Vinu E. Venugopal

763 citations
21 papers · 528 · h-index 9

Impact in

Papers in

Vinu E. Venugopal

19 papers receiving 468 citations

Peers

Vinu E. Venugopal
Comparison fields: 5 of 63
  • Industrial and Manufacturing Engineering 360
  • Tourism, Leisure and Hospitality Management 5
  • Artificial Intelligence 95
  • Management Science and Operations Research 34
  • Building and Construction 36
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Joseph A. Svestka United States
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Juan José Palacios Spain
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Citations per year

Countries citing papers authored by Vinu E. Venugopal

Since Specialization
Citations

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

Fields of papers citing papers by Vinu E. Venugopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vinu E. Venugopal. 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 Vinu E. Venugopal. The network helps show where Vinu E. Venugopal may publish in the future.

Co-authors

The 8 scholars most cited alongside Vinu E. Venugopal, 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 Vinu E. Venugopal Line = papers co-authored together Vinu E. Venugopal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992194
2 199475
3 199261
4 199446
5 199937
6 199233
7 201527
8 201716
9 199314
10 20207
11
An interactive procedure for multiobjective optimization using Nash bargaining principle
19904
12 19904
13 20224
14 20241
15
Introduction to manufacturing cells: design, implementation and analysis
20011
16
Online Learning using Distributed Neural Networks
20211
17 20201
18 20201
19 20201
20 20250

About Vinu E. Venugopal

Vinu E. Venugopal is a scholar working on Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications, having authored 21 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (5 papers), Cloud Computing and Resource Management (4 papers), Optimization and Packing Problems (3 papers), Natural Language Processing Techniques (3 papers), Semantic Web and Ontologies (3 papers), Big Data and Business Intelligence (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (360 citations), Tourism, Leisure and Hospitality Management (5 citations), Artificial Intelligence (95 citations), Management Science and Operations Research (34 citations) and Building and Construction (36 citations). Vinu E. Venugopal has collaborated with scholars based in India, Luxembourg and Netherlands. Frequent co-authors include T.T. Narendran, Walter Baets, P. Sreenivasa Kumar, Martin Theobald, Jannes Slomp, Jinchuan Chen, Yan Wu and Nallan C. Suresh. Their work appears in journals such as Semantic Web, European Journal of Operational Research, International Journal of Production Research, Computers in Industry and Journal of Parallel and Distributed Computing.

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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