Emmanuel Sirimal Silva

3.6k total citations · 1 hit paper
67 papers, 2.4k citations indexed

About

Emmanuel Sirimal Silva is a scholar working on Management Science and Operations Research, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, Emmanuel Sirimal Silva has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 21 papers in Applied Mathematics and 12 papers in Artificial Intelligence. Recurrent topics in Emmanuel Sirimal Silva's work include Statistical and numerical algorithms (21 papers), Grey System Theory Applications (14 papers) and Forecasting Techniques and Applications (9 papers). Emmanuel Sirimal Silva is often cited by papers focused on Statistical and numerical algorithms (21 papers), Grey System Theory Applications (14 papers) and Forecasting Techniques and Applications (9 papers). Emmanuel Sirimal Silva collaborates with scholars based in United Kingdom, Iran and Norway. Emmanuel Sirimal Silva's co-authors include Hossein Hassani, Xu Huang, Saeed Heravi, Francesca Bonetti, Rangan Gupta, Dag Øivind Madsen, Mansi Ghodsi, Allan Webster, Nikolaos Antonakakis and George Filis and has published in prestigious journals such as Journal of Cleaner Production, Tourism Management and Annals of Tourism Research.

In The Last Decade

Emmanuel Sirimal Silva

65 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field

2023 219 citations Hossein Hassani, Emmanuel Sirimal Silva Big Data and Cognitive Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emmanuel Sirimal Silva United Kingdom	24	498	434	401	378	333	67	2.4k
Paolo Giudici Italy	40	641 1.3×	1.5k 3.4×	155 0.4×	784 2.1×	1.4k 4.3×	213	4.6k
Michael H. Breitner Germany	24	139 0.3×	293 0.7×	344 0.9×	433 1.1×	98 0.3×	173	1.8k
Weishu Liu China	20	272 0.5×	184 0.4×	242 0.6×	237 0.6×	245 0.7×	44	2.3k
Vassilios Assimakopoulos Greece	25	2.2k 4.5×	540 1.2×	122 0.3×	131 0.3×	545 1.6×	74	3.8k
Yukun Bao China	46	1.0k 2.1×	1.1k 2.5×	839 2.1×	520 1.4×	603 1.8×	119	5.7k
Martin Eling Switzerland	36	856 1.7×	166 0.4×	184 0.5×	690 1.8×	2.1k 6.4×	164	3.8k
Han Liu China	17	144 0.3×	314 0.7×	304 0.8×	91 0.2×	270 0.8×	57	1.8k
P. Vigneswara Ilavarasan India	26	128 0.3×	395 0.9×	994 2.5×	420 1.1×	259 0.8×	114	2.7k
David Wright United States	24	48 0.1×	345 0.8×	556 1.4×	266 0.7×	47 0.1×	82	1.8k
Ying Kei Tse United Kingdom	33	228 0.5×	718 1.7×	428 1.1×	245 0.6×	633 1.9×	97	3.7k

Countries citing papers authored by Emmanuel Sirimal Silva

Since Specialization

Citations

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

Fields of papers citing papers by Emmanuel Sirimal Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel Sirimal Silva. 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 Emmanuel Sirimal Silva. The network helps show where Emmanuel Sirimal Silva may publish in the future.

Co-authorship network of co-authors of Emmanuel Sirimal Silva

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hassani, Hossein & Emmanuel Sirimal Silva. (2024). Predictions from Generative Artificial Intelligence Models: Towards a New Benchmark in Forecasting Practice. Information. 15(6). 291–291. 6 indexed citations

Farhat, Faiza, Emmanuel Sirimal Silva, Hossein Hassani, et al.. (2024). The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. Frontiers in Artificial Intelligence. 6. 1270749–1270749. 26 indexed citations

Colucci, Mariachiara, et al.. (2023). Assessing consumers’ propensity towards product-service systems in the fashion industry: A cross-national comparison between Russia and Italy. Journal of Cleaner Production. 428. 139302–139302. 3 indexed citations

Hassani, Hossein & Emmanuel Sirimal Silva. (2023). The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field. Big Data and Cognitive Computing. 7(2). 62–62. 219 indexed citations breakdown →

Silva, Emmanuel Sirimal & Hossein Hassani. (2022). ‘Modelling’ UK tourism demand using fashion retail sales. Annals of Tourism Research. 95. 103428–103428. 9 indexed citations

Hur, Youngjin, Nancy L. Etcoff, & Emmanuel Sirimal Silva. (2022). Can Fashion Aesthetics be Studied Empirically? The Preference Structure of Everyday Clothing Choices. Empirical Studies of the Arts. 41(2). 525–545. 1 indexed citations

Hassani, Hossein, Xu Huang, & Emmanuel Sirimal Silva. (2019). Fusing Big Data, Blockchain and Cryptocurrency. 16 indexed citations

Silva, Emmanuel Sirimal, et al.. (2019). Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends. Social Sciences. 8(4). 111–111. 77 indexed citations

Hassani, Hossein, Xu Huang, & Emmanuel Sirimal Silva. (2018). Digitalisation and Big Data Mining in Banking. Big Data and Cognitive Computing. 2(3). 18–18. 79 indexed citations

10.

Hassani, Hossein, et al.. (2018). Time Series Imputation via L1 Norm-Based Singular Spectrum Analysis. Fluctuation and Noise Letters. 17(2). 1850017–1850017. 7 indexed citations

11.

Hassani, Hossein, Emmanuel Sirimal Silva, Rangan Gupta, & Sonali Das. (2018). Predicting global temperature anomaly: A definitive investigation using an ensemble of twelve competing forecasting models. Physica A Statistical Mechanics and its Applications. 509. 121–139. 22 indexed citations

12.

Silva, Emmanuel Sirimal, et al.. (2018). Forecasting with auxiliary information in forecasts using multivariate singular spectrum analysis. Information Sciences. 479. 214–230. 6 indexed citations

13.

Hassani, Hossein, et al.. (2017). The role of innovation and technology in sustaining the petroleum and petrochemical industry. Technological Forecasting and Social Change. 119. 1–17. 72 indexed citations

14.

Silva, Emmanuel Sirimal, et al.. (2017). Cross country relations in European tourist arrivals. Annals of Tourism Research. 63. 151–168. 34 indexed citations

15.

Ghodsi, Mansi, et al.. (2017). Vector and recurrent singular spectrum analysis: which is better at forecasting?. Journal of Applied Statistics. 45(10). 1872–1899. 18 indexed citations

16.

Hassani, Hossein, et al.. (2017). Optimizing bicoid signal extraction. Mathematical Biosciences. 294. 46–56. 11 indexed citations

17.

Hassani, Hossein & Emmanuel Sirimal Silva. (2015). A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts. Econometrics. 3(3). 590–609. 127 indexed citations

18.

Silva, Emmanuel Sirimal & Hossein Hassani. (2015). On the use of singular spectrum analysis for forecasting U.S. trade before, during and after the 2008 recession. International Economics. 141. 34–49. 42 indexed citations

19.

Hassani, Hossein, et al.. (2015). Forecasting the price of gold. Applied Economics. 47(39). 4141–4152. 61 indexed citations

20.

Hassani, Hossein, Gilbert Saporta, & Emmanuel Sirimal Silva. (2014). Data Mining and Official Statistics: The Past, the Present and the Future. Big Data. 2(1). 34–43. 27 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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