Arthur Fernandes

1.1k total citations
41 papers, 763 citations indexed

About

Arthur Fernandes is a scholar working on Animal Science and Zoology, Genetics and Aquatic Science. According to data from OpenAlex, Arthur Fernandes has authored 41 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Animal Science and Zoology, 15 papers in Genetics and 12 papers in Aquatic Science. Recurrent topics in Arthur Fernandes's work include Genetic and phenotypic traits in livestock (14 papers), Aquaculture Nutrition and Growth (12 papers) and Animal Behavior and Welfare Studies (10 papers). Arthur Fernandes is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Aquaculture Nutrition and Growth (12 papers) and Animal Behavior and Welfare Studies (10 papers). Arthur Fernandes collaborates with scholars based in United States, Brazil and South Korea. Arthur Fernandes's co-authors include Guilherme J. M. Rosa, J.R.R. Dórea, Eduardo Maldonado Turra, Érika Ramos de Alvarenga, Gabriel Francisco de Oliveira Alves, Edgar de Alencar Teixeira, Tiago Luciano Passafaro, Robert L. Fitzgerald, William O. Herring and B.D. Valente and has published in prestigious journals such as Aquaculture, Journal of Animal Science and Poultry Science.

In The Last Decade

Arthur Fernandes

39 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Fernandes United States 13 250 217 193 155 123 41 763
S. Balasch Spain 18 67 0.3× 355 1.6× 208 1.1× 103 0.7× 9 0.1× 35 943
Nusrat Jahan Bangladesh 12 89 0.4× 111 0.5× 80 0.4× 107 0.7× 5 0.0× 38 651
Érika Ramos de Alvarenga Brazil 16 454 1.8× 30 0.1× 6 0.0× 172 1.1× 218 1.8× 39 792
Fernando Brito Lopes Brazil 18 31 0.1× 313 1.4× 82 0.4× 672 4.3× 40 0.3× 91 1.0k
Tiago Luciano Passafaro United States 9 26 0.1× 88 0.4× 59 0.3× 115 0.7× 35 0.3× 25 308
B.D. Valente United States 20 69 0.3× 341 1.6× 171 0.9× 745 4.8× 46 0.4× 56 1.0k
D. F. Waldron United States 17 26 0.1× 353 1.6× 83 0.4× 407 2.6× 11 0.1× 39 958
Ricardo Vieira Ventura Brazil 21 39 0.2× 302 1.4× 104 0.5× 1.2k 7.5× 16 0.1× 77 1.6k
R.D. Tillett United Kingdom 13 20 0.1× 111 0.5× 128 0.7× 36 0.2× 68 0.6× 40 605
D.P. Anderson United States 19 761 3.0× 55 0.3× 17 0.1× 60 0.4× 73 0.6× 46 1.4k

Countries citing papers authored by Arthur Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Fernandes

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Fernandes. A scholar is included among the top collaborators of Arthur Fernandes 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 Arthur Fernandes. Arthur Fernandes 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.
Fernandes, Arthur, et al.. (2025). Facial chick sexing: An automated chick sexing system from chick facial image. Smart Agricultural Technology. 12. 101044–101044. 2 indexed citations
2.
Fernandes, Arthur, et al.. (2024). Monitoring mortality events in floor-raised broilers using machine learning algorithms trained with feeding behavior time-series data. Computers and Electronics in Agriculture. 224. 109124–109124. 5 indexed citations
3.
Fernandes, Arthur, et al.. (2024). Genetic analysis of feed efficiency and novel feeding behavior traits measured in group-housed broilers using electronic feeders. Poultry Science. 103(7). 103737–103737. 6 indexed citations
4.
Fernandes, Arthur, et al.. (2024). Stable binomials over finite fields. Finite Fields and Their Applications. 101. 102520–102520. 2 indexed citations
5.
Fernandes, Arthur, et al.. (2024). CarcassFormer: an end-to-end transformer-based framework for simultaneous localization, segmentation and classification of poultry carcass defect. Poultry Science. 103(8). 103765–103765. 4 indexed citations
6.
Fernandes, Arthur, J.R.R. Dórea, Guilherme J. M. Rosa, et al.. (2023). Use of Biometric Images to Predict Body Weight and Hot Carcass Weight of Nellore Cattle. Animals. 13(10). 1679–1679. 4 indexed citations
7.
8.
Alvarenga, Érika Ramos de, et al.. (2021). Use of hCG hormone in the natural and artificial reproduction of Nile tilapia ( Oreochromis niloticus ). Aquaculture Research. 52(12). 6380–6388. 6 indexed citations
9.
Fernandes, Arthur, et al.. (2021). PSX-A-1 Late-Breaking: A fully automated system for 3D image acquisition, classification and processing for real-time monitoring growth of finishing cattle in feedlots. Journal of Animal Science. 99(Supplement_3). 364–364. 1 indexed citations
10.
Fernandes, Arthur, et al.. (2020). Genetic sensitivity of Chitralada Nile Tilapia (Oreochromis niloticus) body weight to dietetic lysine levels. Aquaculture. 528. 735530–735530. 1 indexed citations
11.
Fernandes, Arthur, et al.. (2020). Evaluation of toceranib for treatment of apocrine gland anal sac adenocarcinoma in dogs. Journal of Veterinary Internal Medicine. 34(2). 873–881. 25 indexed citations
12.
Fernandes, Arthur, J.R.R. Dórea, & Guilherme J. M. Rosa. (2020). Image Analysis and Computer Vision Applications in Animal Sciences: An Overview. Frontiers in Veterinary Science. 7. 551269–551269. 89 indexed citations
13.
Fernandes, Arthur, Érika Ramos de Alvarenga, Tiago Luciano Passafaro, et al.. (2019). PSII-6 Deep Learning image segmentation for extraction of body measurements and prediction of body weight in Nile tilapia. Journal of Animal Science. 97(Supplement_3). 236–237.
14.
Goto, Tatsuhiko, Arthur Fernandes, Masaoki Tsudzuki, & Guilherme J. M. Rosa. (2019). Causal phenotypic networks for egg traits in an F2 chicken population. Molecular Genetics and Genomics. 294(6). 1455–1462. 12 indexed citations
15.
Passafaro, Tiago Luciano, et al.. (2019). Network analysis of swine movements in a multi-site pig production system in Iowa, USA. Preventive Veterinary Medicine. 174. 104856–104856. 34 indexed citations
16.
Fernandes, Arthur, J.R.R. Dórea, Guilherme J. M. Rosa, et al.. (2019). Automated computer vision system to predict body weight and average daily gain in beef cattle during growing and finishing phases. Livestock Science. 232. 103904–103904. 75 indexed citations
17.
Alvarenga, Érika Ramos de, et al.. (2018). Moderate salinities enhance growth performance of Nile tilapia (Oreochromis niloticus) fingerlings in the biofloc system. Aquaculture Research. 49(9). 2919–2926. 49 indexed citations
18.
Fernandes, Arthur, et al.. (2016). MAKE IN INDIA: OPPORTUNITIES AND CHALLENGES IN DEFENCE SECTOR. SSRN Electronic Journal.
19.
20.
Fernandes, Arthur, Haroldo Henrique de Rezende Neves, Roberto Carvalheiro, João Ademir de Oliveira, & Sandra Aidar de Queiroz. (2015). Body condition score of Nellore beef cows: a heritable measure to improve the selection of reproductive and maternal traits. animal. 9(8). 1278–1284. 9 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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