Barnan Das
Impact in
-
- Context-Aware Activity Recognition Systems
- Transportation top 5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Context-Aware Activity Recognition Systems 12
-
- Anomaly Detection Techniques and Applications 6
- Imbalanced Data Classification Techniques 5
- Data Stream Mining Techniques 4
- Co-authors
- Diane J. Cook (16 shared papers)Narayanan C. Krishnan (7 shared papers)Brian L. Thomas (3 shared papers)Stefan Dernbach (1 shared paper)Maureen Schmitter‐Edgecombe (5 shared papers)Chao Chen (3 shared papers)Adriana Seelye (3 shared papers)Lawrence B. Holder (1 shared paper)
- Journals
- Personal and Ubiquitous Computing (1 paper)IEEE Reviews in Biomedical Engineering (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Barnan Das
16 papers receiving 770 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 492
- Transportation 93
- Artificial Intelligence 259
- Computer Networks and Communications 165
- Demography 80
Countries citing papers authored by Barnan Das
This map shows the geographic impact of Barnan 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 Barnan Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barnan Das more than expected).
Fields of papers citing papers by Barnan Das
This network shows the impact of papers produced by Barnan 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 Barnan Das. The network helps show where Barnan Das may publish in the future.
Co-authors
The 12 scholars most cited alongside Barnan Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 263 | |
| 2 | 2014 | 107 | |
| 3 | 2012 | 77 | |
| 4 | 2016 | 58 | |
| 5 | 2010 | 57 | |
| 6 | 2010 | 50 | |
| 7 | 2011 | 30 | |
| 8 | 2013 | 30 | |
| 9 | 2012 | 29 | |
| 10 | Energy Prediction Based on Resident's Activity | 2010 | 25 |
| 11 | 2014 | 23 | |
| 12 | 2011 | 15 | |
| 13 | 2010 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2012 | 7 | |
| 16 | 2012 | 5 | |
| 17 | 2001 | 1 | |
| 18 | Machine Learning Challenges For Automated Prompting In Smart Homes | 2014 | 0 |
About Barnan Das
Barnan Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Demography, having authored 18 papers that have together received 798 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Anomaly Detection Techniques and Applications (6 papers), Imbalanced Data Classification Techniques (5 papers), IoT and Edge/Fog Computing (4 papers), Technology Use by Older Adults (4 papers), Data Stream Mining Techniques (4 papers), IoT-based Smart Home Systems (4 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (492 citations), Transportation (93 citations), Artificial Intelligence (259 citations), Computer Networks and Communications (165 citations) and Demography (80 citations). Barnan Das has collaborated with scholars based in United States and India. Frequent co-authors include Diane J. Cook, Narayanan C. Krishnan, Brian L. Thomas, Stefan Dernbach, Maureen Schmitter‐Edgecombe, Chao Chen, Adriana Seelye, Lawrence B. Holder, Ehsan Nazerfard and Adriana Seelye. Their work appears in journals such as Personal and Ubiquitous Computing, IEEE Reviews in Biomedical Engineering, IEEE Transactions on Knowledge and Data Engineering, IEEE Journal of Selected Topics in Signal Processing and Lecture notes in computer science.
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.