Uğur Özveren

766 total citations
30 papers, 618 citations indexed

About

Uğur Özveren is a scholar working on Biomedical Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Uğur Özveren has authored 30 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 9 papers in Mechanical Engineering and 9 papers in Materials Chemistry. Recurrent topics in Uğur Özveren's work include Thermochemical Biomass Conversion Processes (24 papers), Thermal and Kinetic Analysis (8 papers) and Iron and Steelmaking Processes (6 papers). Uğur Özveren is often cited by papers focused on Thermochemical Biomass Conversion Processes (24 papers), Thermal and Kinetic Analysis (8 papers) and Iron and Steelmaking Processes (6 papers). Uğur Özveren collaborates with scholars based in Türkiye. Uğur Özveren's co-authors include Furkan Kartal and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Uğur Özveren

27 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uğur Özveren Türkiye 17 437 186 121 64 62 30 618
Muhammad Nouman Aslam Khan Pakistan 11 381 0.9× 200 1.1× 83 0.7× 99 1.5× 50 0.8× 24 691
Furkan Kartal Türkiye 15 307 0.7× 143 0.8× 77 0.6× 43 0.7× 51 0.8× 21 458
Shanjian Liu China 17 424 1.0× 206 1.1× 170 1.4× 43 0.7× 71 1.1× 72 750
Alireza Shafizadeh Iran 18 543 1.2× 285 1.5× 124 1.0× 114 1.8× 68 1.1× 24 892
Natarianto Indrawan United States 14 444 1.0× 155 0.8× 58 0.5× 139 2.2× 62 1.0× 21 675
Cataldo De Blasio Finland 15 498 1.1× 266 1.4× 87 0.7× 33 0.5× 75 1.2× 50 819
Ayyadurai Saravanakumar India 16 541 1.2× 245 1.3× 119 1.0× 89 1.4× 52 0.8× 41 843
Diego Mauricio Yepes Maya Brazil 14 383 0.9× 130 0.7× 71 0.6× 72 1.1× 74 1.2× 33 566
Jeewan Vachan Tirkey India 16 444 1.0× 117 0.6× 88 0.7× 59 0.9× 52 0.8× 31 596

Countries citing papers authored by Uğur Özveren

Since Specialization
Citations

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

Fields of papers citing papers by Uğur Özveren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uğur Özveren

This figure shows the co-authorship network connecting the top 25 collaborators of Uğur Özveren. A scholar is included among the top collaborators of Uğur Özveren 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 Uğur Özveren. Uğur Özveren 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.
Kartal, Furkan, et al.. (2023). Prediction of thermal degradation of biopolymers in biomass under pyrolysis atmosphere by means of machine learning. Renewable Energy. 204. 774–787. 27 indexed citations
2.
Kartal, Furkan & Uğur Özveren. (2022). Prediction of activation energy for combustion and pyrolysis by means of machine learning. Thermal Science and Engineering Progress. 33. 101346–101346. 33 indexed citations
3.
Özveren, Uğur, et al.. (2022). Investigation of light crude oil removal using biocoal from torrefaction of biomass waste. Bioresource Technology Reports. 19. 101139–101139. 6 indexed citations
4.
Kartal, Furkan & Uğur Özveren. (2022). Energy and exergy analysis of entrained bed gasifier/GT/Kalina cycle model for CO2 co-gasification of waste tyre and biochar. Fuel. 331. 125943–125943. 28 indexed citations
5.
Kartal, Furkan & Uğur Özveren. (2022). Investigation of the chemical exergy of torrefied biomass from raw biomass by means of machine learning. Biomass and Bioenergy. 159. 106383–106383. 27 indexed citations
6.
Kartal, Furkan, et al.. (2022). Prediction of combustion reactivity for lignocellulosic fuels by means of machine learning. Journal of Thermal Analysis and Calorimetry. 147(17). 9793–9809. 12 indexed citations
7.
Özveren, Uğur, et al.. (2021). Synthesis of Polyaniline / Biochar composite material and modeling with nonlinear model for removal of copper (II) heavy metal ions. SHILAP Revista de lepidopterología. 8(1). 289–302. 7 indexed citations
8.
Kartal, Furkan, et al.. (2021). Artificial Intelligence Approach in Gasification Integrated Solid Oxide Fuel Cell Cycle. Fuel. 311. 122591–122591. 27 indexed citations
9.
Kartal, Furkan, et al.. (2021). Prediction of chemical exergy of syngas from downdraft gasifier by means of machine learning. Thermal Science and Engineering Progress. 26. 101031–101031. 31 indexed citations
10.
Kartal, Furkan & Uğur Özveren. (2021). Prediction of torrefied biomass properties from raw biomass. Renewable Energy. 182. 578–591. 38 indexed citations
11.
Kartal, Furkan, et al.. (2021). The investigation of co-combustion process for synergistic effects using thermogravimetric and kinetic analysis with combustion index. Thermal Science and Engineering Progress. 23. 100889–100889. 19 indexed citations
12.
Kartal, Furkan & Uğur Özveren. (2021). An improved machine learning approach to estimate hemicellulose, cellulose, and lignin in biomass. Carbohydrate Polymer Technologies and Applications. 2. 100148–100148. 19 indexed citations
13.
Kartal, Furkan, et al.. (2021). Çan Kömürü Gazlaştırılmasının Sürüklemeli Akış Gazlaştırıcıda Aspen PLUS® Kullanılarak İncelenmesi. Deu Muhendislik Fakultesi Fen ve Muhendislik. 23(67). 309–318.
14.
Özveren, Uğur, et al.. (2021). Investigation of Oak Wood Biochar Gasification in Downdraft Gasifier Using Aspen Plus Simulation. Marmara University Open Access System. 1(1). 15–23. 4 indexed citations
15.
Özveren, Uğur, et al.. (2021). Investigation of steam gasification in thermogravimetric analysis by means of evolved gas analysis and machine learning. Energy. 239. 122232–122232. 17 indexed citations
16.
Özveren, Uğur, et al.. (2021). Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning. International Journal of Hydrogen Energy. 46(39). 20377–20396. 65 indexed citations
17.
Kartal, Furkan & Uğur Özveren. (2020). A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®. Energy. 209. 118457–118457. 69 indexed citations
18.
Kartal, Furkan, et al.. (2020). Prediction of NOx Emissions with A Novel ANN Model in Adana. SHILAP Revista de lepidopterología. 7(4). 265–270. 1 indexed citations
19.
Özveren, Uğur. (2016). An artificial intelligence approach to predict a lower heating value of municipal solid waste. Energy Sources Part A Recovery Utilization and Environmental Effects. 38(19). 2906–2913. 10 indexed citations
20.
Özveren, Uğur, et al.. (2013). Investigation of the slow pyrolysis kinetics of olive oil pomace using thermo-gravimetric analysis coupled with mass spectrometry. Biomass and Bioenergy. 58. 168–179. 52 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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