Carl Chalmers

1.5k total citations
39 papers, 798 citations indexed

About

Carl Chalmers is a scholar working on Ecology, Computer Vision and Pattern Recognition and Ecological Modeling. According to data from OpenAlex, Carl Chalmers has authored 39 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Ecological Modeling. Recurrent topics in Carl Chalmers's work include Wildlife Ecology and Conservation (8 papers), Species Distribution and Climate Change (7 papers) and Smart Grid Energy Management (6 papers). Carl Chalmers is often cited by papers focused on Wildlife Ecology and Conservation (8 papers), Species Distribution and Climate Change (7 papers) and Smart Grid Energy Management (6 papers). Carl Chalmers collaborates with scholars based in United Kingdom, Netherlands and United States. Carl Chalmers's co-authors include Paul Fergus, Atif Waraich, Mohammed Al-Khafajiy, Thar Baker, Hoshang Kolivand, Muhammad Asim, Muhammad Fahim, Serge A. Wich, Steven N. Longmore and A. Piel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and IEEE Access.

In The Last Decade

Carl Chalmers

36 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Chalmers United Kingdom 15 160 151 123 107 105 39 798
Lukun Wang China 13 181 1.1× 85 0.6× 152 1.2× 34 0.3× 81 0.8× 30 713
Rehanullah Khan Pakistan 12 211 1.3× 125 0.8× 211 1.7× 57 0.5× 96 0.9× 32 1.1k
Augusto Salazar Colombia 12 228 1.4× 65 0.4× 78 0.6× 96 0.9× 23 0.2× 37 514
Xin Miao China 9 220 1.4× 51 0.3× 136 1.1× 65 0.6× 210 2.0× 21 739
Abu Sufian India 11 312 1.9× 96 0.6× 156 1.3× 24 0.2× 84 0.8× 47 807
Jiangping Wang China 14 150 0.9× 13 0.1× 62 0.5× 82 0.8× 50 0.5× 80 836
Mohamed Esmail Karar Egypt 17 193 1.2× 58 0.4× 233 1.9× 35 0.3× 142 1.4× 56 971
Aki Härmä Netherlands 18 321 2.0× 31 0.2× 246 2.0× 110 1.0× 133 1.3× 85 1.4k
Yuzhong Shen United States 16 257 1.6× 46 0.3× 68 0.6× 56 0.5× 39 0.4× 91 739
Zohaib Mushtaq Pakistan 19 101 0.6× 75 0.5× 232 1.9× 23 0.2× 82 0.8× 61 980

Countries citing papers authored by Carl Chalmers

Since Specialization
Citations

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

Fields of papers citing papers by Carl Chalmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Chalmers

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Chalmers. A scholar is included among the top collaborators of Carl Chalmers 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 Carl Chalmers. Carl Chalmers 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.
Hill, Russell A., Hilary Chappell, K. Holden, et al.. (2025). Increasing citizen scientist accuracy with artificial intelligence on UK camera‐trap data. Remote Sensing in Ecology and Conservation. 11(6). 641–655.
2.
Chalmers, Carl, et al.. (2025). AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. Remote Sensing. 17(5). 769–769. 2 indexed citations
3.
Fergus, Paul, Carl Chalmers, Stuart Nixon, et al.. (2024). Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. Sensors. 24(24). 8122–8122. 1 indexed citations
4.
Kissling, W. Daniel, Julian Evans, Tom D. Breeze, et al.. (2024). Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site. Basic and Applied Ecology. 79. 141–152. 7 indexed citations
5.
Fergus, Paul, Carl Chalmers, Steven N. Longmore, et al.. (2023). Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote Sensing. 15(11). 2730–2730. 11 indexed citations
6.
Chalmers, Carl, Paul Fergus, Serge A. Wich, et al.. (2023). Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote Sensing. 15(10). 2638–2638. 15 indexed citations
7.
McShea, William J., Hila Shamon, Michael A. Tabak, et al.. (2022). An evaluation of platforms for processing camera‐trap data using artificial intelligence. Methods in Ecology and Evolution. 14(2). 459–477. 67 indexed citations
8.
Chalmers, Carl, et al.. (2022). Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors. 22(14). 5386–5386. 10 indexed citations
9.
Reilly, Denis, et al.. (2022). The Categorical Data Conundrum: Heuristics for Classification Problems—A Case Study on Domestic Fire Injuries. IEEE Access. 10. 70113–70125. 13 indexed citations
10.
Chalmers, Carl, et al.. (2022). Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors. 22(9). 3166–3166. 45 indexed citations
11.
Jermak, Helen, David R. Law, Carl Chalmers, et al.. (2022). Optimising rapid autonomous transient classifications with the New Robotic Telescope.. 102–102.
12.
Fergus, Paul & Carl Chalmers. (2022). Applied Deep Learning. 7 indexed citations
13.
Chalmers, Carl, Paul Fergus, Serge A. Wich, & Steven N. Longmore. (2021). Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. Liverpool John Moores University. 1–7. 14 indexed citations
14.
Chalmers, Carl, et al.. (2021). An Evaluation of the Factors Affecting ‘Poacher’ Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors. 21(12). 4074–4074. 18 indexed citations
15.
Reilly, Denis, et al.. (2021). Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access. 9. 49990–50000. 1 indexed citations
16.
Piel, A., et al.. (2021). Noninvasive Technologies for Primate Conservation in the 21st Century. International Journal of Primatology. 43(1). 133–167. 28 indexed citations
17.
Fergus, Paul, et al.. (2020). SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. Liverpool John Moores University. 6 indexed citations
18.
Fergus, Paul, et al.. (2018). Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. Liverpool John Moores University. 1–8. 33 indexed citations
19.
Khalaf, Mohammed, Abir Hussain, Robert Keight, et al.. (2017). Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. 232–237. 17 indexed citations
20.
Fergus, Paul, et al.. (2017). Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. Computers in Biology and Medicine. 93. 7–16. 66 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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Rankless by CCL
2026