Paul Hérent

694 total citations
6 papers, 316 citations indexed

About

Paul Hérent is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Geriatrics and Gerontology. According to data from OpenAlex, Paul Hérent has authored 6 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Geriatrics and Gerontology. Recurrent topics in Paul Hérent's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Ethics in Clinical Research (1 paper) and MRI in cancer diagnosis (1 paper). Paul Hérent is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Ethics in Clinical Research (1 paper) and MRI in cancer diagnosis (1 paper). Paul Hérent collaborates with scholars based in France. Paul Hérent's co-authors include Paul Jehanno, Simon Jégou, Charlie Saillard, Benoît Schmauch, Olivier Dehaene, Alain Luciani, Nathalie Lassau, Christophe Aubé, Corinne Balleyguier and Julia Arfi‐Rouche and has published in prestigious journals such as Arthritis Research & Therapy, Developmental Cognitive Neuroscience and Diagnostic and Interventional Imaging.

In The Last Decade

Paul Hérent

6 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Hérent France	5	187	108	51	39	39	6	316
Tobias Hepp Germany	12	263 1.4×	89 0.8×	15 0.3×	10 0.3×	86 2.2×	26	405
Jonathan Scalera United States	7	165 0.9×	38 0.4×	7 0.1×	22 0.6×	63 1.6×	13	304
Ruida Cheng United States	9	106 0.6×	44 0.4×	26 0.5×	28 0.7×	143 3.7×	14	309
Satyananda Kashyap United States	8	156 0.8×	87 0.8×	4 0.1×	34 0.9×	38 1.0×	18	276
Yunsong Peng China	11	201 1.1×	133 1.2×	8 0.2×	6 0.2×	50 1.3×	38	322
Huaiyu Wu China	10	101 0.5×	60 0.6×	6 0.1×	14 0.4×	41 1.1×	32	252
Pietro Antonio Cicalese United States	6	83 0.4×	36 0.3×	7 0.1×	48 1.2×	40 1.0×	8	265
Manudeep Kalra United States	11	208 1.1×	87 0.8×	3 0.1×	7 0.2×	96 2.5×	14	380
Navdeep Dahiya India	10	137 0.7×	65 0.6×	3 0.1×	14 0.4×	70 1.8×	25	377
Łukasz Michałowski Poland	7	105 0.6×	45 0.4×	72 1.4×	2 0.1×	31 0.8×	11	295

Countries citing papers authored by Paul Hérent

Since Specialization

Citations

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

Fields of papers citing papers by Paul Hérent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Hérent

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

All Works

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6 of 6 papers shown

1.

Schiratti, Jean-Baptiste, Rémy Dubois, Paul Hérent, et al.. (2021). A deep learning method for predicting knee osteoarthritis radiographic progression from MRI. Arthritis Research & Therapy. 23(1). 262–262. 57 indexed citations

2.

Blanc‐Durand, Paul, Jean-Baptiste Schiratti, Klamer Schutte, et al.. (2020). Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment. Diagnostic and Interventional Imaging. 101(12). 789–794. 40 indexed citations

3.

Hérent, Paul, Benoît Schmauch, Paul Jehanno, et al.. (2019). Detection and characterization of MRI breast lesions using deep learning. Diagnostic and Interventional Imaging. 100(4). 219–225. 82 indexed citations

4.

Charron, Sylvain, Paul Hérent, Julie Vidal, et al.. (2019). The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents. Developmental Cognitive Neuroscience. 38. 100664–100664. 21 indexed citations

5.

Schmauch, Benoît, Paul Hérent, Paul Jehanno, et al.. (2019). Diagnosis of focal liver lesions from ultrasound using deep learning. Diagnostic and Interventional Imaging. 100(4). 227–233. 115 indexed citations

6.

Hérent, Paul, et al.. (2019). Exploitation des données pour la recherche et l’intelligence artificielle : enjeux médicaux, éthiques, juridiques, techniques. Imagerie de la Femme. 29(2). 62–71. 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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