Debraj De

988 total citations
26 papers, 717 citations indexed

About

Debraj De is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Transportation. According to data from OpenAlex, Debraj De has authored 26 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Transportation. Recurrent topics in Debraj De's work include Context-Aware Activity Recognition Systems (9 papers), Human Mobility and Location-Based Analysis (9 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Debraj De is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Human Mobility and Location-Based Analysis (9 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Debraj De collaborates with scholars based in United States, China and South Korea. Debraj De's co-authors include Sajal K. Das, Wen‐Zhan Song, Sriram Chellappan, Pratool Bharti, Junjie Yang, Song Tan, Praneeth Vepakomma, Shekhar Bhansali, Amith R. Mamidala and Rahul Kumar and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Knowledge-Based Systems and IEEE Transactions on Mobile Computing.

In The Last Decade

Debraj De

23 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Debraj De United States 10 326 297 200 161 143 26 717
Jochen Seitz Germany 17 479 1.5× 110 0.4× 626 3.1× 124 0.8× 137 1.0× 107 1.1k
Victor Kathan Sarker Finland 10 360 1.1× 311 1.0× 167 0.8× 95 0.6× 103 0.7× 14 753
Dritan Kaleshi United Kingdom 14 562 1.7× 142 0.5× 574 2.9× 264 1.6× 97 0.7× 72 1.0k
Chien‐Liang Fok United States 14 681 2.1× 203 0.7× 136 0.7× 164 1.0× 87 0.6× 36 1.0k
Deokjai Choi South Korea 20 404 1.2× 410 1.4× 323 1.6× 35 0.2× 237 1.7× 94 1.1k
Yijie Xun China 13 285 0.9× 88 0.3× 272 1.4× 57 0.4× 165 1.2× 33 629
Faisal Hussain Pakistan 19 728 2.2× 204 0.7× 148 0.7× 84 0.5× 320 2.2× 47 1.0k
Eduardo Souto Brazil 18 522 1.6× 414 1.4× 212 1.1× 19 0.1× 198 1.4× 76 1.0k
Yuming Ge China 13 339 1.0× 82 0.3× 431 2.2× 206 1.3× 95 0.7× 52 778
A. Gökhan Yavuz Türkiye 11 492 1.5× 124 0.4× 237 1.2× 57 0.4× 278 1.9× 34 894

Countries citing papers authored by Debraj De

Since Specialization
Citations

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

Fields of papers citing papers by Debraj De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debraj De

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

All Works

20 of 20 papers shown
3.
De, Debraj, et al.. (2024). MetaPoL: Immersive VR based Indoor Patterns of Life (PoL) and Anomalies Data Generation for Insider Threat Modeling in Nuclear Security. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 255–258. 2 indexed citations
4.
De, Debraj, et al.. (2024). DICER: Data Intensive Computing Environment and Runtime for Evaluating Unprecedented Scale of Geospatial-Temporal Human Mobility Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 139–148. 3 indexed citations
5.
De, Debraj, et al.. (2024). A Visual Analytic Platform for Interactive Validation of Human Mobility Simulations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10.
6.
Tuccillo, Joe, et al.. (2024). HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 185–194. 5 indexed citations
7.
De, Debraj, et al.. (2022). Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 458–463. 1 indexed citations
8.
De, Debraj, et al.. (2021). Conflation of Geospatial POI Data and Ground-level Imagery via Link Prediction on Joint Semantic Graph. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5–8. 2 indexed citations
9.
De, Debraj, et al.. (2021). Alz-Sense: A Novel Non-invasive Pre-clinical Testing to Differentiate Dementia from MCI. 7. 1–6. 1 indexed citations
10.
Bharti, Pratool, Debraj De, Sriram Chellappan, & Sajal K. Das. (2018). HuMAn: Complex Activity Recognition with Multi-Modal Multi-Positional Body Sensing. IEEE Transactions on Mobile Computing. 18(4). 857–870. 78 indexed citations
11.
Tan, Song, Debraj De, Wen‐Zhan Song, Junjie Yang, & Sajal K. Das. (2016). Survey of Security Advances in Smart Grid: A Data Driven Approach. IEEE Communications Surveys & Tutorials. 19(1). 397–422. 181 indexed citations
12.
De, Debraj & Sajal K. Das. (2015). SREE-Tree: self-reorganizing energy-efficient tree topology management in sensor networks. 1–8. 4 indexed citations
13.
De, Debraj, Pratool Bharti, Sajal K. Das, & Sriram Chellappan. (2015). Small Wearable Internet Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare. 1 indexed citations
14.
De, Debraj, Pratool Bharti, Sajal K. Das, & Sriram Chellappan. (2015). Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare. IEEE Internet Computing. 19(5). 26–35. 98 indexed citations
15.
Song, Wen‐Zhan, Mingsen Xu, Debraj De, et al.. (2014). ECPC. ACM Transactions on Sensor Networks. 11(2). 1–22. 2 indexed citations
16.
Wang, Chengliang, et al.. (2014). Distributed Abnormal Activity Detection in Smart Environments. International Journal of Distributed Sensor Networks. 10(5). 283197–283197. 6 indexed citations
17.
Wang, Chengliang, et al.. (2014). DCTP: Data collecting based on trajectory prediction in Smart Environment. 93–98. 3 indexed citations
18.
De, Debraj, Wen‐Zhan Song, Mingsen Xu, et al.. (2012). FindingHuMo: Real-Time Tracking of Motion Trajectories from Anonymous Binary Sensing in Smart Environments. 163–172. 30 indexed citations
19.
Wang, Chengliang, Debraj De, & Wen‐Zhan Song. (2012). Trajectory mining from anonymous binary motion sensors in Smart Environment. Knowledge-Based Systems. 37. 346–356. 15 indexed citations
20.
Yang, Xiaogang, Wen‐Zhan Song, & Debraj De. (2011). Live Web: A sensorweb portal for sensing the world in real-time. Tsinghua Science & Technology. 16(5). 491–504. 7 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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