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Pacza Tünde

Name: Pacza Tünde
Affiliation:
  • Debreceni Egyetem. Agrártudományi Doktori Tanács. Táplálkozás- és Élelmiszertudományi Doktori Iskola. Élelmiszertudományi doktori program / University of Debrecen. Doctoral Council of Agricultural Sciences. Doctoral School of Nutrition and Food Sciences
  • Debreceni Egyetem. Mezőgazdaság-, Élelmiszertudományi és Környezetgazdálkodási Kar. Táplálkozástudományi Intézet / University of Debrecen. Faculty of Agricultural and Food Sciences and Environmental Management. Institute of Nutrition
Other profiles: MTMT, ResearchGate

Publication list

Uploaded publications:
7
Publications in DEA:
7
OA:
5
Date range:
2022-2024
2024
  1. Baranyi, J., Csorba, S., Farkas, Z., Pacza, T., Jóźwiak, Á.: Internal dynamics of patent reference networks using the Bray-Curtis dissimilarity measure.
    J Big Data. 11 (1), 1-10, 2024.
    Journal metrics:
    D1 Computer Networks and Communications (2023)
    D1 Hardware and Architecture (2023)
    D1 Information Systems (2023)
    Q1 Information Systems and Management (2023)
  2. Baranyi, J., Pacza, T., Martins, M., Thakkar, S., Samuel, T.: Modelling the temporal trajectories of human milk components.
    BMC Pregnancy Childbirth. 24 (1), 1-13, 2024.
    Journal metrics:
    Q1 Obstetrics and Gynecology (2023)
2023
  1. Pacza, T., Martins, M., Müller, K., Baranyi, J.: MilkyBase- A Database for Molecular-Level Mapping of the Composition of the Human Milk.
    In: International Milk Genomic Consortium : IMGC HYBRID Symposium 2023, IMGC, Cork, 1, 2023.
2022
  1. Martins, M., Pacza, T., Müller, K., Baranyi, J.: A computational approach to nutrition science reveals the dynamics of the protein content of human milk.
    Innovative Food Science & Emerging Technologies. 82 1-5, 2022.
    Journal metrics:
    Q1 Chemistry (miscellaneous)
    D1 Food Science
    Q1 Industrial and Manufacturing Engineering
  2. Pacza, T., Martins, M., Rockaya, M., Müller, K., Chatterjee, A., Barabási, A., Baranyi, J.: MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions.
    Sci Data. 9 (1), 1-7, 2022.
    Journal metrics:
    D1 Computer Science Applications
    D1 Education
    D1 Information Systems
    D1 Library and Information Sciences
    D1 Statistics and Probability
    D1 Statistics, Probability and Uncertainty
updated: 2024-11-14, 01:54

SCImago quartiles of
scientific journal articles

Number of scientific articles: 5
Q1/D1 3 (60%)
Q1 4 (80%)
N/A 1 (20%)
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SCImago subject areas and categories

Computer Science (2)
Information Systems (2)
Computer Networks and Communications (1)
Computer Science Applications (1)
Hardware and Architecture (1)
Decision Sciences (2)
Information Systems and Management (1)
Statistics, Probability and Uncertainty (1)
Agricultural and Biological Sciences (1)
Food Science (1)
Chemistry (1)
Chemistry (miscellaneous) (1)
Engineering (1)
Industrial and Manufacturing Engineering (1)
Mathematics (1)
Statistics and Probability (1)
Medicine (1)
Obstetrics and Gynecology (1)
Social Sciences (1)
Education (1)
Library and Information Sciences (1)

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