I. González

981 citations
45 papers · 747 · h-index 16

Impact in

Papers in

I. González

44 papers receiving 684 citations

Peers

I. González
Comparison fields: 5 of 83
  • Animal Science and Zoology 153
  • Food Science 260
  • Molecular Biology 558
  • Ecology 193
  • Agronomy and Crop Science 74
Replace Marco Mazzara with:
Marco Mazzara Italy
Sung-Sik Yoon South Korea
Aaron Ingham Australia
Xiaoyue Chen China
Umesh Singh India
Seung-Pyo Hong South Korea
Christina Boucher United States
Bishnu Prasad Mishra India
Claudia Baur Germany
Dejan Štebih Slovenia
I. González relative to Marco Mazzara Italy Marco Mazzara's profile →
Citations per field
00.5×4.6×
Marco Mazzara · 1×
Citations per year

Countries citing papers authored by I. González

Since Specialization
Citations

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

Fields of papers citing papers by I. González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I. González, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with I. González Line = papers co-authored together I. González links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200475
2 200761
3 200647
4 200744
5 200142
6 199940
7 201236
8 200734
9 200533
10 200730
11 199728
12 199928
13 199726
14
Analysis of the best-worst ant system and its variants on the TSP
200222
15 201016
16 199415
17 199414
18 200913
19 201012
20 201212

About I. González

I. González is a scholar working on Molecular Biology, Animal Science and Zoology, Ecology, Agronomy and Crop Science and Food Science, having authored 45 papers that have together received 747 indexed citations. Recurring topics across this work include Identification and Quantification in Food (26 papers), Meat and Animal Product Quality (11 papers), Environmental DNA in Biodiversity Studies (7 papers), Molecular Biology Techniques and Applications (6 papers), Experimental Learning in Engineering (4 papers), Milk Quality and Mastitis in Dairy Cows (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Food Allergy and Anaphylaxis Research (3 papers). The work is most often cited by research in Animal Science and Zoology (153 citations), Food Science (260 citations), Molecular Biology (558 citations), Ecology (193 citations) and Agronomy and Crop Science (74 citations). I. González has collaborated with scholars based in Spain. Frequent co-authors include Teresa Garcı́a, Rosario Martı́n, Pablo E. Hernández, Inés López-Calleja, Violeta Fajardo, I. Martín, B. Sanz, María Rojas, Miguel A. Rodrı́guez and Nicolette Pegels. Their work appears in journals such as Food and Agricultural Immunology, Poultry Science, Journal of Food Protection, Journal of Food Science and Journal of Applied Microbiology.

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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