Daniel Parrott

783 total citations · 1 hit paper
4 papers, 561 citations indexed

About

Daniel Parrott is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Instrumentation. According to data from OpenAlex, Daniel Parrott has authored 4 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Astronomy and Astrophysics and 1 paper in Instrumentation. Recurrent topics in Daniel Parrott's work include Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (2 papers) and Astronomy and Astrophysical Research (1 paper). Daniel Parrott is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Evolutionary Algorithms and Applications (2 papers) and Astronomy and Astrophysical Research (1 paper). Daniel Parrott collaborates with scholars based in Australia. Daniel Parrott's co-authors include Xiaodong Li and Vic Ciesielski and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation and RMIT Research Repository (RMIT University Library).

In The Last Decade

Daniel Parrott

3 papers receiving 533 citations

Hit Papers

Locating and tracking multiple dynamic optima by a partic... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Parrott Australia 3 449 279 106 43 41 4 561
Muhammad Rizwan Tanweer Singapore 8 360 0.8× 198 0.7× 96 0.9× 80 1.9× 41 1.0× 18 505
Alain Pétrowski France 7 448 1.0× 328 1.2× 51 0.5× 52 1.2× 28 0.7× 9 593
Jason G. Digalakis Greece 6 430 1.0× 242 0.9× 60 0.6× 54 1.3× 43 1.0× 6 567
Arturo Hernández Aguirre Mexico 11 354 0.8× 253 0.9× 49 0.5× 52 1.2× 23 0.6× 27 474
Mei-qing An China 10 310 0.7× 139 0.5× 66 0.6× 49 1.1× 31 0.8× 13 442
Yang Zhilian China 6 293 0.7× 108 0.4× 131 1.2× 78 1.8× 33 0.8× 15 448
Andrea Caponio Italy 6 299 0.7× 170 0.6× 98 0.9× 109 2.5× 28 0.7× 8 497
Tim Hendtlass Australia 14 291 0.6× 193 0.7× 42 0.4× 40 0.9× 52 1.3× 45 423
Rasmus K. Ursem Denmark 10 409 0.9× 258 0.9× 92 0.9× 109 2.5× 17 0.4× 14 583
Karin Zielinski Germany 8 244 0.5× 193 0.7× 72 0.7× 87 2.0× 47 1.1× 14 411

Countries citing papers authored by Daniel Parrott

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Parrott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Parrott

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

All Works

4 of 4 papers shown
1.
Parrott, Daniel. (2020). Tycho Tracker: A New Tool to Facilitate the Discovery and Recovery of Asteroids Using Synthetic Tracking and Modern GPU Hardware (Abstract). 48(2). 262.
2.
Parrott, Daniel & Xiaodong Li. (2006). Locating and tracking multiple dynamic optima by a particle swarm model using speciation. IEEE Transactions on Evolutionary Computation. 10(4). 440–458. 412 indexed citations breakdown →
3.
Parrott, Daniel, Xiaodong Li, & Vic Ciesielski. (2005). Multi-objective Techniques in Genetic Programming for Evolving Classifiers. RMIT Research Repository (RMIT University Library). 2. 1141–1148. 33 indexed citations
4.
Parrott, Daniel & Xiaodong Li. (2004). A particle swarm model for tracking multiple peaks in a dynamic environment using speciation. RMIT Research Repository (RMIT University Library). 98–103. 116 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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