Cem Tırınk

463 total citations
39 papers, 334 citations indexed

About

Cem Tırınk is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Cem Tırınk has authored 39 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 20 papers in Animal Science and Zoology and 8 papers in Agronomy and Crop Science. Recurrent topics in Cem Tırınk's work include Genetic and phenotypic traits in livestock (25 papers), Effects of Environmental Stressors on Livestock (14 papers) and Meat and Animal Product Quality (6 papers). Cem Tırınk is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), Effects of Environmental Stressors on Livestock (14 papers) and Meat and Animal Product Quality (6 papers). Cem Tırınk collaborates with scholars based in Türkiye, Mexico and Pakistan. Cem Tırınk's co-authors include Hasan Önder, Abdul Waheed, Ecevit Eyduran, Mohammad Masood Tariq, Muhammad Ali, Asim Faraz, Ferhat Abbas, Dariusz Piwczyński, Uğur Şen and Wilhelm Grzesiak and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Meat Science.

In The Last Decade

Cem Tırınk

33 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cem Tırınk Türkiye 10 188 168 61 43 41 39 334
Mohammad Masood Tariq Pakistan 13 234 1.2× 197 1.2× 100 1.6× 37 0.9× 59 1.4× 43 502
Leonardo Siqueira Glória Brazil 11 197 1.0× 133 0.8× 122 2.0× 48 1.1× 103 2.5× 57 380
Tapas Kumar Dutta India 12 60 0.3× 121 0.7× 179 2.9× 30 0.7× 35 0.9× 73 381
Marco Acciaro Italy 9 107 0.6× 149 0.9× 86 1.4× 128 3.0× 36 0.9× 22 308
Virgínia Santos Portugal 12 215 1.1× 345 2.1× 160 2.6× 42 1.0× 30 0.7× 24 514
J. Velazco Uruguay 13 99 0.5× 205 1.2× 213 3.5× 34 0.8× 18 0.4× 30 405
Liliana Fadul-Pacheco United States 10 94 0.5× 136 0.8× 149 2.4× 91 2.1× 50 1.2× 19 380
J. Rivest Canada 11 126 0.7× 465 2.8× 119 2.0× 236 5.5× 26 0.6× 16 657
S.J.J. Alferink Netherlands 10 84 0.4× 120 0.7× 249 4.1× 84 2.0× 19 0.5× 12 360
Dana Olijhoek Denmark 10 179 1.0× 129 0.8× 393 6.4× 22 0.5× 36 0.9× 16 532

Countries citing papers authored by Cem Tırınk

Since Specialization
Citations

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

Fields of papers citing papers by Cem Tırınk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem Tırınk

This figure shows the co-authorship network connecting the top 25 collaborators of Cem Tırınk. A scholar is included among the top collaborators of Cem Tırınk 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 Cem Tırınk. Cem Tırınk 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.
Putra, Widya Pintaka Bayu, et al.. (2025). Comparative Analysis of Growth Function Models for Merino Crossbred Sheep in West Java, Indonesia. Journal of the Hellenic Veterinary Medical Society. 75(4). 8427–8434.
2.
Tırınk, Cem, M. A. Segura Delgado, Armando Gómez-Vázquez, et al.. (2025). Classification of FAMACHA© Scores with Support Vector Machine Algorithm from Body Condition Score and Hematological Parameters in Pelibuey Sheep. Animals. 15(5). 737–737. 1 indexed citations
3.
Tırınk, Cem, et al.. (2025). Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms. Veterinary Medicine and Science. 11(4). e70422–e70422. 1 indexed citations
4.
Önder, Hasan, et al.. (2025). Predicting Live Weight for Female Rabbits of Meat Crosses From Body Measurements Using LightGBM, XGBoost and Support Vector Machine Algorithms. Veterinary Medicine and Science. 11(1). e70149–e70149. 2 indexed citations
5.
Camacho-Pérez, E., Cem Tırınk, Ricardo García‐Herrera, et al.. (2025). Predicting dry matter intake in Pelibuey sheep using machine learning methods. Heliyon. 11(2). e41913–e41913.
6.
7.
Tırınk, Cem, et al.. (2024). Predicting the body weight of crossbred Holstein × Zebu dairy cows using multivariate adaptive regression splines algorithm. Journal of Dairy Research. 91(3). 267–272. 3 indexed citations
8.
Önder, Hasan, et al.. (2023). Multi-Trait Single-Step Genomic Prediction for Milk Yield and Milk Components for Polish Holstein Population. Animals. 13(19). 3070–3070. 2 indexed citations
9.
Tırınk, Cem, et al.. (2023). Prediction of carcass tissues composition using the neck and shoulder traits in hair lambs with multiresponse multivariate adaptive regression splines. Small Ruminant Research. 227. 107090–107090. 1 indexed citations
10.
Faraz, Asim, Cem Tırınk, Hasan Önder, et al.. (2023). Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed. Tropical Animal Health and Production. 55(4). 276–276. 17 indexed citations
11.
12.
Tırınk, Cem, et al.. (2023). Predicting body weight through biometric measurements in growing hair sheep using data mining and machine learning algorithms. Tropical Animal Health and Production. 55(5). 307–307. 5 indexed citations
13.
Iqbal, Farhat, et al.. (2023). Using the artificial bee colony technique to optimize machine learning algorithms in estimating the mature weight of camels. Tropical Animal Health and Production. 55(2). 86–86. 8 indexed citations
14.
15.
Iqbal, Farhat, et al.. (2021). Modeling and predicting the growth of indigenous Harnai sheep in Pakistan: non-linear functions and MARS algorithm. Tropical Animal Health and Production. 53(2). 248–248. 9 indexed citations
16.
Faraz, Asim, et al.. (2021). Prediction of live body weight based on body measurements in Thalli sheep under tropical conditions of Pakistan using CART and MARS. Tropical Animal Health and Production. 53(2). 301–301. 29 indexed citations
17.
Tırınk, Cem. (2020). Estimating of Birth Weight Using Placental Characteristics in The Presence of Multicollinearity. Black Sea Journal of Engineering and Science. 3(4). 138–145. 4 indexed citations
18.
Tırınk, Cem, et al.. (2019). Evaluation of Dairy Cattle Milk Production in Black Sea Region by Cluster Analysis. Black Sea Journal of Engineering and Science. 2(2). 39–41. 1 indexed citations
19.
Tırınk, Cem, et al.. (2018). Evaluation of Enterprises Raising Water Buffalo in Samsun Province of Turkey. International Journal of Scientific and Technological Research. 4(8). 1–5. 2 indexed citations
20.
Ali, Muhammad, Ecevit Eyduran, Mohammad Masood Tariq, et al.. (2015). Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai sheep.. Pakistan Journal of Zoology. 47(6). 1579–1585. 62 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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2026