Ervin Tasnádi

662 total citations
13 papers, 178 citations indexed

About

Ervin Tasnádi is a scholar working on Biophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ervin Tasnádi has authored 13 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 5 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Ervin Tasnádi's work include Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (3 papers) and AI in cancer detection (2 papers). Ervin Tasnádi is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (3 papers) and AI in cancer detection (2 papers). Ervin Tasnádi collaborates with scholars based in Hungary, Finland and Italy. Ervin Tasnádi's co-authors include Péter Horváth, Filippo Piccinini, Nikita Moshkov, Lassi Paavolainen, Réka Hollandi, Tamás Balassa, József Molnár, Gábor Berend, Krisztián Koós and Tímea Tóth and has published in prestigious journals such as Nature Communications, Bioinformatics and Nature Methods.

In The Last Decade

Ervin Tasnádi

12 papers receiving 175 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ervin Tasnádi Hungary	7	71	58	43	36	31	13	178
Krisztián Koós Hungary	9	107 1.5×	105 1.8×	19 0.4×	21 0.6×	56 1.8×	14	239
Michele D’Orazio Italy	12	42 0.6×	70 1.2×	21 0.5×	22 0.6×	141 4.5×	35	332
Tamás Balassa Hungary	10	164 2.3×	166 2.9×	23 0.5×	39 1.1×	63 2.0×	10	340
Sotiris Dimopoulos Switzerland	9	102 1.4×	224 3.9×	44 1.0×	39 1.1×	27 0.9×	9	342
Umesh Adiga United States	5	195 2.7×	84 1.4×	88 2.0×	139 3.9×	32 1.0×	8	338
Adityanarayanan Radhakrishnan United States	8	57 0.8×	137 2.4×	57 1.3×	27 0.8×	15 0.5×	14	282
Vladimír Ulman Czechia	7	82 1.2×	80 1.4×	14 0.3×	29 0.8×	30 1.0×	20	204
Tim Scherr Germany	7	70 1.0×	34 0.6×	57 1.3×	57 1.6×	19 0.6×	17	156
Gus Ferguson United Kingdom	5	130 1.8×	116 2.0×	44 1.0×	17 0.5×	13 0.4×	8	230
Alyson Petruncio United States	3	62 0.9×	88 1.5×	9 0.2×	10 0.3×	15 0.5×	4	194

Countries citing papers authored by Ervin Tasnádi

Since Specialization

Citations

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

Fields of papers citing papers by Ervin Tasnádi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ervin Tasnádi

This figure shows the co-authorship network connecting the top 25 collaborators of Ervin Tasnádi. A scholar is included among the top collaborators of Ervin Tasnádi 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 Ervin Tasnádi. Ervin Tasnádi 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

Ölbei, Márton, Gergely Fekete, Ervin Tasnádi, et al.. (2024). mulea: An R package for enrichment analysis using multiple ontologies and empirical false discovery rate. BMC Bioinformatics. 25(1). 334–334.

Tasnádi, Ervin, et al.. (2023). Structure preserving adversarial generation of labeled training samples for single-cell segmentation. Cell Reports Methods. 3(9). 100592–100592. 2 indexed citations

Tasnádi, Ervin, Juan Carlos Caicedo, Rickard Sjögren, et al.. (2023). Segmentation metric misinterpretations in bioimage analysis. Nature Methods. 21(2). 213–216. 19 indexed citations

Hollandi, Réka, Nikita Moshkov, Lassi Paavolainen, et al.. (2022). Nucleus segmentation: towards automated solutions. Trends in Cell Biology. 32(4). 295–310. 44 indexed citations

Serra, Angela, Michele Fratello, Antonio Federico, et al.. (2021). Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation. Briefings in Bioinformatics. 23(1). 14 indexed citations

Koós, Krisztián, Gáspár Oláh, Tamás Balassa, et al.. (2021). Automatic deep learning-driven label-free image-guided patch clamp system. Nature Communications. 12(1). 936–936. 33 indexed citations

Tasnádi, Ervin, Tímea Tóth, Mária Kovács, et al.. (2020). 3D-Cell-Annotator: an open-source active surface tool for single-cell segmentation in 3D microscopy images. Bioinformatics. 36(9). 2948–2949. 16 indexed citations

Pap, Ádám, Ervin Tasnádi, Katalin F. Medzihradszky, & Zsuzsanna Darula. (2020). Novel O -linked sialoglycan structures in human urinary glycoproteins. Molecular Omics. 16(2). 156–164. 10 indexed citations

Piccinini, Filippo, Tamás Balassa, Antonella Carbonaro, et al.. (2020). Software tools for 3D nuclei segmentation and quantitative analysis in multicellular aggregates. Computational and Structural Biotechnology Journal. 18. 1287–1300. 26 indexed citations

10.

Tasnádi, Ervin, et al.. (2019). Open-Source Tools for Volume Estimation of 3D Multicellular Aggregates. Applied Sciences. 9(8). 1616–1616. 3 indexed citations

11.

Molnár, József, Ervin Tasnádi, Bálint Kintses, et al.. (2017). Active Surfaces for Selective Object Segmentation in 3D. 1–7. 1 indexed citations

12.

Tasnádi, Ervin & Gábor Berend. (2015). Supervised Prediction of Social Network Links Using Implicit Sources of Information. SZTE Publicatio Repozitórium (University of Szeged). 1117–1122. 4 indexed citations

13.

Berend, Gábor & Ervin Tasnádi. (2015). USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics. SZTE Publicatio Repozitórium (University of Szeged). 120–125. 6 indexed citations

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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