Arvind Mohais

463 total citations
13 papers, 257 citations indexed

About

Arvind Mohais is a scholar working on Management Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Arvind Mohais has authored 13 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 6 papers in Artificial Intelligence and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Arvind Mohais's work include Supply Chain and Inventory Management (5 papers), Scheduling and Optimization Algorithms (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Arvind Mohais is often cited by papers focused on Supply Chain and Inventory Management (5 papers), Scheduling and Optimization Algorithms (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Arvind Mohais collaborates with scholars based in Australia, Poland and Czechia. Arvind Mohais's co-authors include Rui Mendes, Zbigniew Michalewicz, Christian Posthoff, Neal Wagner, C. I. CHIRIAC and Ashok Sahai and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Intelligent Computing and Cybernetics and Adelaide Research & Scholarship (AR&S) (University of Adelaide).

In The Last Decade

Arvind Mohais

13 papers receiving 250 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arvind Mohais Australia 8 190 122 51 22 22 13 257
Giorgos Karafotias Netherlands 6 317 1.7× 193 1.6× 37 0.7× 13 0.6× 28 1.3× 10 400
Christian L. Camacho‐Villalón Belgium 6 184 1.0× 107 0.9× 52 1.0× 23 1.0× 38 1.7× 7 288
Yuxiao Huang China 7 167 0.9× 121 1.0× 78 1.5× 14 0.6× 23 1.0× 14 259
Ramón Sagarna Singapore 9 126 0.7× 60 0.5× 22 0.4× 29 1.3× 27 1.2× 16 280
Jiajie Mo China 3 223 1.2× 237 1.9× 25 0.5× 32 1.5× 9 0.4× 3 290
Nibedan Panda India 9 164 0.9× 41 0.3× 33 0.6× 40 1.8× 20 0.9× 28 233
Carolina P. Almeida Brazil 10 146 0.8× 138 1.1× 61 1.2× 28 1.3× 12 0.5× 30 253
Jesús Guillermo Falcón-Cardona Mexico 8 196 1.0× 200 1.6× 17 0.3× 26 1.2× 10 0.5× 22 274

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-authorship network of co-authors of Arvind Mohais

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Mohais. A scholar is included among the top collaborators of Arvind Mohais 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 Arvind Mohais. Arvind Mohais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Mohais, Arvind, et al.. (2014). Scheduling in iron ore open-pit mining. The International Journal of Advanced Manufacturing Technology. 72(5-8). 1021–1037. 12 indexed citations
2.
Mohais, Arvind, et al.. (2013). Combining vehicle routing and packing for optimal delivery schedules of water tanks. OR Insight. 26(3). 167–190. 17 indexed citations
3.
Mohais, Arvind, et al.. (2012). Evolutionary approaches for supply chain optimisation. International Journal of Intelligent Computing and Cybernetics. 5(4). 444–472. 10 indexed citations
4.
Mohais, Arvind, et al.. (2012). Evolutionary approaches for supply chain optimisation. Part II: multi‐silo supply chains. International Journal of Intelligent Computing and Cybernetics. 5(4). 473–499. 8 indexed citations
5.
6.
Wagner, Neal, et al.. (2011). Intelligent techniques for forecasting multiple time series in real‐world systems. International Journal of Intelligent Computing and Cybernetics. 4(3). 284–310. 17 indexed citations
7.
Mohais, Arvind, et al.. (2011). Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 42. 2407–2414. 2 indexed citations
8.
Mohais, Arvind, et al.. (2010). Optimising supply chain networks by means of a hybridised simulation-based approach. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–6. 2 indexed citations
9.
Wagner, Neal, et al.. (2010). Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–8. 3 indexed citations
10.
Mohais, Arvind, et al.. (2007). Swarm-Optimization-Based Affective Product Design Illustrated by a Pen Case-Study. 1 indexed citations
11.
Mohais, Arvind, et al.. (2007). Earthquake classifying neural networks trained with random dynamic neighborhood PSOs. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 110–117. 9 indexed citations
12.
Mendes, Rui & Arvind Mohais. (2005). DynDE: a Differential Evolution for Dynamic Optimization Problems. 3. 2808–2815. 150 indexed citations
13.
Mohais, Arvind, et al.. (2004). Randomized directed neighborhoods with edge migration in particle swarm optimization. 548–555. 25 indexed citations

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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