Arvind Mohais

466 citations
13 papers · 258 · h-index 8

Impact in

Papers in

Arvind Mohais

13 papers receiving 252 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 Giorgos Karafotias with:
Giorgos Karafotias Netherlands
Alexandros Tzanetos Greece
Ramón Sagarna Singapore
Dikshit Chauhan India
Carolina P. Almeida Brazil
Mathys C. du Plessis South Africa
Yali Wu China
Felipe Trevizan Australia
Nazar K. Hussein Iraq
Arvind Mohais relative to Giorgos Karafotias Netherlands Giorgos Karafotias's profile →
Citations per field
00.5×1.5×
Giorgos Karafotias · 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 2005151
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 258 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Scheduling and Optimization Algorithms (5 papers), Sustainable Supply Chain Management (2 papers), Vehicle Routing Optimization Methods (2 papers), Evolutionary Algorithms and Applications (2 papers), Mineral Processing and Grinding (1 paper) and Artificial Immune Systems Applications (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 Trinidad and Tobago. 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, OR Insight, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and RepositóriUM (Universidade do Minho).

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.

Explore authors with similar magnitude of impact