoyun

499 total citations
64 papers, 362 citations indexed

About

Serkan Akkoyun is a scholar working on Nuclear and High Energy Physics, Radiation and Aerospace Engineering. According to data from OpenAlex, Serkan Akkoyun has authored 64 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nuclear and High Energy Physics, 30 papers in Radiation and 20 papers in Aerospace Engineering. Recurrent topics in Serkan Akkoyun's work include Nuclear physics research studies (32 papers), Nuclear Physics and Applications (27 papers) and Nuclear reactor physics and engineering (16 papers). Serkan Akkoyun is often cited by papers focused on Nuclear physics research studies (32 papers), Nuclear Physics and Applications (27 papers) and Nuclear reactor physics and engineering (16 papers). Serkan Akkoyun collaborates with scholars based in Türkiye, Algeria and Ethiopia. Serkan Akkoyun's co-authors include Tuncay Bayram, S. O. Kara, Cafer Mert Yeşilkanat, N. Amrani, I. Boztosun, Leonardo A. Pachón, S. Doğan, Kamel Damak, Ramzi Maâlej and S. Duman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Knowledge-Based Systems.

In The Last Decade

Serkan Akkoyun

56 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serkan Akkoyun Türkiye 11 233 193 145 52 39 64 362
G. Bonheure Italy 9 156 0.7× 189 1.0× 95 0.7× 54 1.0× 43 1.1× 32 272
E. B. Klinkby Denmark 11 117 0.5× 298 1.5× 170 1.2× 71 1.4× 110 2.8× 64 457
D. Marocco Italy 15 311 1.3× 341 1.8× 174 1.2× 122 2.3× 72 1.8× 66 526
M.G. Burke United States 10 159 0.7× 126 0.7× 77 0.5× 52 1.0× 30 0.8× 24 280
J. Collot France 11 168 0.7× 161 0.8× 68 0.5× 24 0.5× 39 1.0× 37 347
S.C. Frankle United States 8 141 0.6× 345 1.8× 290 2.0× 133 2.6× 48 1.2× 18 484
E. P. Shabalin Russia 11 64 0.3× 220 1.1× 133 0.9× 73 1.4× 69 1.8× 50 325
Mitchell L. Woodring United States 12 101 0.4× 450 2.3× 88 0.6× 59 1.1× 115 2.9× 28 533
A. Fernandes Portugal 11 294 1.3× 246 1.3× 83 0.6× 45 0.9× 77 2.0× 47 430
A. Jardin France 10 199 0.9× 138 0.7× 45 0.3× 91 1.8× 23 0.6× 36 272

Countries citing papers authored by Serkan Akkoyun

Since Specialization
Citations

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

Fields of papers citing papers by Serkan Akkoyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serkan Akkoyun

This figure shows the co-authorship network connecting the top 25 collaborators of Serkan Akkoyun. A scholar is included among the top collaborators of Serkan Akkoyun 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 Serkan Akkoyun. Serkan Akkoyun 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.
Amrani, N. & Serkan Akkoyun. (2025). Determination of (p, n) reaction cross-section for various nuclei at 7.5 MeV by using machine learning models. Applied Radiation and Isotopes. 225. 112059–112059. 2 indexed citations
2.
Yeşilkanat, Cafer Mert & Serkan Akkoyun. (2025). SMOTE-based data augmentation for accurate classification of neutron halo nuclei: A machine learning approach in nuclear physics. Knowledge-Based Systems. 318. 113580–113580. 2 indexed citations
3.
Akkoyun, Serkan, Cafer Mert Yeşilkanat, & Tuncay Bayram. (2024). Machine learning predictions for cross-sections of 43,44Sc radioisotope production by alpha-induced reactions on Ca target. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 549. 165293–165293. 6 indexed citations
4.
Amrani, N., Cafer Mert Yeşilkanat, & Serkan Akkoyun. (2024). Neutron-Alpha Reaction Cross Section Determination by Machine Learning Approaches. Journal of Fusion Energy. 43(2). 3 indexed citations
6.
Yeşilkanat, Cafer Mert & Serkan Akkoyun. (2023). Estimation of fission barrier heights for even–even superheavy nuclei using machine learning approaches. Journal of Physics G Nuclear and Particle Physics. 50(5). 55101–55101. 12 indexed citations
7.
Akkoyun, Serkan, Cafer Mert Yeşilkanat, & Tuncay Bayram. (2023). Generation of fusion and fusion-evaporation reaction cross-sections by two-step machine learning methods. Computer Physics Communications. 297. 109055–109055. 4 indexed citations
8.
Akkoyun, Serkan, et al.. (2023). Performance of machine learning algorithms on neutron activations for Germanium isotopes. Radiation Physics and Chemistry. 208. 110860–110860. 6 indexed citations
9.
Bayram, Tuncay, Cafer Mert Yeşilkanat, & Serkan Akkoyun. (2023). Applications of different machine learning methods on nuclear charge radius estimations. Physica Scripta. 98(12). 125310–125310. 8 indexed citations
10.
Bayram, Tuncay, et al.. (2022). Production cross-section and reaction yield of 82Sr for 82Sr/82Rb generator. SHILAP Revista de lepidopterología. 43(4). 716–720. 1 indexed citations
11.
Şahın, Mustafa Ergin, et al.. (2021). Estimation of the wind speed in Sivas province by using the artificial neural networks. Wind and Structures. 32(2). 161–167. 1 indexed citations
12.
Akkoyun, Serkan & Tuncay Bayram. (2021). Production Cross-Section of 51Cr Radioisotope Using Artificial Neural Networks. DergiPark (Istanbul University). 2(1). 133–138. 4 indexed citations
13.
Akkoyun, Serkan. (2020). Nuclear Shell Model Calculations for A=49 Isobars. DergiPark (Istanbul University). 1(2). 3–8. 1 indexed citations
14.
Bayram, Tuncay, et al.. (2020). Detection Methods of Radioactivity used in Turkish Environmental Studies.
15.
Akkoyun, Serkan, et al.. (2020). Neuro-fuzzy modeling of deformation parameters for fusion-barriers. Nuclear Engineering and Technology. 53(5). 1612–1618. 5 indexed citations
16.
Bahar, Mustafa Kemal, et al.. (2020). Optical analysis of quantum dot with velocity‐dependent potential. International Journal of Quantum Chemistry. 121(5). 3 indexed citations
18.
Akkoyun, Serkan, et al.. (2017). Giant Dipole Resonence Energy Predictions For 116,117,118,119,120,124Sn and 233,234,235,236,238U Isotopes. Afyon Kocatepe University Journal of Sciences and Engineering. 17(2). 426–431. 4 indexed citations
19.
Akkoyun, Serkan, et al.. (2015). Estimation of the femur length from its proximal measurements in Anatolian Caucasians by artificial neural networks. Australian Journal of Forensic Sciences. 48(3). 279–286. 2 indexed citations
20.
Bayram, Tuncay, Serkan Akkoyun, & S. O. Kara. (2013). A study on ground-state energies of nuclei by using neural networks. Annals of Nuclear Energy. 63. 172–175. 60 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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