Emmanuel Sirimal Silva

3.6k citations
67 papers · 2.4k indexed · 1 hit paper · h-index 24

Emmanuel Sirimal Silva

65 papers receiving 2.3k citations

Hit Papers

The Role of ChatGPT in Data Science: How AI-Assisted Conv...219202320262024202550100150200

Peers

Emmanuel Sirimal Silva
Comparison fields: 5 of 161
  • Health Informatics 156
  • Tourism, Leisure and Hospitality Management 78
  • Management Science and Operations Research 498
  • Management Information Systems 282
  • Applied Mathematics 294
Replace Paolo Giudici with:
Paolo Giudici Italy
Vassilios Assimakopoulos Greece
Hanna Wallach United States
Dongxiao Gu China
Ying Kei Tse United Kingdom
Weishu Liu China
Han Liu China
Changyong Liang China
Ming Tang China
Alok Gupta United States
Emmanuel Sirimal Silva relative to Paolo Giudici Italy Paolo Giudici's profile →
Citations per field
00.5×10×14.7×
Paolo Giudici · 1×
Citations per year

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

The 25 scholars most cited alongside Emmanuel Sirimal Silva, 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 Emmanuel Sirimal Silva Line = papers co-authored together Emmanuel Sirimal Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 202426
3 20233
4
The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Fieldbreakdown →
2023219
5 202116
6 2020168
7 20194
8 201977
9 201960
10 20194
11 201879
12 20187
13 201825
14 201772
15 201711
16 201671
17 201623
18 201561
19 2015127
20 201427

About Emmanuel Sirimal Silva

Emmanuel Sirimal Silva is a scholar working on Management Science and Operations Research, Health Informatics and Applied Mathematics, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical and numerical algorithms (21 papers), Grey System Theory Applications (14 papers), Forecasting Techniques and Applications (9 papers), Diverse Interdisciplinary Research Innovations (7 papers), Market Dynamics and Volatility (7 papers), Blockchain Technology Applications and Security (6 papers), Advanced Statistical Methods and Models (5 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Health Informatics (156 citations), Tourism, Leisure and Hospitality Management (78 citations) and Management Science and Operations Research (498 citations). Emmanuel Sirimal Silva has collaborated with scholars based in United Kingdom, Iran and Norway. Frequent co-authors include Hossein Hassani, Xu Huang, Saeed Heravi, Francesca Bonetti, Rangan Gupta, Dag Øivind Madsen, Mansi Ghodsi, Allan Webster, George Filis and Nikolaos Antonakakis. Their work appears in journals such as Journal of Cleaner Production, Tourism Management and Annals of Tourism Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026