Arvind Mohais

463 citations
13 papers · 257 · h-index 8

Impact in

Papers in

Arvind Mohais

13 papers receiving 250 citations

Peers

Arvind Mohais
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 122
  • Artificial Intelligence 190
  • Industrial and Manufacturing Engineering 51
  • Management Science and Operations Research 13
  • Computer Networks and Communications 22
Replace Yuxiao Huang with:
Yuxiao Huang China
Giorgos Karafotias Netherlands
Christian L. Camacho‐Villalón Belgium
Nibedan Panda India
Ramón Sagarna Singapore
Vivek Kumar Sharma India
Mathys C. du Plessis South Africa
Carolina P. Almeida Brazil
Felipe Trevizan Australia
Yali Wu China
Arvind Mohais relative to Yuxiao Huang China Yuxiao Huang's profile →
Citations per field
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Yuxiao Huang · 1×
Citations per year

Countries citing papers authored by Arvind Mohais

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Mohais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Arvind Mohais, 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 Arvind Mohais Line = papers co-authored together Arvind Mohais links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2005150
2 200425
3 201117
4 201317
5 201412
6 201210
7 20079
8 20128
9 20103
10 20102
11 20112
12 20111
13
Swarm-Optimization-Based Affective Product Design Illustrated by a Pen Case-Study
20071

About Arvind Mohais

Arvind Mohais is a scholar working on Management Information Systems, Artificial Intelligence, Industrial and Manufacturing Engineering, Strategy and Management and Social Psychology, having authored 13 papers that have together received 257 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (5 papers), Scheduling and Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Vehicle Routing Optimization Methods (2 papers), Evolutionary Algorithms and Applications (2 papers), Sustainable Supply Chain Management (2 papers), Optimization and Packing Problems (1 paper) and Quality and Supply Management (1 paper). The work is most often cited by research in Computational Theory and Mathematics (122 citations), Artificial Intelligence (190 citations), Industrial and Manufacturing Engineering (51 citations), Management Science and Operations Research (13 citations) and Computer Networks and Communications (22 citations). Arvind Mohais has collaborated with scholars based in Australia, Poland and Czechia. Frequent co-authors include Rui Mendes, Zbigniew Michalewicz, Christian Posthoff, Neal Wagner, C. I. CHIRIAC and Ashok Sahai. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Intelligent Computing and Cybernetics, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and OR Insight.

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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