Nadia Slimani

39.4k total citations · 2 hit papers
95 papers, 4.4k citations indexed

About

Nadia Slimani is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Nadia Slimani has authored 95 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Public Health, Environmental and Occupational Health, 33 papers in Physiology and 16 papers in Nutrition and Dietetics. Recurrent topics in Nadia Slimani's work include Nutritional Studies and Diet (67 papers), Obesity, Physical Activity, Diet (22 papers) and Diet and metabolism studies (20 papers). Nadia Slimani is often cited by papers focused on Nutritional Studies and Diet (67 papers), Obesity, Physical Activity, Diet (22 papers) and Diet and metabolism studies (20 papers). Nadia Slimani collaborates with scholars based in France, Netherlands and United Kingdom. Nadia Slimani's co-authors include Inge Huybrechts, Elio Ríboli, Marga C. Ocké, Pietro Ferrari, Sandra Patrícia Crispim, Heiner Boeing, Willem De Keyzer, Heinz Freisling, Sheila Bingham and Mazda Jenab and has published in prestigious journals such as American Journal of Clinical Nutrition, American Journal of Epidemiology and Food Chemistry.

In The Last Decade

Nadia Slimani

94 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Strengthening the Reporting of Observational Studies in Epidemiology – nutritional epidemiology (STROBE‐nut): An extension of the STROBE statement

2016 342 citations Elisabet Wirfält, Willem De Keyzer et al. profile →
Strengthening the Reporting of Observational Studies in Epidemiology—Nutritional Epidemiology (STROBE-nut): An Extension of the STROBE Statement

2016 323 citations Marga C. Ocké, Elisabet Wirfält et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadia Slimani France	32	2.9k	1.2k	807	440	376	95	4.4k
Angela Bechthold Germany	18	2.4k 0.8×	1.0k 0.8×	1.1k 1.3×	385 0.9×	333 0.9×	27	4.4k
Ambika Satija United States	28	2.9k 1.0×	1.6k 1.3×	584 0.7×	352 0.8×	311 0.8×	55	4.9k
Léopold Fezeu France	47	3.6k 1.2×	1.3k 1.1×	792 1.0×	328 0.7×	424 1.1×	166	6.8k
Heiner Boeing Germany	29	3.0k 1.0×	1.6k 1.3×	789 1.0×	244 0.6×	428 1.1×	49	4.8k
Stefano Marventano Italy	38	2.2k 0.7×	1.2k 1.0×	959 1.2×	243 0.6×	227 0.6×	56	4.6k
Nancy Babió Spain	38	2.4k 0.8×	1.6k 1.3×	945 1.2×	236 0.5×	382 1.0×	141	4.8k
Alfredo Gea Spain	35	3.0k 1.0×	1.3k 1.1×	622 0.8×	255 0.6×	288 0.8×	114	4.7k
Elisabet Wirfält Sweden	45	2.8k 1.0×	1.5k 1.2×	905 1.1×	311 0.7×	804 2.1×	93	5.3k
Pieter van’t Veer Netherlands	36	1.8k 0.6×	742 0.6×	994 1.2×	276 0.6×	245 0.7×	83	4.3k
Carolina Schwedhelm Germany	21	2.9k 1.0×	1.6k 1.3×	720 0.9×	221 0.5×	448 1.2×	41	4.3k

Countries citing papers authored by Nadia Slimani

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Slimani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Slimani

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Slimani. A scholar is included among the top collaborators of Nadia Slimani 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 Nadia Slimani. Nadia Slimani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Slimani, Nadia, et al.. (2024). Multimodal Biometric Authentication Using Face and Signature Based on Dempster-Shafer Theory. 1–6.

