Tathagata Ray

740 total citations
43 papers, 476 citations indexed

About

Tathagata Ray is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Tathagata Ray has authored 43 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 10 papers in Mechanical Engineering and 8 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Tathagata Ray's work include Computational Geometry and Mesh Generation (8 papers), Seismic Performance and Analysis (8 papers) and Iron and Steelmaking Processes (6 papers). Tathagata Ray is often cited by papers focused on Computational Geometry and Mesh Generation (8 papers), Seismic Performance and Analysis (8 papers) and Iron and Steelmaking Processes (6 papers). Tathagata Ray collaborates with scholars based in United States, India and Hong Kong. Tathagata Ray's co-authors include Tamal K. Dey, A. M. Reinhorn, Chandu Parimi, Siu-Wing Cheng, Edgar A. Ramos, Venkateswaran Rajagopalan, A. Suresh, Pratik Swarup Dash, Michael C. Constantinou and A. A. Sarlis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Structural Engineering.

In The Last Decade

Tathagata Ray

42 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tathagata Ray United States 13 131 120 102 85 77 43 476
Lihua You United Kingdom 14 65 0.5× 180 1.5× 280 2.7× 44 0.5× 126 1.6× 95 603
Young Ho Chai South Korea 11 60 0.5× 18 0.1× 30 0.3× 33 0.4× 185 2.4× 51 512
Zhihao Li China 14 158 1.2× 14 0.1× 165 1.6× 65 0.8× 38 0.5× 64 567
Pengbo Bo China 14 55 0.4× 223 1.9× 446 4.4× 139 1.6× 58 0.8× 22 799
Xiaoyang Wu China 11 11 0.1× 54 0.5× 124 1.2× 52 0.6× 183 2.4× 31 441
Junpeng Wang China 10 112 0.9× 17 0.1× 30 0.3× 29 0.3× 74 1.0× 41 390
Simon Flöry Austria 10 39 0.3× 170 1.4× 301 3.0× 22 0.3× 430 5.6× 12 742
Robert J. McNamara United States 9 876 6.7× 71 0.6× 101 1.0× 16 0.2× 64 0.8× 14 1.0k
Wenming Wu China 6 18 0.1× 65 0.5× 50 0.5× 20 0.2× 124 1.6× 31 356

Countries citing papers authored by Tathagata Ray

Since Specialization
Citations

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

Fields of papers citing papers by Tathagata Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tathagata Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Tathagata Ray. A scholar is included among the top collaborators of Tathagata Ray 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 Tathagata Ray. Tathagata Ray 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.
Deshmukh, Sandip, et al.. (2025). Comparison and assessment of machine learning approaches in manufacturing applications. SHILAP Revista de lepidopterología. 3(1). 4 indexed citations
2.
Deshmukh, Sandip, et al.. (2025). Enhancing manufacturing process accuracy: A multidisciplinary approach integrating computer vision, machine learning, and control systems. Journal of Manufacturing Processes. 142. 453–467. 2 indexed citations
3.
Deshmukh, Sandip, et al.. (2024). An investigation of deep learning approaches for efficient assembly component identification. Beni-Suef University Journal of Basic and Applied Sciences. 13(1). 3 indexed citations
4.
Deshmukh, Sandip, et al.. (2022). Nuts&bolts: YOLO-v5 and image processing based component identification system. Engineering Applications of Artificial Intelligence. 118. 105665–105665. 31 indexed citations
5.
Rajagopalan, Venkateswaran, et al.. (2022). Development of a Robust, Simple, and Affordable Human Gait Analysis System Using Bottom-Up Pose Estimation With a Smartphone Camera. Frontiers in Physiology. 12. 784865–784865. 30 indexed citations
6.
Ray, Tathagata, et al.. (2021). Quality and productivity enhancement of sintering process using correlation-based online permeability by infrared-based flow measurement technique. Ironmaking & Steelmaking Processes Products and Applications. 48(7). 788–795. 2 indexed citations
7.
Ray, Tathagata, et al.. (2019). Frequency‐independent hysteretic dampers for mitigating wind‐induced vibrations of tall buildings. Structural Control and Health Monitoring. 26(5). e2341–e2341. 7 indexed citations
8.
Ray, Tathagata, et al.. (2017). Bicycle-Inspired Adaptive Self-Centering Device: Development of the Prototype, Experimental Results, and Analytical Predictions. Journal of Structural Engineering. 143(9). 7 indexed citations
9.
Ray, Tathagata, et al.. (2017). Effects of axial-shear-flexure interaction in static and dynamic responses of steel beams. Journal of Constructional Steel Research. 131. 83–93. 2 indexed citations
10.
11.
Ray, Tathagata, et al.. (2016). Teaching Computer Programming Using MOOCs in Multiple Campuses: Challenges and Solutions. 9. 160–163. 2 indexed citations
12.
Lingam, Ravi Kumar, et al.. (2015). Upgrading coal washery rejects through caustic-acid leaching. Mineral Processing and Extractive Metallurgy Review. 7 indexed citations
13.
Suresh, A., et al.. (2015). Pilot scale demineralization study on coal flotation tailings and optimization of the operational parameters with modeling. International Journal of Mineral Processing. 145. 23–31. 12 indexed citations
14.
Ray, Tathagata, A. M. Reinhorn, & Satish Nagarajaiah. (2013). Nonlinear elastic and inelastic spectra with inherent and supplemental damping. Earthquake Engineering & Structural Dynamics. 42(14). 2151–2165. 18 indexed citations
15.
Suresh, A., Tathagata Ray, Pratik Swarup Dash, & Pradip Banerjee. (2012). Prediction of coke quality using adaptive neurofuzzy inference system. Ironmaking & Steelmaking Processes Products and Applications. 39(5). 363–369. 14 indexed citations
16.
Ray, Tathagata. (2008). The IPM Paradigm: Vertebrates, Economics, and Uncertainty. Proceedings - Vertebrate Pest Conference. 23. 8 indexed citations
17.
Dey, Tamal K. & Tathagata Ray. (2006). Quality delaunay meshing of polyhedral volumes and surfaces. 1 indexed citations
18.
Ray, Tathagata, et al.. (2006). Benefits and Costs Associated with Wildlife Services Activities in California. Proceedings - Vertebrate Pest Conference. 22. 4 indexed citations
19.
Cheng, Siu-Wing, Tamal K. Dey, Edgar A. Ramos, & Tathagata Ray. (2005). QUALITY MESHING OF POLYHEDRA WITH SMALL ANGLES. International Journal of Computational Geometry & Applications. 15(4). 421–461. 18 indexed citations
20.
Cheng, Siu-Wing, Tamal K. Dey, Edgar A. Ramos, & Tathagata Ray. (2004). Sampling and meshing a surface with guaranteed topology and geometry. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 280–289. 39 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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