Barnan Das

939 total citations
15 papers, 663 citations indexed

About

Barnan Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Barnan Das has authored 15 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Barnan Das's work include Context-Aware Activity Recognition Systems (10 papers), Anomaly Detection Techniques and Applications (5 papers) and IoT and Edge/Fog Computing (4 papers). Barnan Das is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Anomaly Detection Techniques and Applications (5 papers) and IoT and Edge/Fog Computing (4 papers). Barnan Das collaborates with scholars based in United States and India. Barnan Das's co-authors include Diane J. Cook, Narayanan C. Krishnan, Brian L. Thomas, Stefan Dernbach, Maureen Schmitter‐Edgecombe, Chao Chen, Adriana Seelye, Ehsan Nazerfard, Lawrence B. Holder and Adriana Seelye and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Journal of Selected Topics in Signal Processing and Personal and Ubiquitous Computing.

In The Last Decade

Barnan Das

13 papers receiving 636 citations

Peers

Barnan Das
Eunju Kim South Korea
Aaron S. Crandall United States
Diane J. Cook United States
Gabriele Civitarese Italy
Danny Wyatt United States
A. Noulas Netherlands
Niall Twomey United Kingdom
Michel Vacher France
Bessam Abdulrazak Canada
Rim Helaoui Italy
Eunju Kim South Korea
Barnan Das
Citations per year, relative to Barnan Das Barnan Das (= 1×) peers Eunju Kim

Countries citing papers authored by Barnan Das

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Barnan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Barnan Das. A scholar is included among the top collaborators of Barnan Das 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 Barnan Das. Barnan Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Das, Barnan, Diane J. Cook, Narayanan C. Krishnan, & Maureen Schmitter‐Edgecombe. (2016). One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes. IEEE Journal of Selected Topics in Signal Processing. 10(5). 914–923. 57 indexed citations
2.
Das, Barnan, Narayanan C. Krishnan, & Diane J. Cook. (2014). RACOG and wRACOG: Two Probabilistic Oversampling Techniques. IEEE Transactions on Knowledge and Data Engineering. 27(1). 222–234. 99 indexed citations
3.
Das, Barnan. (2014). Machine Learning Challenges For Automated Prompting In Smart Homes. Research Exchange (Washington State University).
4.
Das, Barnan, Narayanan C. Krishnan, & Diane J. Cook. (2013). wRACOG: A Gibbs Sampling-Based Oversampling Technique. 111–120. 9 indexed citations
5.
Das, Barnan, Narayanan C. Krishnan, & Diane J. Cook. (2013). Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes. 266–273. 24 indexed citations
6.
Seelye, Adriana, Maureen Schmitter‐Edgecombe, Barnan Das, & Diane J. Cook. (2012). Application of Cognitive Rehabilitation Theory to the Development of Smart Prompting Technologies. IEEE Reviews in Biomedical Engineering. 5. 29–44. 62 indexed citations
7.
Das, Barnan, et al.. (2012). Context-aware prompting from your smart phone. Zenodo (CERN European Organization for Nuclear Research). 56–57. 4 indexed citations
8.
Das, Barnan, et al.. (2012). Using smart phones for context-aware prompting in smart environments. Zenodo (CERN European Organization for Nuclear Research). 399–403. 27 indexed citations
9.
Dernbach, Stefan, Barnan Das, Narayanan C. Krishnan, Brian L. Thomas, & Diane J. Cook. (2012). Simple and Complex Activity Recognition through Smart Phones. 214–221. 229 indexed citations
10.
Das, Barnan, Diane J. Cook, Maureen Schmitter‐Edgecombe, & Adriana Seelye. (2011). PUCK: an automated prompting system for smart environments: toward achieving automated prompting—challenges involved. Personal and Ubiquitous Computing. 16(7). 859–873. 23 indexed citations
11.
Chen, Chao, Barnan Das, & Diane J. Cook. (2010). A Data Mining Framework for Activity Recognition in Smart Environments. 80–83. 43 indexed citations
12.
Chen, Chao, Barnan Das, & Diane J. Cook. (2010). Energy Prediction Based on Resident's Activity. 24 indexed citations
13.
Nazerfard, Ehsan, Barnan Das, Lawrence B. Holder, & Diane J. Cook. (2010). Conditional random fields for activity recognition in smart environments. 282–286. 53 indexed citations
14.
Das, Barnan, et al.. (2010). Automated Prompting in a Smart Home Environment. 16. 1045–1052. 8 indexed citations
15.
Das, Barnan, et al.. (2001). VRSEMLAB: A Low Cost Virtual Reality System to Illustrate Complex Concepts Involving Spatial Relationships. International Journal of Virtual Reality. 5(1). 157–166. 1 indexed citations

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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