Csaba Molnár

2.4k citations
17 papers · 746 indexed · h-index 11
Topics
Cell Image Analysis Techniques (9 papers)Image Processing Techniques and Applications (5 papers)Single-cell and spatial transcriptomics (3 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Csaba Molnár

17 papers receiving 734 citations

Peers

Csaba Molnár
Comparison fields: 5 of 124
  • Biophysics 260
  • Molecular Biology 230
  • Materials Chemistry 197
  • Biomedical Engineering 188
  • Computer Vision and Pattern Recognition 110
Replace Siewert Hugelier with:
Siewert Hugelier France
Enguang Zuo China
Rana A. Alghamdi Saudi Arabia
Qiuyu Fang China
Chenshuang Zhang China
Chenge Li France
Jennifer Dorney United Kingdom
Jiahao Wang China
Szu‐Yu Chen Taiwan
Martin Isabelle United Kingdom
Csaba Molnár relative to Siewert Hugelier France Siewert Hugelier's profile →
Citations per field
00.5×5.8×
Siewert Hugelier · 1×
Citations per year

Countries citing papers authored by Csaba Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Molnár

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 19
3 13
4 9
5 222
6 187
7 13
8 60
9 36
10 27
11 56
12 45
13 45
14 2
15 2
16
A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects ∗
4
17 1

About Csaba Molnár

Csaba Molnár is a scholar working on Biophysics, Media Technology and Oral Surgery, having authored 17 papers that have together received 746 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (5 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Biophysics (260 citations), Media Technology (98 citations) and Structural Biology (9 citations). Csaba Molnár has collaborated with scholars based in Hungary, Finland and United States. Frequent co-authors include Zoltán Kónya, Andrea Rónavári, Mónika Kiricsi, Bettina Szerencsés, Nóra Igaz, Dóra Izabella Adamecz, Ilona Pfeiffer, Juan C. Caicedo, Jonathan Roth and Péter Horváth. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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