Anil Kumar Gulivindala

9 papers receiving 244 citations

Peers

Anil Kumar Gulivindala
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 207
  • Computer Vision and Pattern Recognition 77
  • Mechanical Engineering 54
  • Management of Technology and Innovation 39
  • Automotive Engineering 33
Replace Ferruccio Mandorli with:
Ferruccio Mandorli Italy
Dedy Ariansyah United Kingdom
Ľuboslav Dulina Slovakia
Luciano Di Donato Italy
Alessandra Ferraro Italy
Robin Hanson Sweden
Martin Manns Germany
Anil Kumar Inkulu
Takuya Kiyokawa Japan
Jie Geng China
Anil Kumar Gulivindala relative to Ferruccio Mandorli Italy Ferruccio Mandorli's profile →
Citations per field
00.5×6.3×
Ferruccio Mandorli · 1×
Citations per year

Countries citing papers authored by Anil Kumar Gulivindala

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar Gulivindala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Kumar Gulivindala

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Gulivindala. A scholar is included among the top collaborators of Anil Kumar Gulivindala 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 Anil Kumar Gulivindala. Anil Kumar Gulivindala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 17
2 103
3 6
4 15
5 19
6 25
7 36
8 27
9 32

About Anil Kumar Gulivindala

Anil Kumar Gulivindala is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Automotive Engineering, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (7 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Product Development and Customization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (207 citations), Human-Computer Interaction (31 citations) and Management of Technology and Innovation (39 citations). Anil Kumar Gulivindala has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include M. V. A. Raju Bahubalendruni, M. Eswaran, Anil Kumar Inkulu, K. Sankaranarayanasamy, K. Sankaranarayanasamy, Bibhuti Bhusan Biswal, V. S. S. Prasad, Mustufa Haider Abidi, Ejaz Ahmed and Abdulrahman Al‐Ahmari. Their work appears in journals such as Expert Systems with Applications, Sadhana and Computers, materials & continua/Computers, materials & continua (Print).

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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