Liam Cervante

590 total citations
5 papers, 298 citations indexed

About

Liam Cervante is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Liam Cervante has authored 5 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 1 paper in Control and Systems Engineering. Recurrent topics in Liam Cervante's work include Metaheuristic Optimization Algorithms Research (3 papers), Rough Sets and Fuzzy Logic (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Liam Cervante is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Rough Sets and Fuzzy Logic (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Liam Cervante collaborates with scholars based in China and New Zealand. Liam Cervante's co-authors include Bing Xue, Lin Shang, Mengjie Zhang, Will N. Browne and Jun Zhang and has published in prestigious journals such as Connection Science, International Journal of Artificial Intelligence Tools and International Journal of Computational Intelligence and Applications.

In The Last Decade

Liam Cervante

5 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liam Cervante China	5	236	117	48	26	25	5	298
Sheng-Wei Tsai Taiwan	6	217 0.9×	63 0.5×	63 1.3×	41 1.6×	51 2.0×	7	322
Yingcang Ma China	8	110 0.5×	58 0.5×	99 2.1×	17 0.7×	21 0.8×	46	245
Luis Rodríguez Mexico	7	217 0.9×	94 0.8×	36 0.8×	7 0.3×	49 2.0×	8	298
Manuel S. Lazo-Cortés Mexico	9	144 0.6×	76 0.6×	34 0.7×	17 0.7×	10 0.4×	28	220
Jiang Xie China	10	214 0.9×	41 0.4×	110 2.3×	9 0.3×	18 0.7×	15	280
Zhimao Lu China	8	186 0.8×	42 0.4×	196 4.1×	27 1.0×	20 0.8×	40	317
Hartmut Pohlheim Germany	10	103 0.4×	62 0.5×	18 0.4×	19 0.7×	38 1.5×	25	287
Fei Zheng China	7	162 0.7×	14 0.1×	61 1.3×	19 0.7×	18 0.7×	20	248
Christopher K. Monson United States	7	210 0.9×	96 0.8×	16 0.3×	12 0.5×	45 1.8×	13	285
Heiko Timm Germany	6	188 0.8×	53 0.5×	92 1.9×	6 0.2×	25 1.0×	8	244

Countries citing papers authored by Liam Cervante

Since Specialization

Citations

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

Fields of papers citing papers by Liam Cervante

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liam Cervante

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

All Works

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5 of 5 papers shown

1.

Xue, Bing, Liam Cervante, Lin Shang, Will N. Browne, & Jun Zhang. (2014). BINARY PSO AND ROUGH SET THEORY FOR FEATURE SELECTION: A MULTI-OBJECTIVE FILTER BASED APPROACH. International Journal of Computational Intelligence and Applications. 13(2). 1450009–1450009. 40 indexed citations

2.

Xue, Bing, Liam Cervante, Lin Shang, Will N. Browne, & Jun Zhang. (2013). MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR FILTER BASED FEATURE SELECTION IN CLASSIFICATION. International Journal of Artificial Intelligence Tools. 22(4). 1350024–1350024. 61 indexed citations

3.

Cervante, Liam, Bing Xue, Lin Shang, & Mengjie Zhang. (2013). Binary particle swarm optimisation and rough set theory for dimension reduction in classification. 69. 2428–2435. 12 indexed citations

4.

Cervante, Liam, Bing Xue, Mengjie Zhang, & Lin Shang. (2012). Binary particle swarm optimisation for feature selection: A filter based approach. Zenodo (CERN European Organization for Nuclear Research). 1–8. 107 indexed citations

5.

Xue, Bing, Liam Cervante, Lin Shang, Will N. Browne, & Mengjie Zhang. (2012). A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. Connection Science. 24(2-3). 91–116. 78 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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