Slimani, Nadia, et al.. (2023). Towards a new intelligent traffic system based on deep learning and data integration. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(4). 4649–4649. 2 indexed citations

Slimani, Nadia, et al.. (2022). Automated machine learning: the new data science challenge. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(4). 4243–4243. 5 indexed citations

Camey, Suzi Alves, Dirce Maria Lobo Marchioni, Marga C. Ocké, et al.. (2019). Subjects’ Perception in Quantifying Printed and Digital Photos of Food Portions. Nutrients. 11(3). 501–501. 14 indexed citations

Brown, Kerry A., Lada Timotijević, R.A.M. Dhonukshe-Rutten, et al.. (2017). Concepts and procedures for mapping food and health research infrastructure: New insights from the EuroDISH project. Trends in Food Science & Technology. 63. 113–131. 8 indexed citations

Huybrechts, Inge, Tineke De Vriendt, Nadia Slimani, et al.. (2014). Validity of instruction leaflets for parents to measure their child's weight and height at home: results obtained from a randomised controlled trial. BMJ Open. 4(2). e003768–e003768. 12 indexed citations

Nicolas, Geneviève, Cornelia M. Witthöft, Jérôme Vignat, et al.. (2014). Compilation of a standardised international folate database for EPIC. Food Chemistry. 193. 134–140. 9 indexed citations

Ocké, Marga C., H.A.M. Brants, Marcela Dofková, et al.. (2014). Feasibility of dietary assessment methods, other tools and procedures for a pan-European food consumption survey among infants, toddlers and children. European Journal of Nutrition. 54(5). 721–732. 11 indexed citations

Ocké, Marga C., Nadia Slimani, H.A.M. Brants, et al.. (2011). Potential and requirements for a standardized pan-European food consumption survey using the epic-soft 24-h recalls. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

10.

Keyzer, Willem De, Inge Huybrechts, Veerle de Vriendt, et al.. (2011). Repeated 24-hour recalls versus dietary records for estimating nutrient intakes in a national food consumption survey. Food & Nutrition Research. 55(1). 7307–7307. 83 indexed citations

11.

Huybrechts, Inge, Anouk Geelen, J.H.M. de Vries, et al.. (2011). Respondents’ evaluation of the 24-h dietary recall method (EPIC-Soft) in the EFCOVAL Project. European Journal of Clinical Nutrition. 65(S1). S29–S37. 16 indexed citations

12.

Crispim, Sandra Patrícia, Anouk Geelen, Olga W. Souverein, et al.. (2011). Biomarker-based evaluation of two 24-h recalls for comparing usual fish, fruit and vegetable intakes across European centers in the EFCOVAL Study. European Journal of Clinical Nutrition. 65(S1). S38–S47. 40 indexed citations

13.

Fahey, Michael, Pietro Ferrari, Nadia Slimani, et al.. (2011). Identifying dietary patterns using a normal mixture model: application to the EPIC study. Journal of Epidemiology & Community Health. 66(1). 89–94. 13 indexed citations

14.

Keyzer, Willem De, Inge Huybrechts, Mieke De Maeyer, et al.. (2010). Food photographs in nutritional surveillance: errors in portion size estimation using drawings of bread and photographs of margarine and beverages consumption. Ghent University Academic Bibliography (Ghent University). 7 indexed citations

15.

Jenab, Mazda, Nadia Slimani, Magda Bictash, Pietro Ferrari, & Sheila Bingham. (2009). Biomarkers in nutritional epidemiology: applications, needs and new horizons. Human Genetics. 125(5-6). 507–525. 302 indexed citations

16.

Spencer, Elizabeth, Timothy J. Key, Paul N. Appleby, et al.. (2009). Prospective study of the association between grapefruit intake and risk of breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cancer Causes & Control. 20(6). 803–809. 18 indexed citations

17.

Slimani, Nadia, Sheila Bingham, Shirley A. Runswick, et al.. (2003). Group level validation of protein intakes estimated by 24-hour diet recall and dietary questionnaires against 24-hour urinary nitrogen in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study.. Socio-Environmental Systems Modeling. 12(8). 784–95. 47 indexed citations

18.

Agudo, Antonio, Nadia Slimani, Ocké Mc, & Androniki Naska. (2002). Vegetable and fruit consumption in the EPIC cohorts from 10 European countries.. PubMed. 156. 99–103. 12 indexed citations

19.

Slimani, Nadia, Michael Fahey, A Welch, et al.. (2002). Do dietary patterns actually vary within the EPIC study?. PubMed. 156. 49–52. 3 indexed citations

20.

Kaaks, Rudolf, Nadia Slimani, & Elio Ríboli. (1997). Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: Overall evaluation of results. International Journal of Epidemiology. 26. 46 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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