Jack Greenhalgh

1.1k total citations · 1 hit paper
17 papers, 703 citations indexed

About

Jack Greenhalgh is a scholar working on Ecology, Oceanography and Developmental Biology. According to data from OpenAlex, Jack Greenhalgh has authored 17 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 5 papers in Oceanography and 5 papers in Developmental Biology. Recurrent topics in Jack Greenhalgh's work include Underwater Acoustics Research (5 papers), Cutaneous Melanoma Detection and Management (5 papers) and Animal Vocal Communication and Behavior (5 papers). Jack Greenhalgh is often cited by papers focused on Underwater Acoustics Research (5 papers), Cutaneous Melanoma Detection and Management (5 papers) and Animal Vocal Communication and Behavior (5 papers). Jack Greenhalgh collaborates with scholars based in United Kingdom, Australia and France. Jack Greenhalgh's co-authors include Majid Mirmehdi, Ioulios Palamaras, Michael Phillips, Anthony Bewley, Giuseppe Argenziano, G.N. Wali, W. Jaffe, Rubeta Matin, Rob S. James and Camille Desjonquères and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Applied Ecology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jack Greenhalgh

17 papers receiving 674 citations

Hit Papers

Real-Time Detection and Recognition of Road Traffic Signs 2012 2026 2016 2021 2012 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-Time Detection and Recognition of Road Traffic Signs
    2012 289 citations Jack Greenhalgh, Majid Mirmehdi IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Greenhalgh United Kingdom 11 362 233 144 132 62 17 703
Abhishek Dutta United Kingdom 5 287 0.8× 62 0.3× 8 0.1× 94 0.7× 22 0.4× 14 735
Chongruo Wu United States 9 435 1.2× 116 0.5× 16 0.1× 240 1.8× 22 0.4× 11 866
Yoshito Mekada Japan 13 319 0.9× 64 0.3× 42 0.3× 68 0.5× 28 0.5× 64 575
Zhen Zuo China 14 478 1.3× 113 0.5× 72 0.5× 231 1.8× 6 0.1× 41 849
Romuere Silva Brazil 19 591 1.6× 119 0.5× 113 0.8× 526 4.0× 5 0.1× 67 1.1k
Trung Pham Australia 13 393 1.1× 23 0.1× 104 0.7× 109 0.8× 11 0.2× 34 1.0k
Sourav Mishra India 7 127 0.4× 34 0.1× 18 0.1× 150 1.1× 12 0.2× 21 534
Bhakti Baheti India 8 248 0.7× 39 0.2× 24 0.2× 99 0.8× 33 0.5× 14 528
Song Guo China 15 465 1.3× 53 0.2× 27 0.2× 92 0.7× 16 0.3× 53 1.1k

Countries citing papers authored by Jack Greenhalgh

Since Specialization
Citations

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

Fields of papers citing papers by Jack Greenhalgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Greenhalgh

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

All Works

17 of 17 papers shown
1.
Bradfer‐Lawrence, Tom, Jérémy S. P. Froidevaux, P Guinet, et al.. (2025). Mitigating bias in long‐term terrestrial ecoacoustic studies. Journal of Applied Ecology. 62(4). 761–772. 1 indexed citations
2.
Desjonquères, Camille, Simon Linke, Jack Greenhalgh, Fanny Rybak, & Jérôme Sueur. (2024). The potential of acoustic monitoring of aquatic insects for freshwater assessment. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1904). 20230109–20230109. 5 indexed citations
3.
Greenhalgh, Jack, Rebecca Banks, Rupert A. Collins, et al.. (2024). Environmental DNA can inform the trade‐off between proactive and reactive strategies for crayfish conservation. Environmental DNA. 6(3). 2 indexed citations
4.
5.
Palamaras, Ioulios, et al.. (2023). P63 Effectiveness of an image-analysing artificial intelligence-based digital health technology to diagnose nonmelanoma skin cancer and benign skin lesions. British Journal of Dermatology. 188(Supplement_4). 2 indexed citations
6.
Greenhalgh, Jack, Martin J. Genner, & Gareth Jones. (2023). Diel variation in insect‐dominated temperate pond soundscapes and guidelines for survey design. Freshwater Biology. 68(7). 1148–1160. 5 indexed citations
7.
8.
Greenhalgh, Jack, Rupert A. Collins, Martin J. Genner, et al.. (2022). Environmental DNA‐based methods detect the invasion front of an advancing signal crayfish population. Environmental DNA. 4(3). 596–607. 11 indexed citations
9.
Abrahams, Carlos, Camille Desjonquères, & Jack Greenhalgh. (2021). Pond Acoustic Sampling Scheme: A draft protocol for rapid acoustic data collection in small waterbodies. Ecology and Evolution. 11(12). 7532–7543. 9 indexed citations
10.
Greenhalgh, Jack, et al.. (2021). Ecoacoustics as a novel tool for assessing pond restoration success: Results of a pilot study. Aquatic Conservation Marine and Freshwater Ecosystems. 31(8). 2017–2028. 17 indexed citations
11.
Greenhalgh, Jack, Martin J. Genner, Gareth Jones, & Camille Desjonquères. (2020). The role of freshwater bioacoustics in ecological research. Wiley Interdisciplinary Reviews Water. 7(3). 19 indexed citations
12.
Phillips, Michael, et al.. (2019). Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy. Dermatology Practical & Conceptual. 10(1). e2020011–e2020011. 43 indexed citations
13.
Phillips, Michael, W. Jaffe, Rubeta Matin, et al.. (2019). Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions. JAMA Network Open. 2(10). e1913436–e1913436. 143 indexed citations
14.
Greenhalgh, Jack & Majid Mirmehdi. (2015). Detection and Recognition of Painted Road Surface Markings. 21 indexed citations
15.
Greenhalgh, Jack & Majid Mirmehdi. (2014). Recognizing Text-Based Traffic Signs. IEEE Transactions on Intelligent Transportation Systems. 16(3). 1360–1369. 82 indexed citations
16.
Greenhalgh, Jack & Majid Mirmehdi. (2012). Real-Time Detection and Recognition of Road Traffic Signs. IEEE Transactions on Intelligent Transportation Systems. 13(4). 1498–1506. 289 indexed citations breakdown →
17.
Greenhalgh, Jack & Majid Mirmehdi. (2012). Traffic Sign Recognition Using Mser And Random Forests. Zenodo (CERN European Organization for Nuclear Research). 1935–1939. 22 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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