Kapil Kumar Goyal

944 citations
41 papers · 646 indexed · h-index 13

Kapil Kumar Goyal

36 papers receiving 616 citations

Peers

Kapil Kumar Goyal
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 380
  • Management of Technology and Innovation 184
  • Automotive Engineering 117
  • Mechanical Engineering 156
  • Management Information Systems 19
Replace Winston A. Knight with:
Winston A. Knight United States
Alaa Hassan France
Michael Vielhaber Germany
Siva Kumar Mahalingam India
C. Vila Spain
Kerstin Johansen Sweden
Uzair Khaleeq uz Zaman Pakistan
Fred van Houten Netherlands
Parag Vichare United Kingdom
Samyeon Kim Singapore
Kapil Kumar Goyal relative to Winston A. Knight United States Winston A. Knight's profile →
Citations per field
00.5×4.1×
Winston A. Knight · 1×
Citations per year

Countries citing papers authored by Kapil Kumar Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Kumar Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kapil Kumar Goyal, 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 Kapil Kumar Goyal Line = papers co-authored together Kapil Kumar Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20233
4 20235
5 20232
6 20230
7 20230
8 202321
9 202231
10 20223
11 20222
12 202227
13 20225
14 20227
15 20225
16 202237
17 202122
18 201310
19 201260
20 2011145

About Kapil Kumar Goyal

Kapil Kumar Goyal is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Management of Technology and Innovation, having authored 41 papers that have together received 646 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Flexible and Reconfigurable Manufacturing Systems (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers), Advanced Machining and Optimization Techniques (7 papers), Advanced machining processes and optimization (7 papers), Aluminum Alloys Composites Properties (5 papers), Product Development and Customization (4 papers) and Additive Manufacturing Materials and Processes (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (380 citations), Management of Technology and Innovation (184 citations) and Automotive Engineering (117 citations). Kapil Kumar Goyal has collaborated with scholars based in India, United Kingdom and Türkiye. Frequent co-authors include Pramod Kumar Jain, Madhu Jain, Jatinder Singh, Rakesh Kumar, Vishal Gupta, Deepika Rani, Neeraj Sharma, Mohinder Pal Garg, Anand Sharma and Rahul Dev Gupta.

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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