N. Atti
- Animal Science and Zoology top 0.5%
- Agronomy and Crop Science top 1%
- Genetics top 5%
- Food Science top 5%
- Molecular Biology
- Co-authors
- Mokhtar MahouachiSamir SmetiH. RouissiH. HajjiH. Ben SalemG. KhaldiM. JoyAlessandro Priolo
- Topics
- Ruminant Nutrition and Digestive Physiology (34 papers)Meat and Animal Product Quality (30 papers)Animal Nutrition and Physiology (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaMoleculesMeat Science
In The Last Decade
N. Atti
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Animal Science and Zoology 745
- Agronomy and Crop Science 662
- Genetics 372
- Food Science 217
- Molecular Biology 145
Countries citing papers authored by N. Atti
This map shows the geographic impact of N. Atti'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 N. Atti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Atti more than expected).
Fields of papers citing papers by N. Atti
This network shows the impact of papers produced by N. Atti. 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 N. Atti. The network helps show where N. Atti may publish in the future.
Co-authorship network of co-authors of N. Atti
This figure shows the co-authorship network connecting the top 25 collaborators of N. Atti. A scholar is included among the top collaborators of N. Atti 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 N. Atti. N. Atti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 25 | |
| 11 | 12 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 14 | |
| 15 | 48 | |
| 16 | In vivo fat and muscle weight prediction for lambs from fat- and thin-tailed breeds by real-time ultrasonography. | 2 |
| 17 | Use of spineless cactus as a basal food for dairy goats: impacts on milk production and kid's growth. | 1 |
| 18 | Incorporation of cactus (Opuntia ficus-indica f. inermis) in young goats diets: 1. Effects on intake, digestion, growth and carcass composition. | 7 |
| 19 | Incorporation of cactus (Opuntia ficus-indica f. inermis) in young goats diets: 2. Effects on meat quality and fatty acid composition. | 1 |
| 20 | 52 |
About N. Atti
N. Atti is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Genetics, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (34 papers), Meat and Animal Product Quality (30 papers) and Animal Nutrition and Physiology (28 papers). The work is most often cited by research in Animal Science and Zoology (745 citations), Agronomy and Crop Science (662 citations) and Forestry (61 citations). N. Atti has collaborated with scholars based in Tunisia, Spain and France. Frequent co-authors include Mokhtar Mahouachi, Samir Smeti, H. Rouissi, H. Hajji, H. Ben Salem, G. Khaldi, M. Joy, Alessandro Priolo, François Bocquier and G. Ripoll. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Meat Science.
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.