Arindam Das

2.1k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Arindam Das is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Arindam Das has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Arindam Das's work include Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Advanced Neural Network Applications (6 papers). Arindam Das is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (6 papers) and Advanced Neural Network Applications (6 papers). Arindam Das collaborates with scholars based in United States, India and Canada. Arindam Das's co-authors include Rafael Fierro, Vijay Kumar, J.P. Ostrowski, John Spletzer, Camillo J. Taylor, Senthil Yogamani, Ujjwal Bhattacharya, Sudip Das, B. Southall and Vijay Kumar and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Robotics and Automation.

In The Last Decade

Arindam Das

26 papers receiving 1.4k citations

Hit Papers

A vision-based formation control framework 2002 2026 2010 2018 2002 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A vision-based formation control framework
    2002 880 citations Arindam Das, Rafael Fierro et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arindam Das United States 11 996 752 570 404 361 30 1.5k
Luciano C. A. Pimenta Brazil 19 796 0.8× 707 0.9× 422 0.7× 606 1.5× 219 0.6× 70 1.4k
Savvas G. Loizou Greece 19 701 0.7× 896 1.2× 648 1.1× 346 0.9× 237 0.7× 58 1.4k
Zhiqiang Miao China 23 652 0.7× 671 0.9× 1.1k 1.9× 447 1.1× 199 0.6× 110 1.8k
John Spletzer United States 18 1.2k 1.2× 855 1.1× 626 1.1× 755 1.9× 410 1.1× 37 2.0k
Reza Ghabcheloo Finland 18 583 0.6× 505 0.7× 567 1.0× 469 1.2× 145 0.4× 74 1.3k
Alexandre S. Brandão Brazil 21 656 0.7× 896 1.2× 759 1.3× 705 1.7× 140 0.4× 128 1.6k
Lorenzo Pollini Italy 21 577 0.6× 476 0.6× 539 0.9× 893 2.2× 151 0.4× 131 1.5k
Patricio J. Cruz Ecuador 14 335 0.3× 443 0.6× 724 1.3× 420 1.0× 105 0.3× 42 1.1k
Takeshi Hatanaka Japan 16 758 0.8× 221 0.3× 440 0.8× 213 0.5× 205 0.6× 149 1.2k
Gian Luca Mariottini United States 17 364 0.4× 689 0.9× 330 0.6× 566 1.4× 115 0.3× 38 1.2k

Countries citing papers authored by Arindam Das

Since Specialization
Citations

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

Fields of papers citing papers by Arindam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arindam Das

This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Das. A scholar is included among the top collaborators of Arindam 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 Arindam Das. Arindam 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
1.
2.
Sharma, Sushil, Arindam Das, Ganesh Sistu, Mark Halton, & Ciarán Eising. (2024). BEVSeg2TP: Surround View Camera Bird’s-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction. 25–34. 4 indexed citations
3.
Das, Arindam, et al.. (2024). BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird’s-Eye-View. IEEE Access. 12. 132159–132174. 3 indexed citations
4.
Das, Arindam, et al.. (2023). UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. IEEE Access. 11. 87760–87774. 6 indexed citations
5.
Das, Arindam, et al.. (2022). Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15940–15950. 73 indexed citations
6.
Ghazi, Irfan Ahmad, et al.. (2020). Improved Design of IIR filter using Salp Swarm Algorithm. 1–5. 2 indexed citations
7.
Das, Arindam, et al.. (2019). Design of Real-time Semantic Segmentation Decoder for Automated Driving. 393–400. 1 indexed citations
8.
Roy, Saikat, Arindam Das, & Ujjwal Bhattacharya. (2016). Generalized stacking of layerwise-trained Deep Convolutional Neural Networks for document image classification. 1273–1278. 6 indexed citations
9.
Islam, Saiful, Arindam Das, Sandesh Gupta, & Phalguni Gupta. (2014). Data Hiding in Medical Images. Journal of Computers. 9(3). 2 indexed citations
10.
Das, Arindam & Wolfgang Stuerzlinger. (2013). Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory.. Cognitive Science. 35(35). 1 indexed citations
11.
Kuthirummal, Sujit, Arindam Das, & Supun Samarasekera. (2011). A graph traversal based algorithm for obstacle detection using lidar or stereo. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 12 indexed citations
12.
Das, Olivia & Arindam Das. (2008). Performability evaluation of mobile client-server systems. 2197–2201. 2 indexed citations
13.
Das, Arindam & Wolfgang Stuerzlinger. (2008). Modeling learning effects in mobile texting. 154–161. 2 indexed citations
14.
Fierro, Rafael & Arindam Das. (2004). Hybrid control of reconfigurable robot formations. 6. 4607–4612. 9 indexed citations
15.
Pereira, Guilherme A. S., Arindam Das, Vijay Kumar, & Mário F. M. Campos. (2004). Formation control with configuration space constraints. 3. 2755–2760. 26 indexed citations
16.
Das, Arindam, John Spletzer, Vijay Kumar, & Camillo J. Taylor. (2003). Ad hoc networks for localization and control. 3. 2978–2983. 44 indexed citations
17.
Fierro, Rafael, Arindam Das, Vijay Kumar, & J.P. Ostrowski. (2002). Hybrid control of formations of robots. 1. 157–162. 153 indexed citations
18.
McIsaac, Kenneth, Arindam Das, J.M. Esposito, & J.P. Ostrowski. (2002). A hierarchical, modal approach to hybrid systems control of autonomous robots. 2. 1020–1025. 2 indexed citations
19.
Das, Arindam, Rafael Fierro, Vijay Kumar, et al.. (2002). Real-time vision-based control of a nonholonomic mobile robot. 2. 1714–1719. 75 indexed citations
20.
Das, Arindam, et al.. (2000). Employing Omnidirectional Visual Control for Mobile Robotics.. ˜The œtechnology teacher. 59(5). 32–38. 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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