I. Carbonell

860 total citations
23 papers, 658 citations indexed

About

I. Carbonell is a scholar working on Food Science, Animal Science and Zoology and Nutrition and Dietetics. According to data from OpenAlex, I. Carbonell has authored 23 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Food Science, 9 papers in Animal Science and Zoology and 9 papers in Nutrition and Dietetics. Recurrent topics in I. Carbonell's work include Sensory Analysis and Statistical Methods (16 papers), Meat and Animal Product Quality (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). I. Carbonell is often cited by papers focused on Sensory Analysis and Statistical Methods (16 papers), Meat and Animal Product Quality (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). I. Carbonell collaborates with scholars based in Spain, Brazil and Japan. I. Carbonell's co-authors include E. Costell, S. Bayarri, Beatríz Villegas, L. Izquierdo, Amparo Tárrega, Takehiko Shimada, L. Durán, Leandro Peña, Ana Redondo and Ana Rodríguez and has published in prestigious journals such as Food Chemistry, Journal of Dairy Science and Journal of the Science of Food and Agriculture.

In The Last Decade

I. Carbonell

23 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Carbonell Spain 15 476 252 161 122 120 23 658
Marina Leite Mitterer‐Daltoé Brazil 14 347 0.7× 118 0.5× 103 0.6× 70 0.6× 107 0.9× 50 563
Lisbeth Johansson Sweden 11 326 0.7× 226 0.9× 97 0.6× 48 0.4× 172 1.4× 17 527
Nilda Doris Montes Villanueva Brazil 14 483 1.0× 202 0.8× 290 1.8× 69 0.6× 105 0.9× 24 723
Suzana Maria Della Lúcia Brazil 15 382 0.8× 175 0.7× 90 0.6× 119 1.0× 142 1.2× 57 609
David H. Lyon United Kingdom 7 410 0.9× 209 0.8× 137 0.9× 31 0.3× 125 1.0× 8 574
M.D. Yates United States 12 368 0.8× 199 0.8× 182 1.1× 46 0.4× 58 0.5× 13 460
K.W. Chapman United States 12 268 0.6× 143 0.6× 138 0.9× 52 0.4× 63 0.5× 13 435
Laurence Fillion United Kingdom 8 241 0.5× 124 0.5× 49 0.3× 66 0.5× 194 1.6× 9 500
Cecilia Barreiro Uruguay 8 577 1.2× 299 1.2× 165 1.0× 77 0.6× 76 0.6× 8 658
Marina Peparaio Italy 16 349 0.7× 184 0.7× 87 0.5× 91 0.7× 235 2.0× 30 695

Countries citing papers authored by I. Carbonell

Since Specialization
Citations

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

Fields of papers citing papers by I. Carbonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Carbonell

