Primož Kocbek

609 total citations · 1 hit paper
13 papers, 336 citations indexed

About

Primož Kocbek is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Primož Kocbek has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Health Information Management. Recurrent topics in Primož Kocbek's work include Machine Learning in Healthcare (4 papers), Chronic Disease Management Strategies (2 papers) and Artificial Intelligence in Healthcare (2 papers). Primož Kocbek is often cited by papers focused on Machine Learning in Healthcare (4 papers), Chronic Disease Management Strategies (2 papers) and Artificial Intelligence in Healthcare (2 papers). Primož Kocbek collaborates with scholars based in Slovenia, United Kingdom and United States. Primož Kocbek's co-authors include Gregor Štiglic, Aziz Sheikh, Leona Cilar, Leon Kopitar, Nino Fijačko, Majda Pajnkihar, Roger Watson, Dominika Vrbnjak, Andraž Stožer and Karl Øyvind Mikalsen and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and JAMA Network Open.

In The Last Decade

Primož Kocbek

12 papers receiving 326 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.

Early detection of type 2 diabetes mellitus using machine learning-based prediction models

2020 227 citations Leon Kopitar, Primož Kocbek et al. Scientific Reports profile →

Peers

Countries citing papers authored by Primož Kocbek

Since Specialization

Citations

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

Fields of papers citing papers by Primož Kocbek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Primož Kocbek

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses 2024 ·Resuscitation Plus ·Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, (unknown), Robert Greif, Gregor Štiglic	7
2	Sentiment Analysis of Social Media Users’ Emotional Response to Sudden Cardiac Arrest During a Football Broadcast 2023 ·JAMA Network Open ·Nino Fijačko, Robert Greif, Gregor Štiglic, Primož Kocbek, Benjamin S. Abella	3
3	Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare 2022 ·Gregor Štiglic, (unknown), Lucija Gosak, Nino Fijačko, Primož Kocbek	0
4	Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models 2022 ·Journal of Personalized Medicine ·(unknown), Primož Kocbek, Lucija Gosak, Nino Fijačko, Gregor Štiglic	4
5	The Antimicrobial Effect of Various Single-Strain and Multi-Strain Probiotics, Dietary Supplements or Other Beneficial Microbes against Common Clinical Wound Pathogens 2022 ·Microorganisms ·Sabina Fijan, Primož Kocbek, Andrej Steyer, (unknown), (unknown)	10
6	A Review of Mortality Risk Prediction Models in Smartphone Applications 2021 ·Journal of Medical Systems ·Nino Fijačko, Ruth Masterson Creber, Lucija Gosak, Primož Kocbek, Leona Cilar, (unknown), Gregor Štiglic	7
7	Nutritional quality of beverages available in vending machines in health and social care institutions: do we really want such offers? 2021 ·Journal of Health Population and Nutrition ·(unknown), Nataša Fidler Mis, (unknown), Igor Pravst, Primož Kocbek, (unknown), Sonja Šoštar Turk	6
8	Early detection of type 2 diabetes mellitus using machine learning-based prediction models breakdown → 2020 ·Scientific Reports ·Leon Kopitar, Primož Kocbek, Leona Cilar, Aziz Sheikh, Gregor Štiglic	227
9	Sweet, Fat and Salty: Snacks in Vending Machines in Health and Social Care Institutions in Slovenia 2020 ·International Journal of Environmental Research and Public Health ·(unknown), Igor Pravst, (unknown), Urška Blaznik, Primož Kocbek, Sonja Šoštar Turk	6
10	Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data 2019 ·Computational and Mathematical Methods in Medicine ·Primož Kocbek, Nino Fijačko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uroš Maver, Petra Povalej, Andraž Stožer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Štiglic	15
11	An international cross-cultural study of nursing students' perceptions of caring 2019 ·Nurse Education Today ·Majda Pajnkihar, Primož Kocbek, (unknown), (unknown), (unknown), Gregor Štiglic, Roger Watson, Dominika Vrbnjak	20
12	Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records 2018 ·PeerJ ·(unknown), Primož Kocbek, Andraž Stožer, (unknown), Tudor Groza, Gregor Štiglic	6
13	Challenges associated with missing data in electronic health records: A case study of a risk prediction model for diabetes using data from Slovenian primary care 2017 ·Health Informatics Journal ·Gregor Štiglic, Primož Kocbek, Nino Fijačko, Aziz Sheikh, Majda Pajnkihar	25

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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