N. Pavón

1.2k citations
44 papers · 889 indexed · h-index 16

Impact in

Papers in

N. Pavón

41 papers receiving 872 citations

Peers

N. Pavón
Comparison fields: 5 of 106
  • Radiation 345
  • Radiology, Nuclear Medicine and Imaging 334
  • Computer Vision and Pattern Recognition 174
  • Nuclear and High Energy Physics 96
  • Computer Networks and Communications 102
Replace Yibo Yang with:
Yibo Yang China
Ahmed S. Salama Egypt
Xinbin Li China
Harbinder Singh India
Matthias Humt Germany
Chao Cao China
M. Gorgoń Poland
N. Pavón relative to Yibo Yang China Yibo Yang's profile →
Citations per field
00.5×20×40×60×86.3×
Yibo Yang · 1×
Citations per year

Countries citing papers authored by N. Pavón

Since Specialization
Citations

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

Fields of papers citing papers by N. Pavón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside N. Pavón, 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 N. Pavón Line = papers co-authored together N. Pavón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20243
4 202113
5 20211
6 202018
7 201745
8 20159
9 201559
10 20140
11 20149
12 20103
13 20093
14 20074
15 200622
16 20052
17
MLP neural networksto control a mobile robot using multiple goal points
20042
18 200453
19 20042
20 200218

About N. Pavón

N. Pavón is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 889 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Radiation Detection and Scintillator Technologies (19 papers), Particle Detector Development and Performance (9 papers), Smart Agriculture and AI (6 papers), Robotics and Automated Systems (4 papers), IoT and Edge/Fog Computing (4 papers), Stroke Rehabilitation and Recovery (3 papers) and Nuclear Physics and Applications (3 papers). The work is most often cited by research in Radiation (345 citations), Radiology, Nuclear Medicine and Imaging (334 citations), Computer Vision and Pattern Recognition (174 citations), Nuclear and High Energy Physics (96 citations) and Computer Networks and Communications (102 citations). N. Pavón has collaborated with scholars based in Spain, Portugal and Colombia. Frequent co-authors include J. Ferruz, Juan Antonio López, Miguel A. Vega‐Rodríguez, J. Benlloch, Á. Sebastiá, F. Sánchez, Jorge D. Martínez, Christoph Lerche, Roque Torres-Sánchez and Raul Morais. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Medical Physics, Agricultural Water Management and Sensors.

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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