Ajit Gopalakrishnan

517 citations
14 papers · 387 · h-index 9

Impact in

Papers in

Ajit Gopalakrishnan

13 papers receiving 378 citations

Peers

Ajit Gopalakrishnan
Comparison fields: 5 of 77
  • Control and Systems Engineering 236
  • Industrial and Manufacturing Engineering 33
  • Electrical and Electronic Engineering 140
  • Statistics, Probability and Uncertainty 12
  • Artificial Intelligence 51
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Luca Bellani Italy
Hongbo Sun United States
Lucas S. Batista Brazil
Yaohui Lu China
C. K. Babulal India
Akbar Ebrahimi Iran
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Lawrence Megan United States
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Citations per field
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Citations per year

Countries citing papers authored by Ajit Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ajit Gopalakrishnan, 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 Ajit Gopalakrishnan Line = papers co-authored together Ajit Gopalakrishnan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2010114
2 201282
3 201249
4 201633
5 201326
6 201921
7 201819
8 201614
9 200711
10
Supporting Technology Integration in Adult Education: Critical Issues and Models.
20066
11 20205
12 20174
13
Learner Retention in Adult Secondary Education: A Comparative Study.
20083
14 19700

About Ajit Gopalakrishnan

Ajit Gopalakrishnan is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Education, Political Science and International Relations and Clinical Psychology, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Process Optimization and Integration (7 papers), Advanced Control Systems Optimization (7 papers), Higher Education Learning Practices (2 papers), Education Systems and Policy (2 papers), Adult and Continuing Education Topics (2 papers), Fault Detection and Control Systems (2 papers), Smart Grid Energy Management (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Control and Systems Engineering (236 citations), Industrial and Manufacturing Engineering (33 citations), Electrical and Electronic Engineering (140 citations), Statistics, Probability and Uncertainty (12 citations) and Artificial Intelligence (51 citations). Ajit Gopalakrishnan has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Lorenz T. Biegler, Niket S. Kaisare, Shankar Narasimhan, Daniel Nikovski, Arvind U. Raghunathan, Ignacio E. Grossmann, Jean André, Miguel Zamarripa, Carlos A. Méndez and M. Paz Ochoa. Their work appears in journals such as Industrial & Engineering Chemistry Research, Computers & Chemical Engineering, AIChE Journal, Criminal Justice and Behavior and Journal of Process Control.

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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