Antanas Verikas

3.5k total citations · 1 hit paper
117 papers, 2.5k citations indexed

About

Antanas Verikas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Antanas Verikas has authored 117 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. Recurrent topics in Antanas Verikas's work include Industrial Vision Systems and Defect Detection (22 papers), Neural Networks and Applications (21 papers) and Voice and Speech Disorders (20 papers). Antanas Verikas is often cited by papers focused on Industrial Vision Systems and Defect Detection (22 papers), Neural Networks and Applications (21 papers) and Voice and Speech Disorders (20 papers). Antanas Verikas collaborates with scholars based in Lithuania, Sweden and United States. Antanas Verikas's co-authors include Marija Bačauskienė, Adas Gelžinis, Kerstin Malmqvist, Evaldas Vaičiukynas, Virgilijus Uloza, Arūnas Lipnickas, Jens Lundström, Cristofer Englund, Sławomir Nowaczyk and Viktoras Šaferis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Antanas Verikas

115 papers receiving 2.4k 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.

Mining data with random forests: A survey and results of new tests

2010 549 citations Antanas Verikas, Adas Gelžinis et al. profile →

Peers

Antanas Verikas

CVPR

PHYSI

Marija Bačauskienė Lithuania

Adas Gelžinis Lithuania

Abhishek Jain United States

Marko Robnik‐Šikonja Slovenia

Jun Wang United States

Patrick McSharry United Kingdom

Nicola L. C. Talbot United Kingdom

Martin F. Møller Denmark

Jason Van Hulse United States

Amri Napolitano United States

Marija Bačauskienė Lithuania

Antanas Verikas

772 ×0.8

297 ×0.7

CVPR

359 ×0.9

PHYSI

254 ×0.8

38 ×0.3

Citations per year, relative to Antanas Verikas Antanas Verikas (= 1×) peers Marija Bačauskienė

Countries citing papers authored by Antanas Verikas

Since Specialization

Citations

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

Fields of papers citing papers by Antanas Verikas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antanas Verikas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Šiaulys, Andrius, et al.. (2021). A fully-annotated imagery dataset of sublittoral benthic species in Svalbard, Arctic. SHILAP Revista de lepidopterología. 35. 106823–106823. 8 indexed citations

Verikas, Antanas, James Parker, Marija Bačauskienė, & M. Charlotte Olsson. (2017). Exploring relations between EMG and biomechanical data recorded during a golf swing. Expert Systems with Applications. 88. 109–117. 5 indexed citations

Vaičiukynas, Evaldas, Antanas Verikas, Adas Gelžinis, & Marija Bačauskienė. (2017). Detecting Parkinson’s disease from sustained phonation and speech signals. PLoS ONE. 12(10). e0185613–e0185613. 76 indexed citations

Vaičiukynas, Evaldas, Antanas Verikas, Adas Gelžinis, et al.. (2015). Towards Voice and Query Data-based Non-invasive Screening for Laryngeal Disorders. International Conference on Artificial Intelligence. 32–39. 1 indexed citations

Uloza, Virgilijus, Evaldas Padervinskis, Ingrida Ulozienė, Viktoras Šaferis, & Antanas Verikas. (2015). Combined Use of Standard and Throat Microphones for Measurement of Acoustic Voice Parameters and Voice Categorization. Journal of Voice. 29(5). 552–559. 5 indexed citations

Gelžinis, Adas, Antanas Verikas, Evaldas Vaičiukynas, et al.. (2015). Automatic detection and morphological delineation of bacteriophages in electron microscopy images. Computers in Biology and Medicine. 64. 101–116. 4 indexed citations

Uloza, Virgilijus, Evaldas Padervinskis, Rūta Pribuišienė, et al.. (2015). Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening. European Archives of Oto-Rhino-Laryngology. 272(11). 3391–3399. 62 indexed citations

Lundström, Jens & Antanas Verikas. (2011). System for assessing, exploring and monitoring offset print quality. International Conference on Circuits. 22(7). 28–33. 1 indexed citations

Verikas, Antanas, et al.. (2009). Using the patient's questionnaire data to screen laryngeal disorders. Computers in Biology and Medicine. 39(2). 148–155. 12 indexed citations

10.

Verikas, Antanas, et al.. (2009). An adaptive model simulating the somatic motility and the active hair bundle motion of the OHC. Computers in Biology and Medicine. 39(9). 800–809. 3 indexed citations

11.

Verikas, Antanas, et al.. (2009). Advances in laryngeal imaging. European Archives of Oto-Rhino-Laryngology. 266(10). 1509–1520. 39 indexed citations

12.

Gelžinis, Adas, Antanas Verikas, & Marija Bačauskienė. (2008). Automated speech analysis applied to laryngeal disease categorization. Computer Methods and Programs in Biomedicine. 91(1). 36–47. 79 indexed citations

13.

Verikas, Antanas, et al.. (2007). A kernel-based approach to categorizing laryngeal images. Computerized Medical Imaging and Graphics. 31(8). 587–594. 6 indexed citations

14.

Verikas, Antanas, et al.. (2007). Neural networks based screening of real estate transactions. Neural Network World. 17(1). 17–30. 4 indexed citations

15.

Verikas, Antanas, et al.. (2006). Image Analysis and Information Fusion Based Defect Detection in Particleboards. Elektronika ir Elektrotechnika. 71(7). 67–72. 7 indexed citations

16.

Verikas, Antanas, et al.. (2006). TRACKING OF DOUBTFUL REAL ESTATE TRANSACTIONS BY OUTLIER DETECTION METHODS: A COMPARATIVE STUDY. Information Technology And Control. 35(2). 10 indexed citations

17.

Verikas, Antanas, et al.. (2006). Multiple feature sets based categorization of laryngeal images. Computer Methods and Programs in Biomedicine. 85(3). 257–266. 26 indexed citations

18.

Verikas, Antanas, et al.. (2004). A multi-channel adaptive nonlinear filtering structure realizing some properties of the hearing system. Computers in Biology and Medicine. 35(6). 495–510. 3 indexed citations

19.

Verikas, Antanas, Marija Bačauskienė, & Kerstin Malmqvist. (2001). Selecting features with neural networks. International Conference on Neural Information Processing. 63–68. 1 indexed citations

20.

Verikas, Antanas, Kerstin Malmqvist, Marija Bačauskienė, & Arūnas Lipnickas. (1998). Soft Fusion of Neural Classifiers. International Conference on Neural Information Processing. 195–198. 1 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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