Caroline Pantofaru

5.2k citations
37 papers · 2.2k indexed · 1 hit paper · h-index 19

Caroline Pantofaru

37 papers receiving 2.1k citations

Hit Papers

Toward Objective Evaluation of Image Segmentation Algorithms20072026201320192007100200300400500

Peers

Caroline Pantofaru
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 1.4k
  • Artificial Intelligence 466
  • Social Psychology 392
  • Control and Systems Engineering 306
  • Media Technology 269
Replace Panos Trahanias with:
Panos Trahanias Greece
Luigi Cinque Italy
Ville Kyrki Finland
Guillem Alenyà Spain
Norbert Krüger Denmark
Liyuan Li Singapore
Y. Shirai Japan
Cornelia Fermüller United States
F. Sandoval Spain
Marco Cristani Italy
Caroline Pantofaru relative to Panos Trahanias Greece Panos Trahanias's profile →
Citations per field
00.5×
Panos Trahanias · 1×
Citations per year

Countries citing papers authored by Caroline Pantofaru

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Pantofaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Pantofaru

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 122
2 8
3 24
4 19
5 32
6 30
7 92
8 114
9
Wisdom of the crowd : papers from the AAAI Spring Symposium
2
10 122
11 56
12 8
13 12
14 24
15 86
16 10
17
Studies in using image segmentation to improve object recognition
3
18
Toward Objective Evaluation of Image Segmentation Algorithmsbreakdown →
545
19 18
20 11

About Caroline Pantofaru

Caroline Pantofaru is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (208 citations) and Media Technology (269 citations). Caroline Pantofaru has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Martial Hebert, Leila Takayama, Ranjith Unnikrishnan, Silvio Savarese, Wongun Choi, R. Unnikrishnan, Yu-Wei Chao, Radu Bogdan Rusu, Jonathan Bohren and Lorenz Mösenlechner. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Autonomous Robots.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026