John Galeotti

524 total citations
42 papers, 299 citations indexed

About

John Galeotti is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, John Galeotti has authored 42 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in John Galeotti's work include Medical Image Segmentation Techniques (12 papers), Soft Robotics and Applications (6 papers) and Robotics and Sensor-Based Localization (6 papers). John Galeotti is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Soft Robotics and Applications (6 papers) and Robotics and Sensor-Based Localization (6 papers). John Galeotti collaborates with scholars based in United States, India and Tunisia. John Galeotti's co-authors include George Stetten, Kira L. Lathrop, Andrew Nelson, Edward Grant, Mel Siegel, Roberta L. Klatzky, Samantha Horvath, Sonya Allin, Howie Choset and Seth H. Dailey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Letters and Methods.

In The Last Decade

John Galeotti

40 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Galeotti United States 10 93 85 82 64 47 42 299
Junaid Malik Finland 10 75 0.8× 78 0.9× 54 0.7× 111 1.7× 65 1.4× 21 380
Quan Zhou China 11 56 0.6× 70 0.8× 50 0.6× 143 2.2× 16 0.3× 57 406
Prithul Sarker United States 11 115 1.2× 20 0.2× 40 0.5× 27 0.4× 20 0.4× 35 301
Aymen Mouelhi Tunisia 11 83 0.9× 23 0.3× 150 1.8× 131 2.0× 25 0.5× 43 433
Ken’ichi Morooka Japan 11 69 0.7× 74 0.9× 40 0.5× 172 2.7× 13 0.3× 53 402
Tati L. R. Mengko Indonesia 12 103 1.1× 70 0.8× 67 0.8× 147 2.3× 15 0.3× 64 386
Adam Bujnowski Poland 11 25 0.3× 141 1.7× 12 0.1× 91 1.4× 97 2.1× 69 391
V. Thulasi Bai India 10 45 0.5× 54 0.6× 33 0.4× 49 0.8× 18 0.4× 54 299
Fernando Perdigão Portugal 9 44 0.5× 17 0.2× 130 1.6× 47 0.7× 10 0.2× 47 261
Sibghatullah I. Khan India 9 43 0.5× 54 0.6× 21 0.3× 42 0.7× 67 1.4× 24 274

Countries citing papers authored by John Galeotti

Since Specialization
Citations

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

Fields of papers citing papers by John Galeotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Galeotti

This figure shows the co-authorship network connecting the top 25 collaborators of John Galeotti. A scholar is included among the top collaborators of John Galeotti 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 John Galeotti. John Galeotti 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
1.
Singh, Manpreet, et al.. (2024). Motion-Aware Needle Segmentation in Ultrasound Images. 1–4. 1 indexed citations
2.
3.
Chen, Edward, et al.. (2022). Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts. SHILAP Revista de lepidopterología. 2022. 9837076–9837076. 2 indexed citations
4.
5.
Chen, Edward, Howie Choset, & John Galeotti. (2021). Uncertainty-Based Adaptive Data Augmentation For Ultrasound Imaging Anatomical Variations. 438–442. 3 indexed citations
6.
Schoenling, Andrew, et al.. (2021). Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection. arXiv (Cornell University). 1406–1410. 11 indexed citations
7.
Galeotti, John, et al.. (2020). Learning to Segment Vessels from Poorly Illuminated Fundus Images. abs 1707 9725. 1232–1236. 8 indexed citations
8.
Ouyang, Jiahong, et al.. (2019). Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images. Biomedical Optics Express. 10(10). 5291–5291. 25 indexed citations
9.
Lathrop, Kira L., et al.. (2019). Learning To Segment Corneal Tissue Interfaces In Oct Images. 1432–1436. 13 indexed citations
10.
Galeotti, John, et al.. (2016). Ultrasound registration: A review. Methods. 115. 128–143. 28 indexed citations
11.
Galeotti, John, et al.. (2016). Generating an image that affords slant perception from stereo, without pictorial cues. Displays. 46. 16–24. 1 indexed citations
12.
Wu, Bing, Roberta L. Klatzky, Randy Lee, et al.. (2014). Psychophysical Evaluation of Haptic Perception Under Augmentation by a Handheld Device. Human Factors The Journal of the Human Factors and Ergonomics Society. 57(3). 523–537. 9 indexed citations
13.
Horvath, Samantha, John Galeotti, Bing Wu, et al.. (2014). FingerSight: Fingertip Haptic Sensing of the Visual Environment. IEEE Journal of Translational Engineering in Health and Medicine. 2. 1–9. 20 indexed citations
14.
Wu, Bing, Roberta L. Klatzky, & John Galeotti. (2013). Effects of magnification on depth perception and visually-guided reaching. Journal of Vision. 13(9). 220–220. 1 indexed citations
15.
Vidal, J, et al.. (2012). A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering. Journal of Pathology Informatics. 2(2). 5–5. 9 indexed citations
16.
Galeotti, John, et al.. (2010). Shells and Spheres: An n‐Dimensional Framework for Medial‐Based Image Segmentation. International Journal of Biomedical Imaging. 2010(1). 980872–980872. 4 indexed citations
17.
Galeotti, John, Mel Siegel, & George Stetten. (2010). Real-time tomographic holography for augmented reality. Optics Letters. 35(14). 2352–2352. 5 indexed citations
18.
Galeotti, John, Bo Wang, Larry Kagemann, et al.. (2010). The OCT penlight: in-situ image guidance for microsurgery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7625. 762502–762502. 6 indexed citations
19.
Galeotti, John, et al.. (2008). FingerSight™. 1–1. 7 indexed citations
20.
Galeotti, John, et al.. (2002). EvBots - The Design and Construction of a Mobile Robot Colony for Conducting Evolutionary Robotic Experiments.. 86–91. 9 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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