Pascal Fallavollita

1.7k citations
105 papers · 1.4k · h-index 19

Impact in

Papers in

Pascal Fallavollita

96 papers receiving 1.3k citations

Peers

Pascal Fallavollita
Comparison fields: 5 of 100
  • Human-Computer Interaction 203
  • Computer Vision and Pattern Recognition 589
  • Rehabilitation 126
  • General Dentistry 21
  • Surgery 405
Replace Felix Bork with:
Felix Bork Germany
Kevin Yu Germany
Dwight Meglan United States
Jennifer N. Avari Silva United States
Meng Ma China
Ulrich Eck Germany
Woei‐Chyn Chu Taiwan
Heecheon You South Korea
Alı́cia Casals Spain
Federico Barbagli United States
Pascal Fallavollita relative to Felix Bork Germany Felix Bork's profile →
Citations per field
00.5×10×20×28.8×
Felix Bork · 1×
Citations per year

Countries citing papers authored by Pascal Fallavollita

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Fallavollita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 2015127
3 201793
4 201579
5 201671
6 201357
7 201436
8 201532
9 201431
10 201826
11 201522
12 201422
13 201221
14 201620
15 201719
16 201219
17 201018
18 201218
19 201218
20 201017

About Pascal Fallavollita

Pascal Fallavollita is a scholar working on Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Radiation, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Augmented Reality Applications (26 papers), Surgical Simulation and Training (24 papers), Anatomy and Medical Technology (22 papers), Medical Image Segmentation Techniques (10 papers), Advanced Radiotherapy Techniques (9 papers), Robotics and Sensor-Based Localization (6 papers), Cardiac Arrhythmias and Treatments (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Human-Computer Interaction (203 citations), Computer Vision and Pattern Recognition (589 citations), Rehabilitation (126 citations), General Dentistry (21 citations) and Surgery (405 citations). Pascal Fallavollita has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Nassir Navab, Ekkehard Euler, Simon Weidert, Alana Elza Fontes Da Gama, Verônica Teichrieb, Meng Ma, Jens Waschke, Lejing Wang, Peter Helmut Thaller and Philipp Stefan. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Access, IEEE Transactions on Medical Imaging, Computerized Medical Imaging and Graphics and Lecture notes in computer science.

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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