Dharam Buddhi

2.4k citations
90 papers · 1.4k indexed · 2 hit papers · h-index 15
Topics
Advanced machining processes and optimization (12 papers)Internet of Things and AI (12 papers)Advanced Machining and Optimization Techniques (10 papers)
Partner nations
IndiaIraqRussia

In The Last Decade

Dharam Buddhi

76 papers receiving 1.3k citations

Hit Papers

Laser powder bed fusion: a state-of-the-art review of the...202220262023202420222022100200300

Peers

Dharam Buddhi
Comparison fields: 5 of 110
  • Mechanical Engineering 927
  • Automotive Engineering 434
  • Biomedical Engineering 230
  • Materials Chemistry 227
  • Electrical and Electronic Engineering 199
Replace Ana Vafadar with:
Ana Vafadar Australia
Mohammed Asmael Cyprus
Hitesh Vasudev India
Rakesh Chaudhari India
Francesco Caputo Italy
Róbert Čep Czechia
S. Sulaiman Malaysia
V. Vijayaraghavan Singapore
S. Kaliappan India
Sang Won Lee South Korea
Dharam Buddhi relative to Ana Vafadar Australia Ana Vafadar's profile →
Citations per field
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Ana Vafadar · 1×
Citations per year

Countries citing papers authored by Dharam Buddhi

Since Specialization
Citations

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

Fields of papers citing papers by Dharam Buddhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dharam Buddhi

This figure shows the co-authorship network connecting the top 25 collaborators of Dharam Buddhi. A scholar is included among the top collaborators of Dharam Buddhi 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 Dharam Buddhi. Dharam Buddhi 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
#WorkIndexed citations
1 5
2 2
3 1
4 26
5 3
6 0
7 0
8 2
9 16
10 36
11 4
12 14
13 2
14 1
15 1
16 9
17 5
18 6
19 0
20
A critical review on additive manufacturing of Ti-6Al-4V alloy: microstructure and mechanical propertiesbreakdown →
347

About Dharam Buddhi

Dharam Buddhi is a scholar working on Mechanical Engineering, Automotive Engineering and Information Systems, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (12 papers), Internet of Things and AI (12 papers) and Advanced Machining and Optimization Techniques (10 papers). The work is most often cited by research in Automotive Engineering (434 citations), Mechanical Engineering (927 citations) and Industrial and Manufacturing Engineering (135 citations). Dharam Buddhi has collaborated with scholars based in India, Iraq and Russia. Frequent co-authors include Chander Prakash, Saurav Dixit, Lovi Raj Gupta, Seeram Ramakrishna, N. Yadaiah, Sohini Chowdhury, Kuldeep K. Saxena, S. Shankar, Alokesh Pramanik and I.S. Jawahir. Their work appears in journals such as Journal of Cleaner Production, Journal of Environmental Management and Applied Thermal Engineering.

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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