Santos Kumar Das

1.8k total citations
121 papers, 1.1k citations indexed

About

Santos Kumar Das is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Santos Kumar Das has authored 121 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Electrical and Electronic Engineering, 28 papers in Computer Vision and Pattern Recognition and 21 papers in Environmental Engineering. Recurrent topics in Santos Kumar Das's work include Optical Network Technologies (16 papers), Air Quality Monitoring and Forecasting (16 papers) and Advanced Optical Network Technologies (16 papers). Santos Kumar Das is often cited by papers focused on Optical Network Technologies (16 papers), Air Quality Monitoring and Forecasting (16 papers) and Advanced Optical Network Technologies (16 papers). Santos Kumar Das collaborates with scholars based in India, United States and Switzerland. Santos Kumar Das's co-authors include Korra Sathya Babu, K. Krishna Rani Samal, Umesh Chandra Pati, Rashmiranjan Nayak, Poonam Singh, Sudhan Majhi, P.R. Deshmukh, Ashok Kumar Turuk, Mário Gerla and Sarat Kumar Patra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Santos Kumar Das

101 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santos Kumar Das India 16 289 288 286 252 200 121 1.1k
R.C. Luo United States 12 155 0.5× 195 0.7× 270 0.9× 194 0.8× 160 0.8× 26 1.2k
Wilmar Hernández Spain 19 115 0.4× 255 0.9× 136 0.5× 122 0.5× 240 1.2× 112 1.0k
Abdullah Kadri Qatar 22 340 1.2× 1.1k 3.9× 126 0.4× 328 1.3× 677 3.4× 61 2.2k
Olga Saukh Switzerland 15 560 1.9× 396 1.4× 93 0.3× 85 0.3× 656 3.3× 61 1.5k
Ying Cui China 22 435 1.5× 178 0.6× 176 0.6× 1.2k 4.8× 368 1.8× 59 2.7k
Lei Yu China 17 104 0.4× 149 0.5× 90 0.3× 128 0.5× 46 0.2× 87 925
Xiucheng Li China 11 161 0.6× 78 0.3× 258 0.9× 125 0.5× 60 0.3× 27 1.1k
Qi Liao China 20 176 0.6× 559 1.9× 156 0.5× 26 0.1× 161 0.8× 76 1.3k
Jiazheng Li China 7 172 0.6× 311 1.1× 179 0.6× 72 0.3× 20 0.1× 12 971

Countries citing papers authored by Santos Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Santos Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santos Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Santos Kumar Das. A scholar is included among the top collaborators of Santos Kumar 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 Santos Kumar Das. Santos Kumar 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.
Nayak, Rashmiranjan, et al.. (2025). ChAT-BiGRU-NBEATS: An efficient and robust deep learning model for time series weather data prediction. Computers & Electrical Engineering. 127. 110603–110603.
2.
Bakshi, Sambit, et al.. (2025). Unravelling Digital Forgeries: A Systematic Survey on Image Manipulation Detection and Localization. ACM Computing Surveys. 57(12). 1–36. 1 indexed citations
3.
Nayak, Rashmiranjan, Umesh Chandra Pati, & Santos Kumar Das. (2025). SASTNet: Self-Attention-Enabled Spatio-Temporal Network for single scene video anomaly detection. Computers & Electrical Engineering. 128. 110749–110749.
4.
Nayak, Rashmiranjan, et al.. (2024). A Panoramic Review on Cutting-Edge Methods for Video Anomaly Localization. IEEE Access. 12. 186380–186412.
5.
Majhi, Sudhan, et al.. (2024). Time-Varying Channel Estimation for ACO-OFDM VLC Over Mobile Environment. IEEE Transactions on Vehicular Technology. 73(8). 11556–11567. 2 indexed citations
6.
7.
Das, Santos Kumar, et al.. (2023). Wireless Powered mmWave Cooperative Communication Network. Wireless Personal Communications. 129(4). 2945–2957. 1 indexed citations
8.
Pati, Umesh Chandra, et al.. (2023). ABTCN: an efficient hybrid deep learning approach for atmospheric temperature prediction. Environmental Science and Pollution Research. 30(60). 125295–125312. 4 indexed citations
9.
Das, Santos Kumar, et al.. (2023). A novel method for resampling detection in highly compressed JPEG images through BAR using a deep learning technique. Optik. 291. 171356–171356. 2 indexed citations
10.
Bakshi, Sambit, et al.. (2023). Forensic analysis of manipulation chains: A deep residual network for detecting JPEG-manipulation-JPEG. Forensic Science International Digital Investigation. 47. 301623–301623. 3 indexed citations
11.
Nayak, Rashmiranjan, Umesh Chandra Pati, & Santos Kumar Das. (2023). A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection. Multimedia Tools and Applications. 83(21). 59617–59674. 6 indexed citations
12.
Samal, K. Krishna Rani, Korra Sathya Babu, & Santos Kumar Das. (2023). Spatial-temporal prediction of air quality by deep learning and kriging interpolation approach. ICST Transactions on Scalable Information Systems. 6 indexed citations
13.
Das, Santos Kumar, et al.. (2023). Two layered gated recurrent stacked long short-term memory networks for driver’s behavior analysis. Sadhana. 48(2). 6 indexed citations
14.
Das, Santos Kumar, et al.. (2023). Deep Learning-Based Flying Object Detection using Avian-Airborne Database: Military Applications. 29. 1365–1370. 1 indexed citations
15.
Das, Santos Kumar, et al.. (2023). An exhaustive measurement of re-sampling detection in lossy compressed images using deep learning approach. Engineering Applications of Artificial Intelligence. 129. 107614–107614. 3 indexed citations
16.
Srivastava, Harshit, et al.. (2022). Performance Analysis of Machine Learning Models for Air Pollution Prediction. 1–6. 3 indexed citations
17.
Das, Santos Kumar, et al.. (2022). Intruder Drone Detection using Unmanned Aerial Vehicle Borne Radar (UAVBR) via Reconfigurable Intelligent Reflective Surface (IRS). 2022 IEEE 19th India Council International Conference (INDICON). 1–5. 2 indexed citations
18.
Turuk, Ashok Kumar, et al.. (2021). A Point-to-Multi-Point Tracking System for FSO Communication. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 14 indexed citations
19.
Das, Santos Kumar, et al.. (2021). Fog-IoT-Based Slope Monitoring (FIoTSM) System With LoRa Communication in Open-Cast Mine. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 10 indexed citations
20.
Das, Santos Kumar, et al.. (2012). Impact of in-band crosstalk & crosstalk aware datapath selection in WDM/DWDM networks. IEEE-International Conference On Advances In Engineering, Science And Management. 180–185. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by R.C. Luo Breakdown of academic impact, for papers by Wilmar Hernández Breakdown of academic impact, for papers by Abdullah Kadri Breakdown of academic impact, for papers by Olga Saukh Breakdown of academic impact, for papers by Ying Cui Breakdown of academic impact, for papers by Lei Yu Breakdown of academic impact, for papers by Xiucheng Li Breakdown of academic impact, for papers by Qi Liao Breakdown of academic impact, for papers by Jiazheng Li
Rankless by CCL
2026