ScholarIQanswers from OpenAlex & ORCID
Robertas Damaševičius
ResearcherPublications, citations & collaboration network
Robertas Damaševičius is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does Robertas Damaševičius have?
ScholarIQindexed works
Robertas Damaševičius has 789 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Robertas Damaševičius have?
ScholarIQcitation count
Robertas Damaševičius has 24,121 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of Robertas Damaševičius?
ScholarIQh-index
Robertas Damaševičius has an h-index of 82 in OpenAlex.
What is the i10-index of Robertas Damaševičius?
ScholarIQi10-index
Robertas Damaševičius has an i10-index of 428 in OpenAlex.
What is the ORCID of Robertas Damaševičius?
ScholarIQorcid
The ORCID for Robertas Damaševičius is on the source record.
What is the OpenAlex record for Robertas Damaševičius?
ScholarIQopenalex
The OpenAlex for Robertas Damaševičius is on the source record.
What are the most-cited papers on Robertas Damaševičius?
ScholarIQmost cited works
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, Robertas Damaševičius, Rafał Scherer, Amjad Rehman, Syed Ahmad Chan Bukhari
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, Yudong Zhang, Ameer Hamza, Artūras Mickus, Robertas Damaševičius
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, Robertas Damaševičius, Rytis Maskeliūnas
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
J. Hemalatha, S. Abijah Roseline, S. Geetha, Seifedine Kadry, Robertas Damaševičius
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, Bhisham Sharma, Mazin Abed Mohammed, Robertas Damaševičius, Seifedine Kadry, Korhan Cengiz