Balázs Harangi

1.7k total citations · 1 hit paper
51 papers, 948 citations indexed

About

Balázs Harangi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Balázs Harangi has authored 51 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Artificial Intelligence and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Balázs Harangi's work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (12 papers) and AI in cancer detection (12 papers). Balázs Harangi is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (12 papers) and AI in cancer detection (12 papers). Balázs Harangi collaborates with scholars based in Hungary, United Kingdom and Iraq. Balázs Harangi's co-authors include András Hajdú, Ágnes Baran, János Tóth, László Kovács, Brigitta Nagy, Tünde Pető, István Lázár, Bálint Antal, Péter Török and Laith Alzubaidi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Materials.

In The Last Decade

Balázs Harangi

50 papers receiving 906 citations

Hit Papers

align trajectories sort by overperformance

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.

Skin lesion classification with ensembles of deep convolutional neural networks

2018 299 citations Balázs Harangi profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Balázs Harangi Hungary	14	469	367	331	320	301	51	948
Ali Mohammad Alqudah Jordan	21	415 0.9×	418 1.1×	242 0.7×	162 0.5×	79 0.3×	64	1.2k
Sertan Serte Cyprus	15	733 1.6×	447 1.2×	263 0.8×	106 0.3×	139 0.5×	36	1.0k
Irene Fondón Spain	16	250 0.5×	408 1.1×	224 0.7×	526 1.6×	140 0.5×	32	936
Adrián Colomer Spain	16	440 0.9×	323 0.9×	293 0.9×	114 0.4×	226 0.8×	56	796
Rahil Garnavi Australia	20	558 1.2×	486 1.3×	454 1.4×	564 1.8×	319 1.1×	52	1.4k
P. C. Siddalingaswamy India	12	216 0.5×	223 0.6×	165 0.5×	244 0.8×	114 0.4×	34	538
Walaa Gouda Saudi Arabia	10	163 0.3×	267 0.7×	104 0.3×	209 0.7×	41 0.1×	16	501
Hiam Alquran Jordan	15	257 0.5×	358 1.0×	105 0.3×	122 0.4×	31 0.1×	71	816
Peyman Hosseinzadeh Kassani United States	10	219 0.5×	222 0.6×	171 0.5×	128 0.4×	83 0.3×	13	513
K. Gopalakrishna Prabhu India	16	179 0.4×	147 0.4×	181 0.5×	180 0.6×	107 0.4×	40	728

Countries citing papers authored by Balázs Harangi

Since Specialization

Citations

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

Fields of papers citing papers by Balázs Harangi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Harangi

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

All Works

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20 of 20 papers shown

Priksz, Dániel, et al.. (2025). AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies. Sensors. 25(5). 1564–1564. 1 indexed citations

Fadhel, Mohammed A., et al.. (2024). Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors. 24(8). 2461–2461. 28 indexed citations

Hajdú, András, et al.. (2024). Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks. Sensors. 24(9). 2926–2926. 3 indexed citations

Hajdú, András, et al.. (2024). Annotated Pap cell images and smear slices for cell classification. Scientific Data. 11(1). 743–743. 5 indexed citations

Harangi, Balázs, et al.. (2024). Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification. Mathematics. 12(6). 806–806. 7 indexed citations

Harangi, Balázs, et al.. (2024). A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews. Big Data and Cognitive Computing. 8(3). 20–20. 1 indexed citations

Csernátony, Zoltán, et al.. (2023). Comparative Analysis of Bone Ingrowth in 3D-Printed Titanium Lattice Structures with Different Patterns. Materials. 16(10). 3861–3861. 10 indexed citations

Harangi, Balázs, et al.. (2023). Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation. 712–715. 1 indexed citations

Harangi, Balázs, Ágnes Baran, & András Hajdú. (2020). Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support. Biomedical Signal Processing and Control. 62. 102041–102041. 55 indexed citations

10.

Burai, Péter, et al.. (2018). Segmentation of the uterine wall by an ensemble of fully convolutional neural networks. PubMed. 2018. 49–52. 6 indexed citations

11.

Harangi, Balázs, Ágnes Baran, & András Hajdú. (2018). Classification Of Skin Lesions Using An Ensemble Of Deep Neural Networks. PubMed. 2018. 2575–2578. 55 indexed citations

12.

Harangi, Balázs, János Tóth, & András Hajdú. (2018). Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images. PubMed. 2018. 3705–3708. 17 indexed citations

13.

Harangi, Balázs, András Hajdú, Rudolf Lampé, & Péter Török. (2017). Recognizing Ureter and Uterine Artery in Endoscopic Images Using a Convolutional Neural Network. 11 indexed citations

14.

Hajdú, András, Balázs Harangi, István Lázár, et al.. (2016). Measuring regularity of network patterns by grid approximations using the LLL algorithm. University of Debrecen Electronic Archive (University of Debrecen). 1524–1529. 3 indexed citations

15.

Harangi, Balázs & András Hajdú. (2016). Exudate detection in fundus images using active contour methods and region-wise classification. 177–206. 1 indexed citations

16.

Harangi, Balázs & András Hajdú. (2015). Detection of the optic disc in fundus images by combining probability models. Computers in Biology and Medicine. 65. 10–24. 23 indexed citations

17.

Harangi, Balázs, et al.. (2015). Automatic optic disc and optic cup detection in retinal images acquired by mobile phone. University of Debrecen Electronic Archive (University of Debrecen). 193–198. 9 indexed citations

18.

Harangi, Balázs, István Lázár, & András Hajdú. (2012). Automatic exudate detection using active contour model and regionwise classification. PubMed. 2012. 5951–5954. 28 indexed citations

19.

Nagy, Brigitta, Balázs Harangi, Bálint Antal, & András Hajdú. (2011). Ensemble-based exudate detection in color fundus images. University of Debrecen Electronic Archive (University of Debrecen). 700–703. 9 indexed citations

20.

Harangi, Balázs, et al.. (2011). Detecting the excessive activation of the ciliaris muscle on thermal images. University of Debrecen Electronic Archive (University of Debrecen). 329–331. 5 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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