Sam Anand

3.0k citations
104 papers · 2.4k · h-index 27

Impact in

Papers in

Sam Anand

99 papers receiving 2.3k citations

Peers

Sam Anand
Comparison fields: 5 of 102
  • Industrial and Manufacturing Engineering 1.4k
  • Automotive Engineering 1.5k
  • Mechanical Engineering 1.4k
  • Building and Construction 233
  • Computational Mechanics 276
Replace Giovanni Moroni with:
Giovanni Moroni Italy
Robert G. Landers United States
Yicha Zhang France
Jean-Yves Hascoët France
Prashant K. Jain India
S. G. Dhande India
Frank Liou United States
Ahmad Barari Canada
M. V. A. Raju Bahubalendruni India
S. Hinduja United Kingdom
Sam Anand relative to Giovanni Moroni Italy Giovanni Moroni's profile →
Citations per field
00.5×1.6×
Giovanni Moroni · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sam Anand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Anand Line = papers co-authored together Sam Anand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014158
2 2015154
3 2014128
4 2012123
5 201792
6 201188
7 201781
8 201680
9 201678
10 201669
11 199569
12 202061
13 201460
14 201557
15 201456
16 201954
17 201350
18 202148
19 201844
20 199539

About Sam Anand

Sam Anand is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Mechanical Engineering, Computational Mechanics and Civil and Structural Engineering, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (52 papers), Additive Manufacturing and 3D Printing Technologies (47 papers), Additive Manufacturing Materials and Processes (18 papers), Advanced Measurement and Metrology Techniques (18 papers), Topology Optimization in Engineering (14 papers), Industrial Vision Systems and Defect Detection (10 papers), 3D Shape Modeling and Analysis (8 papers) and 3D Surveying and Cultural Heritage (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.4k citations), Automotive Engineering (1.5k citations), Mechanical Engineering (1.4k citations), Building and Construction (233 citations) and Computational Mechanics (276 citations). Sam Anand has collaborated with scholars based in United States, India and Malaysia. Frequent 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. Their work appears in journals such as Journal of Manufacturing Science and Engineering, Journal of Manufacturing Systems, The International Journal of Advanced Manufacturing Technology, Computers & Industrial Engineering and Manufacturing Letters.

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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