Niall Hardy

1.9k total citations
37 papers, 719 citations indexed

About

Niall Hardy is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Niall Hardy has authored 37 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 19 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Niall Hardy's work include Colorectal Cancer Surgical Treatments (15 papers), Colorectal Cancer Screening and Detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Niall Hardy is often cited by papers focused on Colorectal Cancer Surgical Treatments (15 papers), Colorectal Cancer Screening and Detection (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Niall Hardy collaborates with scholars based in Ireland, Netherlands and Iraq. Niall Hardy's co-authors include H. Deramond, C. Depriester, Franck Grados, Patrice Fardellone, Ronan A. Cahill, Jeffrey Dalli, Peter Neary, Roel Hompes, Pól Mac Aonghusa and Jonathan P. Epperlein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Niall Hardy

33 papers receiving 687 citations

Peers

Niall Hardy

SURGE

PFM

ONCOL

PRM

Javier Pizones Spain

Se‐Jun Park South Korea

C. Mazel France

Deirdre Duke Ireland

G.L. Cribb United Kingdom

Eugene J. Park South Korea

A. Gevargez Germany

Ghada Ballane Lebanon

Fengyu Zheng United States

Mitsutomi Ishiyama Japan

Javier Pizones Spain

Niall Hardy

924 ×1.5

SURGE

615 ×1.4

PFM

28 ×0.3

ONCOL

66 ×0.8

18 ×0.3

PRM

Citations per year, relative to Niall Hardy Niall Hardy (= 1×) peers Javier Pizones

Countries citing papers authored by Niall Hardy

Since Specialization

Citations

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

Fields of papers citing papers by Niall Hardy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niall Hardy

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

All Works

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20 of 20 papers shown

Hardy, Niall, Jeffrey Dalli, Jonathan P. Epperlein, et al.. (2025). Explainable endoscopic artificial intelligence method for real-time in situ significant rectal lesion characterization: a prospective cohort study. International Journal of Surgery. 111(2). 2313–2316. 2 indexed citations

O'Connell, R.M., et al.. (2025). The effect of timing of emergency cholecystectomy for acute cholecystitis on peri-operative outcomes: A national registry-based study. The Surgeon. 23(5). 301–305.

Einbu, Aslak, et al.. (2025). Web application for automated counting and size analysis of industrial microalgae monocultures using image processing and Convolutional Neural Network based deep learning. Algal Research. 90. 104173–104173. 1 indexed citations

Dalli, Jeffrey, et al.. (2024). Clinical and computational development of a patient-calibrated ICGFA bowel transection recommender. Surgical Endoscopy. 38(6). 3212–3222. 1 indexed citations

O'Connell, R.M., Niall Hardy, Fiona Hand, et al.. (2024). Management and patient outcomes following admission with acute cholecystitis in Ireland: A national registry-based study. The Surgeon. 22(6). 364–368. 2 indexed citations

Boland, Patrick A., et al.. (2024). Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer). European Journal of Surgical Oncology. 50(12). 108273–108273. 1 indexed citations

Hardy, Niall, Jeffrey Dalli, Jonathan P. Epperlein, et al.. (2024). Surgeon assessment of significant rectal polyps using white light endoscopy alone and in comparison to fluorescence-augmented AI lesion classification. Langenbeck s Archives of Surgery. 409(1). 170–170. 2 indexed citations

Dalli, Jeffrey, Jonathan P. Epperlein, Niall Hardy, et al.. (2024). A feasibility study assessing quantitative indocyanine green angiographic predictors of reconstructive complications following nipple-sparing mastectomy. JPRAS Open. 40. 32–47. 3 indexed citations

Boland, Patrick A., et al.. (2024). Intraoperative near infrared functional imaging of rectal cancer using artificial intelligence methods - now and near future state of the art. European Journal of Nuclear Medicine and Molecular Imaging. 51(10). 3135–3148. 3 indexed citations

10.

Hardy, Niall, Jeffrey Dalli, Jonathan P. Epperlein, et al.. (2023). Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it. Surgical Endoscopy. 37(8). 6361–6370. 13 indexed citations

11.

Hardy, Niall, Jeffrey Dalli, Felix Aigner, et al.. (2023). CLASSICA: Validating artificial intelligence in classifying cancer in real time during surgery. Colorectal Disease. 25(12). 2392–2402. 9 indexed citations

12.

Dalli, Jeffrey, et al.. (2023). Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis. Journal of Biomedical Optics. 28(3). 35002–35002. 9 indexed citations

13.

Hardy, Niall, Patrick Jordan, Maria Whelan, et al.. (2023). Efferent limb stimulation prior to loop ileostomy closure: a systematic review and meta-analysis. Techniques in Coloproctology. 28(1). 15–15.

14.

Hardy, Niall, Jonathan P. Epperlein, Jeffrey Dalli, et al.. (2023). Real-time administration of indocyanine green in combination with computer vision and artificial intelligence for the identification and delineation of colorectal liver metastases. Surgery Open Science. 12. 48–54. 9 indexed citations

15.

Dalli, Jeffrey, Niall Hardy, Manish Chand, et al.. (2022). Deconstructing mastery in colorectal fluorescence angiography interpretation. Surgical Endoscopy. 36(12). 8764–8773. 8 indexed citations

16.

Hardy, Niall, Pól Mac Aonghusa, Peter Neary, & Ronan A. Cahill. (2021). Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and Characterisation in Endoscopy and Laparoscopy. Surgical Innovation. 28(6). 768–775. 17 indexed citations

17.

Hardy, Niall & Ronan A. Cahill. (2021). Digital surgery for gastroenterological diseases. World Journal of Gastroenterology. 27(42). 7240–7246. 6 indexed citations

18.

Hardy, Niall, et al.. (2021). Inter-user variation in the interpretation of near infrared perfusion imaging using indocyanine green in colorectal surgery. Surgical Endoscopy. 35(12). 7074–7081. 41 indexed citations

19.

Hardy, Niall, et al.. (2021). Sigmoid volvulus: definitive surgery is safe and should be considered in all instances. Irish Journal of Medical Science (1971 -). 191(3). 1291–1295. 7 indexed citations

20.

Hardy, Niall, et al.. (2020). In vivo assessment of cervical movement in surgeons—results from open and laparoscopic procedures. Irish Journal of Medical Science (1971 -). 190(1). 269–273. 3 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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