Dipankar Das

925 total citations
51 papers, 553 citations indexed

About

Dipankar Das is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Human-Computer Interaction. According to data from OpenAlex, Dipankar Das has authored 51 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 14 papers in Social Psychology and 13 papers in Human-Computer Interaction. Recurrent topics in Dipankar Das's work include Gaze Tracking and Assistive Technology (12 papers), Social Robot Interaction and HRI (10 papers) and Visual Attention and Saliency Detection (8 papers). Dipankar Das is often cited by papers focused on Gaze Tracking and Assistive Technology (12 papers), Social Robot Interaction and HRI (10 papers) and Visual Attention and Saliency Detection (8 papers). Dipankar Das collaborates with scholars based in Bangladesh, Japan and India. Dipankar Das's co-authors include Sivaji Bandyopadhyay, Erik Cambria, Antonio Feraco, Yoshinori Kuno, Yoshinori Kobayashi, Anup Kumar Paul, Mohammed Moshiul Hoque, Jun Miura, Niloy Mukherjee and Braja Gopal Patra and has published in prestigious journals such as IEEE Access, Machine Vision and Applications and IEEE Transactions on Human-Machine Systems.

In The Last Decade

Dipankar Das

43 papers receiving 520 citations

Peers

Dipankar Das
Pascal Wiggers Netherlands
Veton Këpuska United States
Matthew Marge United States
Kleomenis Katevas United Kingdom
Bernhard Suhm United States
Pascal Wiggers Netherlands
Dipankar Das
Citations per year, relative to Dipankar Das Dipankar Das (= 1×) peers Pascal Wiggers

Countries citing papers authored by Dipankar Das

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Das. A scholar is included among the top collaborators of Dipankar 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 Dipankar Das. Dipankar Das 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
2.
Tomari, Razali, et al.. (2024). Deep Learning Model for Enhancing Automated Recycling Machine with Incentive Mechanisms. International Journal of Advanced Computer Science and Applications. 15(8). 1 indexed citations
3.
Das, Dipankar, et al.. (2024). RAJUNI: Design and Implementation of an Autonomous Cooking Robot. 1880–1885.
5.
Das, Dipankar, et al.. (2023). 3D Mapping for a Large Crane Using Rotating 2D-Lidar and IMU Attached to the Crane Boom. IEEE Access. 11. 21104–21116. 6 indexed citations
7.
Das, Dipankar, et al.. (2022). Dual Attentional Higher Order Factorization Machines. 378–388. 3 indexed citations
9.
Alam, M. S., et al.. (2019). Bluetooth Network Based Remote Controlled Home Automation System. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). 1–6. 9 indexed citations
10.
Acharjee, Uzzal Kumar, et al.. (2019). Human Detection Based on HOG-LBP for Monitoring Sterile Zone. 1–6. 2 indexed citations
11.
Hauptmann, Alexander G., Mingyu Chen, Michael G. Christel, et al.. (2018). Multi-Lingual Broadcast News Retrieval. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
12.
Das, Dipankar, et al.. (2017). Detection and controlling of drivers' visual focus of attention. 301–307. 2 indexed citations
13.
Das, Dipankar. (2014). Activity Recognition Using Histogram of Oriented Gradient Pattern History. 4(4). 23–31. 5 indexed citations
14.
Das, Dipankar, et al.. (2014). Recognizing gaze pattern for human robot interaction. 142–143. 5 indexed citations
15.
Das, Dipankar, Mohammed Moshiul Hoque, Yoshinori Kobayashi, & Yoshinori Kuno. (2013). Attention control system considering the target person's attention level. Human-Robot Interaction. 111–112. 4 indexed citations
16.
Das, Dipankar, Yoshinori Kobayashi, & Yoshinori Kuno. (2013). Attracting attention and establishing a communication channel based on the level of visual focus of attention. 2194–2201. 9 indexed citations
17.
Hoque, Mohammed Moshiul, et al.. (2012). Model for controlling a target human's attention in multi-party settings. 476–483. 4 indexed citations
18.
Das, Dipankar, Yoshinori Kobayashi, & Yoshinori Kuno. (2009). A Hybrid Model for Multiple Object Category Detection and Localization.. Machine Vision and Applications. 431–434. 2 indexed citations
19.
Das, Dipankar, Yoshinori Kobayashi, & Yoshinori Kuno. (2009). Multiple object detection and localization using range and color images for service robots. 2009 ICCAS-SICE. 3485–3489. 3 indexed citations
20.
Paul, Anup Kumar, et al.. (2009). Bangla Speech Recognition System Using LPC and ANN. 171–174. 63 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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