A. I. Sayma

2.1k total citations · 1 hit paper
105 papers, 1.6k citations indexed

About

A. I. Sayma is a scholar working on Mechanical Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, A. I. Sayma has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Mechanical Engineering, 56 papers in Aerospace Engineering and 44 papers in Computational Mechanics. Recurrent topics in A. I. Sayma's work include Turbomachinery Performance and Optimization (45 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (43 papers) and Refrigeration and Air Conditioning Technologies (25 papers). A. I. Sayma is often cited by papers focused on Turbomachinery Performance and Optimization (45 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (43 papers) and Refrigeration and Air Conditioning Technologies (25 papers). A. I. Sayma collaborates with scholars based in United Kingdom, Norway and Italy. A. I. Sayma's co-authors include M. Imregun, Martin T. White, Mehdi Vahdati, Giuseppe Bianchi, Lei Chai, S.A. Tassou, Christopher Freeman, Alina Żabnieńśka-Góra, Hussam Jouhara and Robert E. Bartels and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

A. I. Sayma

102 papers receiving 1.5k citations

Hit Papers

Review of supercritical CO 2 technologies and syst... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. I. Sayma United Kingdom 21 858 761 721 228 164 105 1.6k
Liming Song China 22 836 1.0× 811 1.1× 585 0.8× 239 1.0× 37 0.2× 108 1.4k
Fabian Kock Germany 6 811 0.9× 351 0.5× 535 0.7× 198 0.9× 271 1.7× 9 1.3k
Chunwei Gu China 24 1.8k 2.0× 552 0.7× 655 0.9× 215 0.9× 28 0.2× 115 2.4k
Muhammad Saeed United Arab Emirates 22 957 1.1× 242 0.3× 539 0.7× 440 1.9× 37 0.2× 52 1.3k
Abraham Engeda United States 18 735 0.9× 606 0.8× 408 0.6× 51 0.2× 89 0.5× 106 1.1k
Gequn Shu China 27 1.2k 1.4× 343 0.5× 369 0.5× 286 1.3× 305 1.9× 80 2.1k
Jie Wen China 20 504 0.6× 239 0.3× 524 0.7× 292 1.3× 55 0.3× 57 1.0k
Yu Xu China 20 820 1.0× 319 0.4× 376 0.5× 287 1.3× 83 0.5× 56 1.2k
Teemu Turunen-Saaresti Finland 19 1.0k 1.2× 414 0.5× 395 0.5× 170 0.7× 15 0.1× 95 1.4k
Jin Taek Chung South Korea 23 841 1.0× 559 0.7× 669 0.9× 194 0.9× 27 0.2× 85 1.4k

Countries citing papers authored by A. I. Sayma

Since Specialization
Citations

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

Fields of papers citing papers by A. I. Sayma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. I. Sayma. 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 A. I. Sayma. The network helps show where A. I. Sayma may publish in the future.

Co-authorship network of co-authors of A. I. Sayma

This figure shows the co-authorship network connecting the top 25 collaborators of A. I. Sayma. A scholar is included among the top collaborators of A. I. Sayma 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 A. I. Sayma. A. I. Sayma 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.
Werner, Andreas, et al.. (2024). Dry-Cooled Rankine Cycle Operated With Binary Carbon Dioxide Based Working Fluids. SHILAP Revista de lepidopterología. 1. 1 indexed citations
2.
White, Martin T., et al.. (2024). Design of a 130 MW Axial Turbine Operating with a Supercritical Carbon Dioxide Mixture for the SCARABEUS Project. International Journal of Turbomachinery Propulsion and Power. 9(1). 5–5. 5 indexed citations
3.
Sayma, A. I., et al.. (2024). Optimisation of a converging-diverging nozzle for the wet-to-dry expansion of the siloxane MM. Applied Thermal Engineering. 260. 124870–124870.
4.
White, Martin T., et al.. (2023). Integrated Aerodynamic and Mechanical Design of a Large-Scale Axial Turbine Operating With A Supercritical Carbon Dioxide Mixture. Journal of Engineering for Gas Turbines and Power. 146(2). 1 indexed citations
5.
White, Martin T., et al.. (2023). Off-design performance assessment of an axial turbine for a 100 MWe concentrated solar power plant operating with CO2 mixtures. Applied Thermal Engineering. 238. 122001–122001. 6 indexed citations
6.
Assadi, Mohsen, et al.. (2023). Power Transmission and Control in Microturbines’ Electronics: A Review. Energies. 16(9). 3901–3901. 2 indexed citations
7.
White, Martin T., et al.. (2022). A comparison of axial turbine loss models for air, sCO 2 and ORC turbines across a range of scales. International Journal of Thermofluids. 15. 100156–100156. 22 indexed citations
8.
White, Martin T., et al.. (2021). Sensitivity of transcritical cycle and turbine design to dopant fraction in CO2-based working fluids. Applied Thermal Engineering. 190. 116796–116796. 17 indexed citations
9.
Sayma, A. I., et al.. (2021). Heat Transfer Effect on Micro Gas Turbine Performance for Solar Power Applications. Energies. 14(20). 6745–6745. 4 indexed citations
10.
White, Martin T., et al.. (2019). A comparison between cascaded and single-stage ORC systems taken from the component perspective. City Research Online (City University London). 1 indexed citations
11.
White, Martin T., et al.. (2018). Using a cubic equation of state to identify optimal working fluids for an ORC operating with two-phase expansion using a twin-screw expander. Purdue e-Pubs (Purdue University System). 6 indexed citations
13.
Sayma, A. I., et al.. (2017). Full annulus numerical study of hot streaks propagation in a hydrogen-rich syngas-fired heavy duty axial turbine. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 231(5). 344–356.
14.
White, Martin T. & A. I. Sayma. (2015). The impact of component performance on the overall cycle performance of small-scale low temperature organic Rankine cycles. IOP Conference Series Materials Science and Engineering. 90. 12063–12063. 2 indexed citations
15.
Mare, Luca di, et al.. (2010). A Numerical Study of Labyrinth Seal Flutter. Journal of Tribology. 132(2). 25 indexed citations
16.
Chassaing, Jean-Camille, A. I. Sayma, & M. Imregun. (2007). A combined time and frequency domain approach for acoustic resonance prediction. Journal of Sound and Vibration. 311(3-5). 1100–1113. 4 indexed citations
17.
Mare, Luca di, et al.. (2006). Fan Forced Response Due to Ground Vortex Ingestion. 1123–1132. 11 indexed citations
18.
Sayma, A. I., et al.. (2005). Aeromechanical Design of Damped High Pressure Turbine Blades Subject to Low Engine Order Forcing. Defense Technical Information Center (DTIC). 3 indexed citations
19.
Vahdati, Mehdi, A. I. Sayma, Christopher Freeman, & M. Imregun. (2004). On the Use of Atmospheric Boundary Conditions for Axial-Flow Compressor Stall Simulations. Journal of Turbomachinery. 127(2). 349–351. 84 indexed citations
20.
Vahdati, Mehdi, A. I. Sayma, & M. Imregun. (1998). Prediction of high and low engine order forced responses for an LP turbine blade. 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 1 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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