Nishan Mills

35 total papers · 565 total citations
30 papers, 321 citations indexed

About

Nishan Mills is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nishan Mills has authored 30 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Nishan Mills's work include Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (6 papers) and AI in Service Interactions (5 papers). Nishan Mills is often cited by papers focused on Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (6 papers) and AI in Service Interactions (5 papers). Nishan Mills collaborates with scholars based in Australia, United States and Sweden. Nishan Mills's co-authors include Daswin De Silva, Damminda Alahakoon, Andrew Jennings, Richard Gray, Milos Manic, Donna Burnett, Achini Adikari, Sze-Meng Jojo Wong, Weranja Ranasinghe and Tharindu Bandaragoda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Nishan Mills

26 papers receiving 303 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nishan Mills 112 51 48 39 38 30 321
Saverio Delpriori 133 1.2× 50 1.0× 20 0.4× 39 1.0× 6 0.2× 23 356
Marios Constantinides 49 0.4× 55 1.1× 18 0.4× 38 1.0× 10 0.3× 45 312
Theodor Panagiotakopoulos 61 0.5× 54 1.1× 14 0.3× 15 0.4× 9 0.2× 51 362
Bogdan Iancu 52 0.5× 57 1.1× 12 0.3× 14 0.4× 7 0.2× 34 315
Jidi Zhao 55 0.5× 47 0.9× 8 0.2× 25 0.6× 4 0.1× 30 288
Salih Tutun 102 0.9× 73 1.4× 20 0.4× 39 1.0× 21 0.6× 17 349
Pornchai Mongkolnam 85 0.8× 16 0.3× 21 0.4× 54 1.4× 11 0.3× 38 298
Simon Wells 104 0.9× 13 0.3× 17 0.4× 16 0.4× 14 0.4× 22 308
Matthew L. Lee 49 0.4× 18 0.4× 47 1.0× 48 1.2× 14 0.4× 20 347
Rodrigo Simon Bavaresco 92 0.8× 6 0.1× 34 0.7× 40 1.0× 9 0.2× 15 283

Countries citing papers authored by Nishan Mills

Since Specialization
Citations

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

Fields of papers citing papers by Nishan Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishan Mills

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

All Works

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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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