Anthony Truskinger

1.1k total citations
41 papers, 730 citations indexed

About

Anthony Truskinger is a scholar working on Developmental Biology, Ecology and Signal Processing. According to data from OpenAlex, Anthony Truskinger has authored 41 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Developmental Biology, 18 papers in Ecology and 17 papers in Signal Processing. Recurrent topics in Anthony Truskinger's work include Animal Vocal Communication and Behavior (35 papers), Music and Audio Processing (16 papers) and Marine animal studies overview (14 papers). Anthony Truskinger is often cited by papers focused on Animal Vocal Communication and Behavior (35 papers), Music and Audio Processing (16 papers) and Marine animal studies overview (14 papers). Anthony Truskinger collaborates with scholars based in Australia, United States and New Zealand. Anthony Truskinger's co-authors include Paul Roe, Michael Towsey, Edward T. Game, Zuzana Buřivalová, Jinglan Zhang, David M. Watson, Bradley Law, Tim Boucher, Leroy Gonsalves and Traecey Brassil and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Conservation Biology.

In The Last Decade

Anthony Truskinger

41 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Truskinger Australia 16 516 437 227 123 106 41 730
Jason Wimmer Australia 10 656 1.3× 507 1.2× 283 1.2× 81 0.7× 155 1.5× 16 797
Larissa Sayuri Moreira Sugai Brazil 11 617 1.2× 638 1.5× 126 0.6× 139 1.1× 214 2.0× 21 944
Peter Prince United Kingdom 6 347 0.7× 348 0.8× 99 0.4× 125 1.0× 156 1.5× 10 585
Patrick J. Clemins United States 14 534 1.0× 457 1.0× 180 0.8× 58 0.5× 189 1.8× 28 892
Paul Glover‐Kapfer United Kingdom 5 347 0.7× 627 1.4× 85 0.4× 223 1.8× 154 1.5× 5 804
Carlos J. Corrada-Bravo Puerto Rico 4 434 0.8× 299 0.7× 179 0.8× 81 0.7× 155 1.5× 5 583
Marconi Campos‐Cerqueira United States 18 845 1.6× 818 1.9× 246 1.1× 206 1.7× 317 3.0× 30 1.3k
Ella Browning United Kingdom 8 442 0.9× 669 1.5× 123 0.5× 325 2.6× 238 2.2× 14 1.0k
Sarab S. Sethi United Kingdom 10 273 0.5× 236 0.5× 119 0.5× 58 0.5× 54 0.5× 21 475
José Wagner Ribeiro Brazil 9 376 0.7× 453 1.0× 79 0.3× 167 1.4× 181 1.7× 15 714

Countries citing papers authored by Anthony Truskinger

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Truskinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Truskinger

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

All Works

20 of 20 papers shown
1.
Buřivalová, Zuzana, Purnomo Purnomo, Yaya Rayadin, et al.. (2022). Loss of temporal structure of tropical soundscapes with intensifying land use in Borneo. The Science of The Total Environment. 852. 158268–158268. 17 indexed citations
2.
Roe, Paul, Richard A. Fuller, Paul G. McDonald, et al.. (2021). The Australian Acoustic Observatory. Methods in Ecology and Evolution. 12(10). 1802–1808. 55 indexed citations
3.
Zhang, Jinglan, Michael Towsey, Anthony Truskinger, et al.. (2021). A novel frog chorusing recognition method with acoustic indices and machine learning. Future Generation Computer Systems. 125. 485–495. 10 indexed citations
4.
Law, Bradley, et al.. (2021). Mini‐acoustic sensors reveal occupancy and threats to koalas Phascolarctos cinereus in private native forests. Journal of Applied Ecology. 59(3). 835–846. 15 indexed citations
5.
Law, Bradley, Leroy Gonsalves, Joanna M. Burgar, et al.. (2021). Estimating and validating koala Phascolarctos cinereus density estimates from acoustic arrays using spatial count modelling. Wildlife Research. 49(5). 438–448. 10 indexed citations
6.
Smith, David, Anthony Truskinger, Paul Roe, & David M. Watson. (2020). Do acoustically detectable species reflect overall diversity? A case study from Australia’s arid zone. Remote Sensing in Ecology and Conservation. 6(3). 286–300. 13 indexed citations
7.
Zhang, Jinglan, Michael Towsey, Anthony Truskinger, et al.. (2020). Data selection in frog chorusing recognition with acoustic indices. Ecological Informatics. 60. 101160–101160. 10 indexed citations
8.
Towsey, Michael, et al.. (2020). QutEcoacoustics/audio-analysis: Ecoacoustics Audio Analysis Software v20.11.2.0. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
9.
Law, Bradley, et al.. (2019). Using Passive Acoustic Recording and Automated Call Identification to Survey Koalas in the Southern Forests of New South Wales. Australian Zoologist. 40(3). 477–486. 10 indexed citations
10.
Buřivalová, Zuzana, Purnomo Purnomo, Timothy Boucher, et al.. (2019). Using soundscapes to investigate homogenization of tropical forest diversity in selectively logged forests. Journal of Applied Ecology. 56(11). 2493–2504. 35 indexed citations
11.
12.
Law, Bradley, Gabriele Caccamo, Paul Roe, et al.. (2017). Development and field validation of a regional, management‐scale habitat model: A koala Phascolarctos cinereus case study. Ecology and Evolution. 7(18). 7475–7489. 37 indexed citations
13.
Brereton, Margot, et al.. (2017). Collaborative Exploration and Sensemaking of Big Environmental Sound Data. Computer Supported Cooperative Work (CSCW). 26(4-6). 693–731. 20 indexed citations
14.
15.
Towsey, Michael, Anthony Truskinger, & Paul Roe. (2015). The navigation and visualisation of environmental audio using zooming spectrograms. QUT ePrints (Queensland University of Technology). 2 indexed citations
16.
Truskinger, Anthony, Michael Towsey, & Paul Roe. (2014). Decision support for the efficient annotation of bioacoustic events. Ecological Informatics. 25. 14–21. 7 indexed citations
17.
Zhang, Jinglan, et al.. (2013). Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition. QUT ePrints (Queensland University of Technology). 27(2). 1519–1524. 11 indexed citations
18.
Zhang, Jinglan, et al.. (2013). Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 27(2). 1519–1524. 7 indexed citations
19.
Towsey, Michael, et al.. (2011). Acoustic component detection for automatic species recognition in environmental monitoring. 514–519. 15 indexed citations
20.
Truskinger, Anthony, et al.. (2011). The Adaptive Collection and Analysis of Distributed Multimedia Sensor Data. 1. 218–223. 1 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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