D. Babot

740 citations
37 papers · 552 · h-index 15

Impact in

Papers in

D. Babot

36 papers receiving 527 citations

Peers

D. Babot
Comparison fields: 5 of 78
  • Radiation 157
  • Radiology, Nuclear Medicine and Imaging 248
  • Biomedical Engineering 257
  • Industrial and Manufacturing Engineering 30
  • Pulmonary and Respiratory Medicine 95
Replace Valérie Kaftandjian with:
Valérie Kaftandjian France
Randolf Hanke Germany
Joachim Tabary France
Lin Fu United States
Masanao Kobayashi Japan
Uwe Zscherpel Germany
Christophe Odet France
Theobald Fuchs Germany
Tyler Meyer Canada
D. L. Hykes United States
D. Babot relative to Valérie Kaftandjian France Valérie Kaftandjian's profile →
Citations per field
00.5×1.5×1.9×
Valérie Kaftandjian · 1×
Citations per year

Countries citing papers authored by D. Babot

Since Specialization
Citations

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

Fields of papers citing papers by D. Babot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Babot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Babot Line = papers co-authored together D. Babot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200073
2 200243
3 199840
4 200535
5 200433
6 200632
7 200032
8 200427
9 197323
10 200623
11 200821
12 199117
13 199616
14 199616
15 200514
16 199513
17 200312
18 200611
19 199510
20 20099

About D. Babot

D. Babot is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering, having authored 37 papers that have together received 552 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (18 papers), Advanced X-ray and CT Imaging (13 papers), Advanced X-ray Imaging Techniques (6 papers), Digital Radiography and Breast Imaging (5 papers), Nuclear Physics and Applications (5 papers), Non-Destructive Testing Techniques (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Radiation Detection and Scintillator Technologies (3 papers). The work is most often cited by research in Radiation (157 citations), Radiology, Nuclear Medicine and Imaging (248 citations), Biomedical Engineering (257 citations), Industrial and Manufacturing Engineering (30 citations) and Pulmonary and Respiratory Medicine (95 citations). D. Babot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Philippe Duvauchelle, Valérie Kaftandjian, N. Freud, Jean Michel Létang, G. Peix, Yuemin Zhu, Olivier Dupuis, M. Chevreton, Jean‐Luc Autran and B. Balland. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, IEEE Transactions on Nuclear Science, NDT & E International, Measurement Science and Technology and Bone.

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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