Sam Anand

2.9k total citations
100 papers, 2.2k citations indexed

About

Sam Anand is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Sam Anand has authored 100 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Industrial and Manufacturing Engineering, 46 papers in Automotive Engineering and 40 papers in Mechanical Engineering. Recurrent topics in Sam Anand's work include Manufacturing Process and Optimization (51 papers), Additive Manufacturing and 3D Printing Technologies (46 papers) and Advanced Measurement and Metrology Techniques (18 papers). Sam Anand is often cited by papers focused on Manufacturing Process and Optimization (51 papers), Additive Manufacturing and 3D Printing Technologies (46 papers) and Advanced Measurement and Metrology Techniques (18 papers). Sam Anand collaborates with scholars based in United States and India. Sam Anand's co-authors include Ratnadeep Paul, Frank M. Gerner, Venkat Allada, Parimal Kopardekar, Anil Mital, Karthik Rajagopal, Botao Zhang, Manish Kumar, Kumar Vemaganti and Rohit Sharma and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and International Journal of Production Research.

In The Last Decade

Sam Anand

96 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Anand United States 27 1.4k 1.3k 1.3k 259 217 100 2.2k
Giovanni Moroni Italy 17 1.6k 1.1× 1.5k 1.1× 1.2k 1.0× 243 0.9× 286 1.3× 91 2.6k
Yicha Zhang France 27 1.1k 0.8× 940 0.7× 931 0.7× 174 0.7× 205 0.9× 82 1.9k
Ahmad Barari Canada 22 583 0.4× 757 0.6× 605 0.5× 173 0.7× 90 0.4× 117 1.4k
Robert G. Landers United States 35 2.0k 1.5× 2.4k 1.8× 952 0.8× 414 1.6× 206 0.9× 216 4.5k
Qiang Huang United States 28 975 0.7× 1.2k 0.9× 1.4k 1.1× 255 1.0× 62 0.3× 133 2.3k
S. G. Dhande India 16 864 0.6× 894 0.7× 746 0.6× 210 0.8× 90 0.4× 57 1.5k
S.T. Tan Hong Kong 18 442 0.3× 354 0.3× 585 0.5× 418 1.6× 220 1.0× 72 1.2k
Frank Liou United States 39 2.7k 2.0× 4.5k 3.4× 1.1k 0.9× 491 1.9× 194 0.9× 336 5.8k
Klaus Dröder Germany 19 630 0.5× 965 0.7× 479 0.4× 73 0.3× 150 0.7× 163 1.9k
Alessandra Caggiano Italy 26 446 0.3× 1.5k 1.1× 916 0.7× 178 0.7× 39 0.2× 81 2.3k

Countries citing papers authored by Sam Anand

Since Specialization
Citations

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

Fields of papers citing papers by Sam Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Anand

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Anand. A scholar is included among the top collaborators of Sam Anand 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 Sam Anand. Sam Anand 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.
Tang, Ming, et al.. (2025). IIoT-enabled digital twin for legacy and smart factory machines with LLM integration. Journal of Manufacturing Systems. 80. 511–523. 6 indexed citations
2.
Anand, Sam, et al.. (2025). Cross prior Bayesian attention with correlated inception and residual learning for brain tumor classification using MR images (CB-CIRL Net). Journal of Neuroscience Methods. 417. 110392–110392. 4 indexed citations
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Vemaganti, Kumar, et al.. (2024). Design Optimization of Lattice Structures Under Impact Loading for Additive Manufacturing. Journal of Mechanical Design. 146(11). 8 indexed citations
6.
Kumar, Manish, et al.. (2024). Deep learning-based image segmentation for defect detection in additive manufacturing: an overview. The International Journal of Advanced Manufacturing Technology. 134(5-6). 2081–2105. 15 indexed citations
7.
Andaluz, Norberto, et al.. (2023). Toward global availability of low-cost, patient-specific cranial implants: creation and validation of automated CranialRebuild freeware application. Acta Neurochirurgica. 165(8). 2219–2224. 2 indexed citations
8.
Forbes, Jonathan A., et al.. (2021). Image Processing-based Method for Automatic Design of Patient-Specific Cranial Implant for Additive Manufacturing. Procedia Manufacturing. 53. 375–386. 4 indexed citations
9.
Anand, Sam, et al.. (2021). Hatch Pattern Optimization of Powder Bed Fusion Additive Manufacturing Process for Minimizing Flatness error. Procedia Manufacturing. 53. 456–465. 3 indexed citations
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11.
Anand, Sam, et al.. (2018). Octree data structure for support accessibility and removal analysis in additive manufacturing. Additive manufacturing. 22. 618–633. 11 indexed citations
12.
Anand, Sam, et al.. (2017). Selection of build orientation for optimal support structures and minimum part errors in additive manufacturing. Computer-Aided Design and Applications. 14(sup1). 1–13. 70 indexed citations
13.
Anand, Sam, et al.. (2016). Optimum Support Structure Generation for Additive Manufacturing Using Unit Cell Structures and Support Removal Constraint. Procedia Manufacturing. 5. 1043–1059. 75 indexed citations
14.
Anand, Sam, et al.. (2015). Optimum Part Build Orientation in Additive Manufacturing for Minimizing Part Errors and Support Structures. Procedia Manufacturing. 1. 343–354. 138 indexed citations
15.
Paul, Ratnadeep, et al.. (2014). Increasing Part Accuracy in Additive Manufacturing Processes Using a k-d Tree Based Clustered Adaptive Layering. Journal of Manufacturing Science and Engineering. 136(6). 23 indexed citations
16.
Srikrishnan, Aylur K., Canjeevaram K. Vasudevan, Sam Anand, et al.. (2014). Voucher Incentives Improve Linkage to and Retention in Care Among HIV-Infected Drug Users in Chennai, India. Clinical Infectious Diseases. 59(4). 589–595. 56 indexed citations
17.
Paul, Ratnadeep, et al.. (2014). Adaptive Slicing in Additive Manufacturing Process Using a Modified Boundary Octree Data Structure. Journal of Manufacturing Science and Engineering. 137(1). 53 indexed citations
18.
Anand, Sam, et al.. (2011). A comprehensive methodology for runout tolerance evaluation using discrete data. The International Journal of Advanced Manufacturing Technology. 56(5-8). 663–676. 6 indexed citations
19.
Allada, Venkat & Sam Anand. (1996). Machine understanding of manufacturing features. International Journal of Production Research. 34(7). 1791–1819. 19 indexed citations
20.
Anand, Sam & Pius J. Egbelu. (1994). On-line robotic spray painting using machine vision. International journal of industrial engineering. 1(1). 87–95. 3 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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