Kátia D. Pacheco

1.7k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Kátia D. Pacheco is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Kátia D. Pacheco has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ophthalmology, 14 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Kátia D. Pacheco's work include Retinal Diseases and Treatments (11 papers), Retinal Imaging and Analysis (10 papers) and Retinal and Optic Conditions (5 papers). Kátia D. Pacheco is often cited by papers focused on Retinal Diseases and Treatments (11 papers), Retinal Imaging and Analysis (10 papers) and Retinal and Optic Conditions (5 papers). Kátia D. Pacheco collaborates with scholars based in United States, Brazil and Argentina. Kátia D. Pacheco's co-authors include Neil M. Bressler, Neil Joshi, Philippe Burlina, David Freund, Michael Pekala, Jun Kong, William Paul, T. Y. Alvin Liu, Mongkol Tadarati and Adrienne W. Scott and has published in prestigious journals such as American Journal of Ophthalmology, Investigative Ophthalmology & Visual Science and Computers in Biology and Medicine.

In The Last Decade

Kátia D. Pacheco

20 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

2017 426 citations Philippe Burlina, Neil Joshi et al. JAMA Ophthalmology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kátia D. Pacheco United States	10	860	703	199	127	96	20	1.1k
Neil Joshi United States	13	886 1.0×	668 1.0×	230 1.2×	197 1.6×	111 1.2×	24	1.2k
Naama Hammel United States	16	874 1.0×	814 1.2×	112 0.6×	162 1.3×	122 1.3×	41	1.2k
Wei Meng China	11	1.0k 1.2×	742 1.1×	160 0.8×	84 0.7×	40 0.4×	35	1.4k
T. Y. Alvin Liu United States	13	369 0.4×	361 0.5×	54 0.3×	52 0.4×	47 0.5×	57	598
Susan Ostmo United States	22	1.5k 1.7×	735 1.0×	73 0.4×	92 0.7×	59 0.6×	86	1.7k
Qianzhong Cao China	13	325 0.4×	324 0.5×	64 0.3×	80 0.6×	64 0.7×	37	648
Peter A. Karth United States	12	469 0.5×	473 0.7×	72 0.4×	68 0.5×	42 0.4×	23	716
Fares Antaki Canada	13	501 0.6×	329 0.5×	32 0.2×	125 1.0×	386 4.0×	59	862
Jesse M. Smith United States	12	255 0.3×	257 0.4×	38 0.2×	81 0.6×	47 0.5×	31	628
Lanqin Zhao China	16	461 0.5×	400 0.6×	43 0.2×	43 0.3×	61 0.6×	34	632

Countries citing papers authored by Kátia D. Pacheco

Since Specialization

Citations

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

Fields of papers citing papers by Kátia D. Pacheco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kátia D. Pacheco

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

All Works

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20 of 20 papers shown

Garcia, José Maurício Botto de Barros, et al.. (2023). Pseudophakic macular edema in nondiabetic and diabetic patients without diabetic retinopathy treated with intravitreal dexamethasone implant. International Journal of Retina and Vitreous. 9(1). 56–56. 5 indexed citations

Schönbach, Etienne M., Chris Y. Wu, J. Fernando Arévalo, et al.. (2023). DIRECT MACULAR HOLE MANIPULATION RESULTS IN HIGH SUCCESS RATE IN SECONDARY MACULAR HOLE REPAIR. Retina. 43(4). 555–559. 1 indexed citations

Burlina, Philippe, Neil Joshi, William Paul, Kátia D. Pacheco, & Neil M. Bressler. (2021). Addressing Artificial Intelligence Bias in Retinal Diagnostics. Translational Vision Science & Technology. 10(2). 13–13. 76 indexed citations

Burlina, Philippe, et al.. (2020). Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases. JAMA Ophthalmology. 138(10). 1070–1070. 46 indexed citations

Maia, André, Rubens Belfort, Mario Saravia, et al.. (2020). INTRAVITREAL DEXAMETHASONE IMPLANT MIGRATION INTO THE ANTERIOR CHAMBER: A Multicenter Study From the Pan-American Collaborative Retina Study Group.. PubMed. 40(5). 825–832. 4 indexed citations

Burlina, Philippe, Neil Joshi, Kátia D. Pacheco, T. Y. Alvin Liu, & Neil M. Bressler. (2019). Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration. JAMA Ophthalmology. 137(3). 258–258. 110 indexed citations

Magalhães, Octaviano, André Maia, Rubens Belfort, et al.. (2019). INTRAVITREAL DEXAMETHASONE IMPLANT MIGRATION INTO THE ANTERIOR CHAMBER. Retina. 40(5). 825–832. 20 indexed citations

Linz, Marguerite O., Neil M. Bressler, Voraporn Chaikitmongkol, et al.. (2018). Vision Preference Value Scale and Patient Preferences in Choosing Therapy for Symptomatic Vitreomacular Interface Abnormality. JAMA Ophthalmology. 136(6). 658–658. 1 indexed citations

Joshi, Neil, et al.. (2018). Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration. JAMA Ophthalmology. 136(11). 1305–1305. 41 indexed citations

10.

Burlina, Philippe, Neil Joshi, Kátia D. Pacheco, et al.. (2018). Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration. JAMA Ophthalmology. 136(12). 1359–1359. 116 indexed citations

11.

Han, Ian C., Mongkol Tadarati, Kátia D. Pacheco, & Adrienne W. Scott. (2017). Evaluation of Macular Vascular Abnormalities Identified by Optical Coherence Tomography Angiography in Sickle Cell Disease. American Journal of Ophthalmology. 177. 90–99. 50 indexed citations

12.

Burlina, Philippe, Neil Joshi, Michael Pekala, et al.. (2017). Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks. JAMA Ophthalmology. 135(11). 1170–1170. 426 indexed citations breakdown →

13.

Burlina, Philippe, Kátia D. Pacheco, Neil Joshi, David Freund, & Neil M. Bressler. (2017). Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis. Computers in Biology and Medicine. 82. 80–86. 160 indexed citations

14.

Joshi, Neil, Michael Pekala, Kátia D. Pacheco, et al.. (2017). A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. 12 indexed citations

15.

Pacheco, Kátia D., Yulia Wolfson, Philippe Burlina, et al.. (2016). Evaluation of automated drusen detection system for fundus photographs of patients with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 57(12). 1611–1611. 4 indexed citations

16.

Pacheco, Kátia D., et al.. (2016). Spontaneous closure of macular hole following blunt trauma. Oman Journal of Ophthalmology. 9(2). 107–107. 2 indexed citations

17.

Cerón, Olga, et al.. (2014). Optic neuritis complicating herpes zoster ophthalmicus in an immunocompetent patient. Revista Brasileira de Oftalmologia. 73(6). 6 indexed citations

18.

Ribeiro, Manoel Carlos Sampaio de Almeida, et al.. (2013). Unilateral Uveitis with Vitreous Haze Following Zoledronic Acid Therapy for Osteoporosis. Seminars in Ophthalmology. 30(3). 232–234. 5 indexed citations

19.

Pacheco, Kátia D., et al.. (2008). Premature thelarche: clinical and laboratorial assessment by immunochemiluminescent assay. Arquivos Brasileiros de Endocrinologia & Metabologia. 52(1). 93–100. 9 indexed citations

20.

Correia, Dalmo, et al.. (2003). Nódulo pulmonar esquistossomótico simulando neoplasia: relato de caso. Revista da Sociedade Brasileira de Medicina Tropical. 36(6). 735–737. 8 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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