Ashish M. Gujarathi

1.2k citations
54 papers · 924 indexed · h-index 17
Topics
Process Optimization and Integration (22 papers)Advanced Multi-Objective Optimization Algorithms (16 papers)Advanced Control Systems Optimization (11 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionScientific Reports
Partner nations
OmanIndiaIndonesia

In The Last Decade

Ashish M. Gujarathi

51 papers receiving 898 citations

Peers

Ashish M. Gujarathi
Comparison fields: 5 of 91
  • Mechanical Engineering 342
  • Control and Systems Engineering 202
  • Renewable Energy, Sustainability and the Environment 195
  • Computational Theory and Mathematics 148
  • Biomedical Engineering 141
Replace Sunwon Park with:
Sunwon Park South Korea
Tilman Barz Austria
Shaobo Deng China
Mirko Skiborowski Germany
Yuyan Guo China
Wei Deng China
Ross E. Swaney United States
Shivom Sharma Switzerland
E.N. Pistikopoulos United Kingdom
Boeun Kim South Korea
Ashish M. Gujarathi relative to Sunwon Park South Korea Sunwon Park's profile →
Citations per field
00.5×5.6×
Sunwon Park · 1×
Citations per year

Countries citing papers authored by Ashish M. Gujarathi

Since Specialization
Citations

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

Fields of papers citing papers by Ashish M. Gujarathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashish M. Gujarathi. 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 Ashish M. Gujarathi. The network helps show where Ashish M. Gujarathi may publish in the future.

Co-authorship network of co-authors of Ashish M. Gujarathi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish M. Gujarathi. A scholar is included among the top collaborators of Ashish M. Gujarathi 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 Ashish M. Gujarathi. Ashish M. Gujarathi 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 0
2 1
3 1
4 2
5 6
6 5
7 1
8 4
9 11
10 28
11 8
12 17
13 27
14 74
15 12
16 95
17 40
18 52
19 4
20 28

About Ashish M. Gujarathi

Ashish M. Gujarathi is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Catalysis, having authored 54 papers that have together received 924 indexed citations. Recurring topics across this work include Process Optimization and Integration (22 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Advanced Control Systems Optimization (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (195 citations), Computational Theory and Mathematics (148 citations) and Mechanical Engineering (342 citations). Ashish M. Gujarathi has collaborated with scholars based in Oman, India and Indonesia. Frequent co-authors include B. V. Babu, Hasan Mousa, G. Reza Vakili-Nezhaad, Chandan Guria, Jamil Naser, Nallusamy Sivakumar, Mahnaz Mohammadi, Nabeel Al‐Rawahi, Mohammed Al-Aghbari and Reginald Victor. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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