This figure shows the co-authorship network connecting the top 25 collaborators of I. Carbonell. A scholar is included among the top collaborators of I. Carbonell 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 I. Carbonell. I. Carbonell 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.
Rodríguez, Ana, Josep E. Peris, Ana Redondo, et al.. (2016). Impact of d-limonene synthase up- or down-regulation on sweet orange fruit and juice odor perception. Food Chemistry. 217. 139–150. 41 indexed citations
2.
Bayarri, S., I. Carbonell, & E. Costell. (2012). Viscoelasticity and texture of spreadable cheeses with different fat contents at refrigeration and room temperatures. Journal of Dairy Science. 95(12). 6926–6936. 34 indexed citations
3.
Bayarri, S., et al.. (2011). IDENTIFYING DRIVERS OF LIKING FOR COMMERCIAL SPREADABLE CHEESES WITH DIFFERENT FAT CONTENT. Journal of Sensory Studies. 27(1). 1–11. 29 indexed citations
4.
Bayarri, S., et al.. (2010). Impact of sensory differences on consumer acceptability of yoghurt and yoghurt-like products. International Dairy Journal. 21(2). 111–118. 89 indexed citations
5.
Bayarri, S., et al.. (2010). ACCEPTABILITY OF YOGURT AND YOGURT‐LIKE PRODUCTS: INFLUENCE OF PRODUCT INFORMATION AND CONSUMER CHARACTERISTICS AND PREFERENCES. Journal of Sensory Studies. 25(s1). 171–189. 48 indexed citations
6.
Bayarri, S., et al.. (2009). Sensory Profile and Acceptability of Juices from Mandarin Varieties and Hybrids. Food Science and Technology International. 15(4). 375–385. 10 indexed citations
7.
Villegas, Beatríz, Amparo Tárrega, I. Carbonell, & E. Costell. (2009). Optimising acceptability of new prebiotic low-fat milk beverages. Food Quality and Preference. 21(2). 234–242. 66 indexed citations
8.
Villegas, Beatríz, I. Carbonell, & E. Costell. (2009). Acceptability of Milk and Soymilk Vanilla Beverages: Demographics Consumption Frequency and Sensory Aspects. Food Science and Technology International. 15(2). 203–210. 39 indexed citations
9.
Bayarri, S., et al.. (2008). CONSUMER ATTITUDES AND OPINIONS TOWARD FUNCTIONAL FOODS: A FOCUS GROUP STUDY. Journal of Sensory Studies. 23(4). 514–525. 56 indexed citations
10.
Bayarri, S., I. Carbonell, L. Izquierdo, & Amparo Tárrega. (2008). Replicated triangle and duo–trio tests: Discrimination capacity of assessors evaluated by Bayes’ rule. Food Quality and Preference. 19(5). 519–523. 3 indexed citations
11.
Navarro, José Luís, et al.. (2008). Sensory Profile of Mandarin Chilled Juices and Consumers' Acceptability. Food Science and Technology International. 14(2). 157–166. 3 indexed citations
12.
Villegas, Beatríz, I. Carbonell, & E. Costell. (2007). INULIN MILK BEVERAGES: SENSORY DIFFERENCES IN THICKNESS AND CREAMINESS USING R‐INDEX ANALYSIS OF THE RANKING DATA. Journal of Sensory Studies. 22(4). 377–393. 31 indexed citations
13.
Villegas, Beatríz, I. Carbonell, & E. Costell. (2007). Colour and viscosity of milk and soybean vanilla beverages. Instrumental and sensory measurements. Journal of the Science of Food and Agriculture. 88(3). 397–403. 8 indexed citations
14.
Izquierdo, L., et al.. (2007). Segmentation of food consumers according to their correlations with sensory attributes projected on preference spaces. Food Quality and Preference. 19(1). 71–78. 45 indexed citations
15.
Izquierdo, L., et al.. (2006). Sensory analysis of Spanish mandarin juices. Selection of attributes and panel performance. Food Quality and Preference. 18(2). 329–341. 39 indexed citations
16.
Carbonell, I., et al.. (2005). Triangle tests. Number of discriminators estimated by Bayes’ rule. Food Quality and Preference. 18(1). 117–120. 6 indexed citations
17.
Carbonell, I., et al.. (2004). Influence of type, concentration and flow behaviour of hydrocolloid solutions on aroma perception. European Food Research and Technology. 218(3). 248–252. 16 indexed citations
18.
Carbonell, I., L. Durán, L. Izquierdo, & E. Costell. (2003). TEXTURE OF CULTURED GILTHEAD SEA BREAM (SPARUS AURATA): INSTRUMENTAL AND SENSORY MEASUREMENT. Journal of Texture Studies. 34(2). 203–217. 18 indexed citations
19.
Carbonell, I., L. Izquierdo, & E. Costell. (2002). Sensory Profiling of Cooked Gilthead Sea Bream (Sparus aurata): Sensory Evaluation Procedures and Panel Training. Food Science and Technology International. 8(3). 169–177. 9 indexed citations
20.
Lora, Jorge, et al.. (1992). Simulación del proceso de destilación para la concentración de aromas del vino. 32(2450). 2707–2717. 1 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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