Melania Borit

1.1k citations
27 papers · 673 · h-index 11

Impact in

Papers in

Melania Borit

25 papers receiving 651 citations

Peers

Melania Borit
Comparison fields: 5 of 111
  • Food Science 290
  • Health Informatics 14
  • Modeling and Simulation 43
  • General Dentistry 8
  • Strategy and Management 63
Replace Seán Ó hÉigeartaigh with:
Seán Ó hÉigeartaigh United Kingdom
Zhigang Wang China
Anna L. Carew Australia
Heather A. Snell United States
Faisal Shahzad Pakistan
William Isaac United States
Joowon Park South Korea
Kathryn A. Boys United States
Giovanna Sacchi Italy
Oscar Tamburis Italy
Melania Borit relative to Seán Ó hÉigeartaigh United Kingdom Seán Ó hÉigeartaigh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Melania Borit

Since Specialization
Citations

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

Fields of papers citing papers by Melania Borit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melania Borit, 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 Melania Borit Line = papers co-authored together Melania Borit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 2018126
3 202094
4 201840
5 201130
6 202228
7 202017
8 201917
9
Applications, limitations, costs, and benefits related to the use of blockchain technology in the food industry
201913
10 201512
11 202311
12 202210
13 202210
14 20229
15 20209
16 20188
17 20228
18 20227
19 20186
20 20162

About Melania Borit

Melania Borit is a scholar working on Sociology and Political Science, Global and Planetary Change, Artificial Intelligence, Food Science and General Social Sciences, having authored 27 papers that have together received 673 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (4 papers), Food Supply Chain Traceability (4 papers), Qualitative Comparative Analysis Research (3 papers), Identification and Quantification in Food (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Marine and fisheries research (2 papers), Meat and Animal Product Quality (2 papers) and Digital Games and Media (2 papers). The work is most often cited by research in Food Science (290 citations), Health Informatics (14 citations), Modeling and Simulation (43 citations), General Dentistry (8 citations) and Strategy and Management (63 citations). Melania Borit has collaborated with scholars based in Norway, Sweden and United Kingdom. Frequent co-authors include Petter Olsen, Shaheen Syed, Marco Spruit, Harko Verhagen, Lina Stangvaltaite‐Mouhat, Gary Polhill, Bruce Edmonds, Francesca Giardini, Petra Ahrweiler and Nigel Gilbert. Their work appears in journals such as International Journal of Social Research Methodology, Trends in Food Science & Technology, European Journal Of Dental Education, Journal of Artificial Intelligence Research and Fish and Fisheries.

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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