Tom Havelock

1.9k total citations · 1 hit paper
14 papers, 850 citations indexed

About

Tom Havelock is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tom Havelock has authored 14 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Havelock's work include Medical Image Segmentation Techniques (3 papers), Influenza Virus Research Studies (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Tom Havelock is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Influenza Virus Research Studies (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Tom Havelock collaborates with scholars based in United Kingdom, United States and Australia. Tom Havelock's co-authors include D. Laws, Fergus Gleeson, R Teoh, Adrian V. S. Hill, Sarah C. Gilbert, Saul N. Faust, Yanchun Peng, Susanne H. Sheehy, Alexandra J. Spencer and Tao Dong and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Tom Havelock

14 papers receiving 824 citations

Hit Papers

align trajectories

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.

Pleural procedures and thoracic ultrasound: British Thoracic Society pleural disease guideline 2010

2010 488 citations Tom Havelock, R Teoh et al. Thorax profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Havelock United Kingdom	6	442	348	226	159	148	14	850
Felipe Andreo Spain	17	637 1.4×	95 0.3×	346 1.5×	133 0.8×	104 0.7×	61	1.1k
Fumito Okada Japan	18	392 0.9×	86 0.2×	329 1.5×	173 1.1×	117 0.8×	62	901
Klaus Nielsen Denmark	15	627 1.4×	61 0.2×	84 0.4×	350 2.2×	45 0.3×	37	1.1k
Naho Kagiyama Japan	16	503 1.1×	35 0.1×	278 1.2×	84 0.5×	31 0.2×	51	868
Karlis Pauksen Sweden	18	104 0.2×	73 0.2×	689 3.0×	138 0.9×	246 1.7×	34	1.1k
Asami Ono Japan	15	213 0.5×	34 0.1×	204 0.9×	108 0.7×	26 0.2×	32	496
Yuhei Ito Japan	14	232 0.5×	29 0.1×	326 1.4×	47 0.3×	43 0.3×	68	668
James R. Bonner United States	7	128 0.3×	68 0.2×	189 0.8×	44 0.3×	95 0.6×	8	488
Keitaro Nakamoto Japan	13	202 0.5×	23 0.1×	182 0.8×	65 0.4×	117 0.8×	63	557
Michael C. Soult United States	13	174 0.4×	60 0.2×	42 0.2×	147 0.9×	25 0.2×	36	433

Countries citing papers authored by Tom Havelock

Since Specialization

Citations

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

Fields of papers citing papers by Tom Havelock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Havelock

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

All Works

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14 of 14 papers shown

Dias, James A., et al.. (2022). Optimisation of COVID‐19 diagnostic pathways in acute hospital admissions to prevent nosocomial transmission. The Clinical Respiratory Journal. 16(9). 618–622. 1 indexed citations

Cui, Zheng, Sasan Mahmoodi, Matthew Guy, et al.. (2019). A general framework in single and multi-modality registration for lung imaging analysis using statistical prior shapes. Computer Methods and Programs in Biomedicine. 187. 105232–105232. 3 indexed citations

Bliss, Carly M., Georgina Bowyer, Nicholas Anagnostou, et al.. (2018). Assessment of novel vaccination regimens using viral vectored liver stage malaria vaccines encoding ME-TRAP. Scientific Reports. 8(1). 3390–3390. 29 indexed citations

Cui, Zheng, Sasan Mahmoodi, Joy Conway, et al.. (2017). A Novel Non-rigid Registration Method Based on Nonparametric Statistical Deformation Model for Medical Image Analysis. ePrints Soton (University of Southampton). 1. 1–3. 1 indexed citations

Rupani, Hitasha, Rocío T. Martínez-Núñez, Patrick Dennison, et al.. (2016). Toll-like Receptor 7 Is Reduced in Severe Asthma and Linked to an Altered MicroRNA Profile. American Journal of Respiratory and Critical Care Medicine. 194(1). 26–37. 50 indexed citations

Conforti, Franco, Elizabeth R. Davies, Mark G. Jones, et al.. (2016). Evaluation of romidepsin (FK228) as a potential therapy for idiopathic pulmonary fibrosis (IPF). PA4039–PA4039. 1 indexed citations

Nicholas, Ben, Karl J. Staples, Stefan Moese, et al.. (2015). A Novel Lung Explant Model for the Ex Vivo Study of Efficacy and Mechanisms of Anti-Influenza Drugs. The Journal of Immunology. 194(12). 6144–6154. 42 indexed citations

Bruton, Anne, et al.. (2014). The Relationship Between Crackle Characteristics and Airway Morphology in COPD. Respiratory Care. 60(3). 412–421. 5 indexed citations

Mahmoodi, Sasan, et al.. (2013). Robust similarity registration technique for volumetric shapes represented by characteristic functions. Pattern Recognition. 47(3). 1144–1158. 2 indexed citations

10.

Conway, Joy, John Fleming, Michael J. Bennett, & Tom Havelock. (2013). The Co-imaging of Gamma Camera Measurements of Aerosol Deposition and Respiratory Anatomy. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 26(3). 123–130. 16 indexed citations

11.

Lillie, Patrick, Tamara Berthoud, Timothy J. Powell, et al.. (2012). Preliminary Assessment of the Efficacy of a T-Cell–Based Influenza Vaccine, MVA-NP+M1, in Humans. Clinical Infectious Diseases. 55(1). 19–25. 209 indexed citations

12.

Havelock, Tom, et al.. (2012). P113 Secreted Lysyl Oxidase is Elevated in the Bronchoalveolar Lavage Fluid of Patients with Idiopathic Pulmonary Fibrosis. Thorax. 67(Suppl 2). A111.2–A111. 2 indexed citations

13.

Havelock, Tom, R Teoh, D. Laws, Nick Maskell, & Fergus Gleeson. (2010). Authors' response. Thorax. 66(9). 829–829. 1 indexed citations

14.

Havelock, Tom, et al.. (2010). Pleural procedures and thoracic ultrasound: British Thoracic Society pleural disease guideline 2010. Thorax. 65(Suppl 2). i61–i76. 488 indexed citations breakdown →

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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