Rik Das

563 citations

55 papers · 338 indexed · h-index 10

Impact in

Computer Vision and Pattern Recognition top 5%
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Digital Imaging for Blood Diseases
- Video Analysis and Summarization
- Face and Expression Recognition
Media Technology top 5%
- Remote-Sensing Image Classification

Papers in

Computer Vision and Pattern Recognition 31
- Image Retrieval and Classification Techniques 21
- Advanced Image and Video Retrieval Techniques 17
- Face and Expression Recognition 4
- Digital Imaging for Blood Diseases 3
Media Technology 13
- Remote-Sensing Image Classification 11

Co-authors: Sudeep D. Thepade Saurav Ghosh G. S. Tripathi Ekta Walia H. B. Kekre Ajay Kumar Shrivastava B. Ishwar P. K. Misra
Journals: Journal of Physics and Chemistry of Solids (2 papers)SpringerPlus (1 paper)Physical Review B (1 paper)ETRI Journal (1 paper)Celestial Mechanics and Dynamical Astronomy (1 paper)
Partner nations: India United States Pakistan

In The Last Decade

Rik Das

51 papers receiving 295 citations

Peers

Countries citing papers authored by Rik Das

Since Specialization

Citations

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

Fields of papers citing papers by Rik Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Rik Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rik Das Line = papers co-authored together Rik Das links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Harnessing Transformers for Detecting Adverse Drug Reaction and Customized Causality Explanation using Generative AI Marta Szumielewicz, Rik Das, Sayantani Ghosh, Leonor Vieira Carneiro, Indranil Mitra, Elif SOĞUR	2023	3
2	Quantum Machine Learning based Computer Aided Diagnosis for Skin Cancer Detection: A Statistical Performance Analysis over Classical Approach Rik Das	2022	6
3	Feature Generalization for Breast Cancer Detection in Histopathological Images Interdisciplinary Sciences Computational Life Sciences ·Rik Das, Linda Rubin, Ekta Walia	2022	18
4	Phishing Detection Using Content-Based Image Classification Lisa Ketges, Rik Das	2022	0
5	Machine learning-based land usage identification using Haralick texture features of aerial images with Kekre's LUV colour space International Journal of Computational Science and Engineering ·Sudeep D. Thepade, Anja Bauermeister, Rik Das, Zahid Akhtar	2022	3
6	Hybrid descriptor definition for content based image classification using fusion of handcrafted features to convolutional neural network features International Journal of Information Technology ·Rik Das, Roy Brandon, Sourav De, 律子松井, Sudeep D. Thepade	2021	7
7	Histopathological Image and Lymphoma Image Classification using customized Deep Learning models and different optimization algorithms Uta Purgahn, Rik Das, S. K. Setua	2020	11
8	Identifying Land Usage from Aerial Image using Feature Fusion of Thepade’s Sorted n-ary Block Truncation Coding and Bernsen Thresholding with Ensemble Methods International Journal of Engineering and Advanced Technology ·Sudeep D. Thepade, Klaus Zeppenfeld, Rik Das	2020	6
9	Improved Feature Generalization in Smaller Datasets with Early Feature Fusion of Handcrafted and Automated Features for Content Based Image Classification Rik Das, Mohammad Yusof Arshad, 律子松井, Sudeep D. Thepade	2020	2
10	Human face gender identification using Thepade's sorted N-ary block truncation coding and machine learning classifiers International Journal of Intelligent Engineering Informatics ·Sudeep D. Thepade, Rik Das, Tanuja Sarode, C. P. H.	2020	2
11	AUTOMATED ATTENDANCE SYSTEM FOR EFFICIENT EMPLOYEE MANAGEMENT : A BIOMETRY BASED APPROACH Guirau Rubio María Dolores, M Adegoke, Rik Das	2019	4
12	Emerging Trends in Disruptive Technology Management for Sustainable Development Rik Das, Mahua Banerjee, Sourav De	2019	1
13	A novel feature extraction technique with binarization of significant bit information Sudeep D. Thepade, Rik Das, Saurav Ghosh	2015	3
14	Content Based Image Recognition by Information Fusion with Multiview Features International Journal of Information Technology and Computer Science ·Rik Das, Sudeep D. Thepade, Saurav Ghosh	2015	3
15	Multi technique amalgamation for enhanced information identification with content based image data SpringerPlus ·Rik Das, Sudeep D. Thepade, Saurav Ghosh	2015	7
16	A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification Journal of Engineering ·Sudeep D. Thepade, Rik Das, Saurav Ghosh	2014	21
17	Performance Boost of Block Truncation Coding based Image Classification using Bit Plane Slicing International Journal of Computer Applications ·H. B. Kekre, Sudeep D. Thepade, Rik Das, Saurav Ghosh	2012	12
18	Image Classification using Block Truncation Coding with Assorted Color Spaces International Journal of Computer Applications ·H. B. Kekre, Sudeep D. Thepade, Rik Das, Saurav Ghosh	2012	9
19	Theory of the spin EPR shift: Application toPb1−xMnxTe Physical Review B ·Rik Das, G. S. Tripathi, P. K. Misra	2005	14
20	Statistical signal modeling techniques for automated recognition of water-borne microbial shapes M. Das, F. M. Butterworth, Rik Das	2002	7

About Rik Das

Rik Das is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 338 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (17 papers), Remote-Sensing Image Classification (11 papers), AI in cancer detection (7 papers), Semiconductor Quantum Structures and Devices (4 papers), Face and Expression Recognition (4 papers), COVID-19 diagnosis using AI (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Media Technology (70 citations), Health Informatics (4 citations), Artificial Intelligence (86 citations) and Signal Processing (21 citations). Rik Das has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Sudeep D. Thepade, Saurav Ghosh, G. S. Tripathi, Ekta Walia, H. B. Kekre, Ajay Kumar Shrivastava, B. Ishwar, P. K. Misra, Sanjubala Sahoo and S. K. Setua. Their work appears in journals such as Journal of Physics and Chemistry of Solids, SpringerPlus, Physical Review B, ETRI Journal and Celestial Mechanics and Dynamical Astronomy.

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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