Görkem Sarıyer

531 total citations
36 papers, 322 citations indexed

About

Görkem Sarıyer is a scholar working on Emergency Medicine, Economics and Econometrics and Management Information Systems. According to data from OpenAlex, Görkem Sarıyer has authored 36 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Emergency Medicine, 10 papers in Economics and Econometrics and 5 papers in Management Information Systems. Recurrent topics in Görkem Sarıyer's work include Emergency and Acute Care Studies (10 papers), COVID-19 epidemiological studies (4 papers) and Trauma and Emergency Care Studies (4 papers). Görkem Sarıyer is often cited by papers focused on Emergency and Acute Care Studies (10 papers), COVID-19 epidemiological studies (4 papers) and Trauma and Emergency Care Studies (4 papers). Görkem Sarıyer collaborates with scholars based in Türkiye, India and United Kingdom. Görkem Sarıyer's co-authors include Sachin Kumar Mangla, Yiğit Kazançoğlu, Dilvin Taşkın, Sunil Luthra, Lei Xu, Soumyadeb Chowdhury, Manoj Dora, Fauzia Jabeen, Arif Karagöz and Vipul Jain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Technological Forecasting and Social Change.

In The Last Decade

Görkem Sarıyer

33 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Görkem Sarıyer Türkiye 12 80 76 45 35 35 36 322
Renata Konrad United States 11 59 0.7× 81 1.1× 34 0.8× 40 1.1× 20 0.6× 37 445
Matthew D. Dean United States 11 96 1.2× 45 0.6× 30 0.7× 43 1.2× 13 0.4× 19 428
Giuseppe Converso Italy 7 19 0.2× 29 0.4× 38 0.8× 42 1.2× 15 0.4× 20 251
Michelle Alvarado United States 9 50 0.6× 49 0.6× 16 0.4× 26 0.7× 12 0.3× 28 279
Michele Samorani United States 12 92 1.1× 102 1.3× 15 0.3× 56 1.6× 81 2.3× 29 397
Saeedeh Ketabi Iran 10 26 0.3× 64 0.8× 30 0.7× 31 0.9× 9 0.3× 41 320
Davood Golmohammadi United States 8 34 0.4× 47 0.6× 130 2.9× 87 2.5× 34 1.0× 11 360
G.G. Hegde United States 13 82 1.0× 40 0.5× 75 1.7× 67 1.9× 9 0.3× 33 425
John Toussaint United States 11 24 0.3× 92 1.2× 32 0.7× 81 2.3× 11 0.3× 16 327
Poching DeLaurentis United States 8 75 0.9× 88 1.2× 19 0.4× 20 0.6× 26 0.7× 22 351

Countries citing papers authored by Görkem Sarıyer

Since Specialization
Citations

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

Fields of papers citing papers by Görkem Sarıyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Görkem Sarıyer

This figure shows the co-authorship network connecting the top 25 collaborators of Görkem Sarıyer. A scholar is included among the top collaborators of Görkem Sarıyer 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 Görkem Sarıyer. Görkem Sarıyer 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.
Sarıyer, Görkem, et al.. (2025). LLM-based embeddings for clustering and predicting integrated reporting quality levels of companies. Discover Computing. 28(1). 2 indexed citations
2.
Kumar, Devesh, et al.. (2024). A hybrid Bayesian approach for assessment of industry 4.0 technologies towards achieving decarbonization in manufacturing industry. Computers & Industrial Engineering. 190. 110057–110057. 7 indexed citations
3.
Sarıyer, Görkem, et al.. (2024). Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies. Journal of Business Research. 181. 114742–114742. 15 indexed citations
4.
Taşkın, Dilvin, et al.. (2024). Do past ESG scores efficiently predict future ESG performance?. Research in International Business and Finance. 74. 102706–102706. 4 indexed citations
5.
Sarıyer, Görkem, et al.. (2024). Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development. Omega. 127. 103105–103105. 7 indexed citations
6.
Sarıyer, Görkem, et al.. (2023). Data-driven decision making for modelling covid-19 and its implications: A cross-country study. Technological Forecasting and Social Change. 197. 122886–122886. 6 indexed citations
7.
Sarıyer, Görkem, et al.. (2023). Factors Relating to Decision Delay in the Emergency Department: Effects of Diagnostic Tests and Consultations. Open Access Emergency Medicine. Volume 15. 119–131. 5 indexed citations
8.
Sarıyer, Görkem, et al.. (2022). The Power of Governments in Fight Against COVID-19: High-Performing Health Systems or Government Response Policies?. Journal of Homeland Security and Emergency Management. 20(1). 1–18. 1 indexed citations
9.
Sarıyer, Görkem, et al.. (2022). Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations. Annals of Operations Research. 328(1). 1073–1103. 9 indexed citations
10.
Sarıyer, Görkem, et al.. (2022). Mode of Arrival Aware Models for Forecasting Flow of Patient and Length of Stay in Emergency Departments. SHILAP Revista de lepidopterología. 21(1). 34–44.
11.
Sarıyer, Görkem, et al.. (2022). Predicting cost of defects for segmented products and customers using ensemble learning. Computers & Industrial Engineering. 171. 108502–108502. 15 indexed citations
12.
Sarıyer, Görkem, et al.. (2021). Data analytics for quality management in Industry 4.0 from a MSME perspective. Annals of Operations Research. 350(2). 365–393. 32 indexed citations
13.
Sarıyer, Görkem, et al.. (2021). Predicting waiting and treatment times in emergency departments using ordinal logistic regression models. The American Journal of Emergency Medicine. 46. 45–50. 26 indexed citations
14.
Taşkın, Dilvin & Görkem Sarıyer. (2020). Use of derivatives, financial stability and performance in Turkish banking sector. SHILAP Revista de lepidopterología. 4(2). 252–273. 11 indexed citations
15.
Sarıyer, Görkem, et al.. (2018). Using Markov Chains in Prediction of Stock Price Movements: A Study on Automotive Industry. 2 indexed citations
16.
Sarıyer, Görkem. (2018). Time Series Modelling for Forecasting Demand in the Emergency. Uluslararası mühendislik araştırma ve geliştirme dergisi. 66–77. 4 indexed citations
17.
Sarıyer, Görkem, et al.. (2017). Does ambulance utilization differ between urban and rural regions: a study of 112 services in a populated city, Izmir. Journal of Public Health. 25(4). 379–385. 10 indexed citations
18.
Sarıyer, Görkem, et al.. (2016). Child Maltreatment in Turkey: Comparison of Parent and Child Reports. Central European Journal of Public Health. 24(3). 217–222. 11 indexed citations
19.
Sarıyer, Görkem, et al.. (2016). An analysis of Emergency Medical Services demand: Time of day, day of the week, and location in the city. Turkish Journal of Emergency Medicine. 17(2). 42–47. 24 indexed citations
20.
Sarıyer, Görkem, et al.. (2015). A Review and Emphasis on Emergency Healthcare Systems of Turkey. Journal of medical research/˜The œjournal of medical research. 15(1). 2 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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