Robertas Damaševičius

23.1k total citations · 11 hit papers
529 papers, 14.5k citations indexed

About

Robertas Damaševičius is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Robertas Damaševičius has authored 529 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Artificial Intelligence, 113 papers in Computer Vision and Pattern Recognition and 80 papers in Information Systems. Recurrent topics in Robertas Damaševičius's work include AI in cancer detection (38 papers), COVID-19 diagnosis using AI (31 papers) and Brain Tumor Detection and Classification (27 papers). Robertas Damaševičius is often cited by papers focused on AI in cancer detection (38 papers), COVID-19 diagnosis using AI (31 papers) and Brain Tumor Detection and Classification (27 papers). Robertas Damaševičius collaborates with scholars based in Lithuania, Poland and India. Robertas Damaševičius's co-authors include Rytis Maskeliūnas, Sanjay Misra, Marcin Woźniak, Muhammad Attique Khan, Sarmad Maqsood, Mazin Abed Mohammed, Tomas Blažauskas, Seifedine Kadry, Vytautas Štuikys and Mohamed Abd Elaziz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Robertas Damaševičius

497 papers receiving 13.9k citations

Hit Papers

5 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.

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

2020 481 citations Robertas Damaševičius et al. profile →
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

2020 306 citations Muhammad Attique Khan, Majed Alhaisoni et al. Diagnostics profile →
Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model

2021 203 citations Mazin Abed Mohammed, Robertas Damaševičius et al. profile →
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion

2022 191 citations Muhammad Attique Khan, Majed Alhaisoni et al. profile →
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization

2021 191 citations Muhammad Attique Khan, Robertas Damaševičius et al. Diagnostics profile →
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM

2022 175 citations Sarmad Maqsood, Robertas Damaševičius et al. profile →
An Efficient DenseNet-Based Deep Learning Model for Malware Detection

2021 171 citations Seifedine Kadry, Robertas Damaševičius et al. profile →
Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

2021 165 citations Robertas Damaševičius et al. Diagnostics profile →
Serious Games and Gamification in Healthcare: A Meta-Review

2023 95 citations Robertas Damaševičius, Rytis Maskeliūnas et al. profile →
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare

2023 87 citations Sarmad Maqsood, Robertas Damaševičius Neural Networks profile →
Virtual Worlds for Learning in Metaverse: A Narrative Review

2024 42 citations Robertas Damaševičius et al. Sustainability profile →

Peers

Countries citing papers authored by Robertas Damaševičius

Since Specialization

Citations

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

Fields of papers citing papers by Robertas Damaševičius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robertas Damaševičius

This figure shows the co-authorship network connecting the top 25 collaborators of Robertas Damaševičius. A scholar is included among the top collaborators of Robertas Damaševičius 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 Robertas Damaševičius. Robertas Damaševičius 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	Patterns in Heuristic Optimization Algorithms: A Comprehensive Analysis 2025 ·Computers, materials & continua/Computers, materials & continua (Print) ·Robertas Damaševičius	1
2	Acoustic feature-based emotion recognition and curing using ensemble learning and CNN 2024 ·Applied Soft Computing ·(unknown), Abdul Quadir, G. Sakthivel, (unknown), Senthilkumar Mohan, Robertas Damaševičius	1
3	Virtual Worlds for Learning in Metaverse: A Narrative Review breakdown → 2024 ·Sustainability ·Robertas Damaševičius, (unknown)	42
4	Enhanced threat intelligence framework for advanced cybersecurity resilience 2024 ·Egyptian Informatics Journal ·Moutaz Alazab, Ruba Abu Khurma, M. G. Arenas, (unknown), (unknown), Robertas Damaševičius	7
5	Optimizing infectious disease diagnostics through AI-driven hybrid decision making structures based on image analysis 2024 ·International Journal of Applied Mathematics and Computer Science ·Muhammad Ahsan, Robertas Damaševičius, (unknown)	0
6	Sentiment polarity analysis of love letters: Evaluation of TextBlob, Vader, Flair, and Hugging Face transformer 2024 ·Computer Science and Information Systems ·Gaganpreet Kaur, (unknown), (unknown), Robertas Damaševičius	2
7	Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare breakdown → 2023 ·Neural Networks ·Sarmad Maqsood, Robertas Damaševičius	87
8	Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks 2023 ·Journal of Personalized Medicine ·(unknown), Mohammed Hasan Ali, Mustafa Musa Jaber, Tanzila Saba, Amjad Rehman, Robertas Damaševičius	84
9	Phishing Detection in Blockchain Transaction Networks Using Ensemble Learning 2023 ·SHILAP Revista de lepidopterología ·Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo, Robertas Damaševičius, Sanjay Misra	11
10	SkinNet-INIO: Multiclass Skin Lesion Localization and Classification Using Fusion-Assisted Deep Neural Networks and Improved Nature-Inspired Optimization Algorithm 2023 ·Diagnostics ·(unknown), Muhammad Attique Khan, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood	40
11	FruitQ: a new dataset of multiple fruit images for freshness evaluation 2023 ·Multimedia Tools and Applications ·Olusola Abayomi‐Alli, Robertas Damaševičius, Sanjay Misra, Adebayo Abayomi‐Alli	17
12	Deep learning solutions for service-enabled systems and applications in Internet of Things 2023 ·Service Oriented Computing and Applications ·M. Irfan Uddin, Robertas Damaševičius, Hossein Jafari	3
13	Smartphone-Based Voice Wellness Index Application for Dysphonia Screening and Assessment: Development and Reliability 2023 ·Journal of Voice ·Virgilijus Uloza, (unknown), (unknown), (unknown), Ingrida Ulozienė, Tomas Blažauskas, Robertas Damaševičius, Rytis Maskeliūnas	6
14	LSTM-SN: complex text classifying with LSTM fusion social network 2023 ·The Journal of Supercomputing ·Wei Wei, (unknown), (unknown), Linfeng Li, Robertas Damaševičius, Rafał Scherer	5
15	Artificial Intelligence Techniques in Economic Analysis 2023 ·Robertas Damaševičius	7
16	Pneumonia Detection in Chest X-ray using InceptionV3 and Multi-Class Classification 2022 ·2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) ·V. Rajinikanth, Seifedine Kadry, Robertas Damaševičius, (unknown), Mazin Abed Mohammed, (unknown)	14
17	Real-time neural network based predictor for cov19 virus spread 2020 ·PLoS ONE ·Michał Wieczorek, Jakub Siłka, Dawid Połap, Marcin Woźniak, Robertas Damaševičius	29
18	Advances in the Use of Educational Robots in Project-Based Teaching 2017 ·TEM Journal ·Robertas Damaševičius, (unknown), (unknown), Tomas Blažauskas	17
19	Meta-Programming and Model-Driven Meta-Program Development : Principles, Processes and Techniques 2013 ·Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Vytautas Štuikys, Robertas Damaševičius	11
20	Analysis of Software Design Artifacts for Socio-Technical Aspects 2007 ·Americanae (AECID Library) ·Robertas Damaševičius	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.

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