Hisham El-Shishiny

Management Science and Operations Research · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 30 citations into it; #4,414 of 11,946 by trust here, #4,746 by citations
• Economics and Econometrics — 27 citations into it
• Statistics and Probability — 19 citations into it
• Evaluation & Benchmarks — 9 citations into it; #1,499 of 3,147 by trust here, #2,330 by citations
• Tourism, Leisure and Hospitality Management — 8 citations into it
• Artificial Intelligence — 7 citations into it; #16,345 of 35,345 by trust here, #19,439 by citations
• Sociology and Political Science — 7 citations into it
• Time-Series & Forecasting — 7 citations into it; #144 of 381 by trust here, #129 by citations

Whom Hisham El-Shishiny trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Everette S. Gardner Jr.
2. Spyros Makridakis
3. Allan G. Timmermann
4. Rob J Hyndman
5. David John Cameron MacKay
6. Ron Kohavi
7. Ramesh Sharda
8. Thomas G. Dietterich
9. Marco Aiolfi
10. Fong-Lin Chu

Who trusts Hisham El-Shishiny overall

1. Souhaib Ben Taieb
2. Spyros Makridakis
3. Evangelos Spiliotis
4. Weizhong Yan
5. Iis P. Tussyadiah
6. Nikolaos Kourentzes

Papers from Hisham El-Shishiny's perspective

Ordered by how strongly the researchers Hisham El-Shishiny trusts endorse each paper. Same corpus, a different order for every researcher.

1. Combining forecasts: A review and annotated bibliography
2. The Combination of Forecasts
3. Combination forecasts of output growth in a seven-country data set
4. Chapter 4 Forecast Combinations
5. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II
6. Out-of-sample tests of forecasting accuracy: an analysis and review
7. Exponential smoothing: The state of the art
8. Neural Networks for Pattern Recognition
9. Hierarchical forecasts for Australian domestic tourism
10. Another look at measures of forecast accuracy

Their papers

• Combination of long term and short term forecasts, with application to tourism demand forecasting (2011) — 166 citations
• Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition (2011) — 157 citations
• An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010) — 764 citations