Tomas Krilavičius

1.4k total citations
78 papers, 835 citations indexed

About

Tomas Krilavičius is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Tomas Krilavičius has authored 78 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 10 papers in Computer Networks and Communications. Recurrent topics in Tomas Krilavičius's work include Formal Methods in Verification (9 papers), Imbalanced Data Classification Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Tomas Krilavičius is often cited by papers focused on Formal Methods in Verification (9 papers), Imbalanced Data Classification Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Tomas Krilavičius collaborates with scholars based in Lithuania, China and Netherlands. Tomas Krilavičius's co-authors include Robertas Damaševičius, Rytis Maskeliūnas, Modupe Odusami, Mohamed Abd Elaziz, Ka Lok Man, Mohammed A. A. Al‐qaness, Ibrahim Aljarah, Ruba Abu Khurma, Ahmad Sharieh and Shaoran Ren and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Tomas Krilavičius

68 papers receiving 776 citations

Peers

Countries citing papers authored by Tomas Krilavičius

Since Specialization

Citations

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

Fields of papers citing papers by Tomas Krilavičius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Krilavičius

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

#	Work	Indexed citations
1	The comparison of the dynamics of Ca2+ and bleomycin intracellular delivery after cell sonoporation and electroporation in vitro 2024 ·Bioelectrochemistry ·(unknown), (unknown), (unknown), Renaldas Raišutis, (unknown), Tomas Krilavičius, Saulius Šatkauskas	1
2	Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study 2023 ·JMIR Research Protocols ·(unknown), (unknown), (unknown), (unknown), (unknown), Arturas Inčiūra, (unknown), (unknown), Ričardas Krikštolaitis, Tomas Krilavičius, Elona Juozaitytė, Adomas Bunevičius	1
3	Enhancing Forest Security through Advanced Surveillance Applications 2023 ·Forests ·(unknown), Tomas Krilavičius, Rytis Maskeliūnas	1
4	Systematic Review of Financial Distress Identification using Artificial Intelligence Methods 2022 ·Applied Artificial Intelligence ·(unknown), Tomas Krilavičius, Robertas Damaševičius, Rytis Maskeliūnas	27
5	Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning 2022 ·Sensors ·(unknown), (unknown), Tomas Krilavičius, Rytis Maskeliūnas, Robertas Damaševičius	5
6	Auto-Refining 3D Mesh Reconstruction Algorithm From Limited Angle Depth Data 2022 ·IEEE Access ·(unknown), Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius	1
7	Reply to Nicholas et al. Using a ResNet-18 Network to Detect Features of Alzheimer’s Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on “Odusami et al. Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. Diagnostics 2021, 11, 1071” 2022 ·Diagnostics ·Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius	1
8	A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem 2022 ·Mathematics ·Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh, Mohamed Abd Elaziz, Robertas Damaševičius, Tomas Krilavičius	90
9	Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting 2021 ·Processes ·Ayman Mutahar AlRassas, Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Shaoran Ren, Mohamed Abd Elaziz, Robertas Damaševičius, Tomas Krilavičius	93
10	Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network 2021 ·Diagnostics ·Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius	159
11	A Novel Hybrid Gradient-Based Optimizer and Grey Wolf Optimizer Feature Selection Method for Human Activity Recognition Using Smartphone Sensors 2021 ·Entropy ·Ahmed M. Helmi, Mohammed A. A. Al‐qaness, Abdelghani Dahou, Robertas Damaševičius, Tomas Krilavičius, Mohamed Abd Elaziz	61
12	Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome 2021 ·International Journal of Environmental Research and Public Health ·(unknown), Rokas Navickas, Aleksandras Laucevičius, Tomas Krilavičius, (unknown), Monika Zdanytė, Ligita Ryliškytė, (unknown), Paul Holvoet	21
13	Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination 2020 ·Sensors ·(unknown), Vidas Raudonis, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius	35
14	A Mobile Application for Smart Computer-Aided Self-Administered Testing of Cognition, Speech, and Motor Impairment 2020 ·Sensors ·(unknown), Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius	27
15	Automated Analysis of the Content of Selected Open Access Internet Sources as a Tool for Government Decision Making 2017 ·Baltic Journal of Modern Computing ·Vladislav V. Fomin, Tomas Krilavičius, Vytautas Mickevičius, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
16	Hybrid approach for automatic identification of multi-word expressions in Lithuanian 2016 ·Vytautas Magnus University ·Justina Mandravickaitė, (unknown), Tomas Krilavičius	2
17	Monocular line tracking for the reduction of vibration induced during image acquisition 2015 ·Journal of Vibroengineering ·(unknown), Ka Lok Man, Hai‐Ning Liang, Sheng-Uei Guan, Tomas Krilavičius	7
18	Simulation of Mechatronic Systems using Behavioural Hybrid Process Calculus 2008 ·Elektronika ir Elektrotechnika ·Tomas Krilavičius	1
19	Study of Tools Interoperability 2007 ·University of Twente Research Information ·Tomas Krilavičius	2
20	A process algebraic approach to hybrid systems 2005 ·TU/e Research Portal ·Ed Brinksma, Tomas Krilavičius, (unknown)	1

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.

Explore authors with similar magnitude of impact