Suzilah Ismail

417 citations
30 papers · 267 indexed · h-index 8

Suzilah Ismail

25 papers receiving 254 citations

Peers

Suzilah Ismail
Comparison fields: 5 of 91
  • Modeling and Simulation 31
  • Tourism, Leisure and Hospitality Management 9
  • Public Health, Environmental and Occupational Health 120
  • Transportation 24
  • Management Science and Operations Research 35
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D. Michael Goedecke United States
Kenneth K. Lopiano United States
Justine Allpress United States
Kristína Kováčiková Slovakia
Olushina Olawale Awe Nigeria
Aamena Alshamsi United States
J. C. Castillo United States
Elizabeth Hunter Ireland
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Citations per year

Countries citing papers authored by Suzilah Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Suzilah Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Suzilah Ismail, 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 Suzilah Ismail Line = papers co-authored together Suzilah Ismail links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202212
2 20222
3 202020
4
HEALTHY LIFESTYLE INSTRUMENT
20191
5
EXPLORATORY DATA ANALYSIS ON HOUSEHOLD EXPENDITURE SURVEY 1998 AND 2014
20191
6 201926
7
Comparative study of Manual time series components identification with automated Break for Time Series Components (BFTSC) and Group for Time Series Components (GFTSC) in Identification in Univariate Forecasting
20191
8 201854
9 20170
10 20171
11 20161
12 20161
13
The role of exploratory data analysis (EDA) in electricity forecasting
20163
14 20158
15
Algorithmic approaches in model selection of the air passengers flows data
20150
16 20150
17 20144
18 20145
19 20137
20 200962

About Suzilah Ismail

Suzilah Ismail is a scholar working on Statistics and Probability, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 30 papers that have together received 267 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Malaria Research and Control (5 papers), Forecasting Techniques and Applications (4 papers), Bayesian Methods and Mixture Models (3 papers), Stock Market Forecasting Methods (3 papers), Energy Load and Power Forecasting (3 papers), Dengue and Mosquito Control Research (3 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Modeling and Simulation (31 citations), Tourism, Leisure and Hospitality Management (9 citations) and Public Health, Environmental and Occupational Health (120 citations). Suzilah Ismail has collaborated with scholars based in Malaysia, Nigeria and United Kingdom. Frequent co-authors include Robert Fildes, Yingqi Wei, Topek Omar, Rohani Ahmad, Han Lim Lee, Fadzilah Kamaludin, Zurni Omar, Rosna Awang Hashim and Norhafezah Yusof. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Forecasting.

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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