Dinithi Nallaperuma

443 total citations
7 papers, 305 citations indexed

About

Dinithi Nallaperuma is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Dinithi Nallaperuma has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Health Information Management. Recurrent topics in Dinithi Nallaperuma's work include Traffic control and management (2 papers), Transportation Planning and Optimization (2 papers) and Traffic Prediction and Management Techniques (2 papers). Dinithi Nallaperuma is often cited by papers focused on Traffic control and management (2 papers), Transportation Planning and Optimization (2 papers) and Traffic Prediction and Management Techniques (2 papers). Dinithi Nallaperuma collaborates with scholars based in Australia, Sri Lanka and Papua New Guinea. Dinithi Nallaperuma's co-authors include Daswin De Silva, Damminda Alahakoon, Rashmika Nawaratne, Thimal Kempitiya, Su Nguyen, Achini Adikari, Tharindu Bandaragoda, Xinghuo Yu, Naveen Chilamkurti and Brian M. Devitt and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Future Generation Computer Systems and Neural Computing and Applications.

In The Last Decade

Dinithi Nallaperuma

7 papers receiving 288 citations

Peers

Dinithi Nallaperuma
Comparison fields: 5 of 71
  • Artificial Intelligence 99
  • Building and Construction 80
  • Computer Networks and Communications 49
  • Information Systems 47
  • Control and Systems Engineering 46
Replace Thimal Kempitiya with:
Thimal Kempitiya Australia
Ayesha Atta Pakistan
Cheng Zhu China
Menglin Li China
Marin Lujak Spain
Omair Shafiq Canada
Erwin Harahap Indonesia
Omar Dib China
Thorsten Schnier United Kingdom
Jain-Shing Wu Taiwan
Thimal Kempitiya Australia View profile →
Citations per field, relative to Dinithi Nallaperuma
Dinithi Nallaperuma · 1×
Citations per year, relative to Dinithi Nallaperuma
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Countries citing papers authored by Dinithi Nallaperuma

Since Specialization
Citations

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

Fields of papers citing papers by Dinithi Nallaperuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinithi Nallaperuma

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 24
2 199
3 42
4 22
5 14
6 2
7 2

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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