Anthony Costa

7.1k total citations · 2 hit papers
63 papers, 3.6k citations indexed

About

Anthony Costa is a scholar working on Biomedical Engineering, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Anthony Costa has authored 63 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Artificial Intelligence and 13 papers in Spectroscopy. Recurrent topics in Anthony Costa's work include Mass Spectrometry Techniques and Applications (13 papers), Machine Learning in Healthcare (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Anthony Costa is often cited by papers focused on Mass Spectrometry Techniques and Applications (13 papers), Machine Learning in Healthcare (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Anthony Costa collaborates with scholars based in United States, United Kingdom and Canada. Anthony Costa's co-authors include R. Graham Cooks, Eric K. Oermann, John R. Zech, J. Titano, Marcus A. Badgeley, Manway Liu, Allison L. Dill, Demian R. Ifa, Lívia S. Eberlin and Joshua B. Bederson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Anthony Costa

59 papers receiving 3.5k citations

Hit Papers

align trajectories

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.

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

2018 826 citations John R. Zech, Marcus A. Badgeley et al. PLoS Medicine profile →
A large language model for electronic health records

2022 434 citations Xi Yang, Aokun Chen et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anthony Costa United States	25	1.0k	917	856	720	684	63	3.6k
Martin C. Stumpe United States	21	2.1k 2.1×	135 0.1×	3.5k 4.1×	920 1.3×	701 1.0×	50	7.6k
Bharath Ramsundar United States	11	1.4k 1.4×	160 0.2×	787 0.9×	658 0.9×	1.9k 2.8×	21	5.8k
Theodoros N. Arvanitis United Kingdom	36	275 0.3×	356 0.4×	972 1.1×	65 0.1×	821 1.2×	223	3.9k
Marc Coram United States	19	1.2k 1.2×	290 0.3×	2.9k 3.4×	648 0.9×	756 1.1×	30	6.2k
Griffin M. Weber United States	27	1.0k 1.0×	81 0.1×	316 0.4×	130 0.2×	3.1k 4.6×	77	6.5k
Kawsar Ahmed Bangladesh	47	622 0.6×	474 0.5×	325 0.4×	47 0.1×	943 1.4×	329	8.8k
He Wang China	32	218 0.2×	215 0.2×	2.0k 2.3×	26 0.0×	505 0.7×	299	4.6k
Thomas de Lange Norway	29	566 0.6×	95 0.1×	616 0.7×	37 0.1×	95 0.1×	139	3.5k
Seong K. Mun United States	24	826 0.8×	54 0.1×	1.2k 1.4×	124 0.2×	119 0.2×	239	2.9k
Anna Goldenberg Canada	32	1.1k 1.1×	33 0.0×	431 0.5×	520 0.7×	2.4k 3.5×	128	5.9k

Countries citing papers authored by Anthony Costa

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Costa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Costa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miftahutdinov, Zulfat, Elena Tutubalina, Maksim Kuznetsov, et al.. (2024). nach0: multimodal natural and chemical languages foundation model. Chemical Science. 15(22). 8380–8389. 22 indexed citations

Kalagara, Roshini, Shelley H. Liu, Colton Smith, et al.. (2024). Identifying Predictors of Initial Surgical Failure during Minimally Invasive Endoscopic Intracerebral Hemorrhage Evacuation. Biomedicines. 12(3). 508–508. 1 indexed citations

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2024). Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. Journal of the American Medical Informatics Association. 31(9). 1892–1903. 10 indexed citations

Cheng, Peng, Xi Yang, Aokun Chen, et al.. (2023). A study of generative large language model for medical research and healthcare. npj Digital Medicine. 6(1). 210–210. 186 indexed citations

Yang, Xi, Aokun Chen, Kaleb E Smith, et al.. (2022). A large language model for electronic health records. npj Digital Medicine. 5(1). 194–194. 434 indexed citations breakdown →

Rathnasinghe, Raveen, R. F. Karlicek, Michael Schotsaert, et al.. (2021). Scalable, effective, and rapid decontamination of SARS-CoV-2 contaminated N95 respirators using germicidal ultraviolet C (UVC) irradiation device. Scientific Reports. 11(1). 19970–19970. 17 indexed citations

Martini, Michael L., Aly Valliani, Anthony Costa, et al.. (2021). Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings. Scientific Reports. 11(1). 7482–7482. 11 indexed citations

Mahmoudi, Keon, Shingo Kihira, Jonathan Goldstein, et al.. (2020). Body Mass Index Correlates with Skin to Spinal Canal Distance: A Large Retrospective Single‐Center Study. Journal of Neuroimaging. 30(6). 896–900. 4 indexed citations

Kwon, Young Joon, Danielle Toussie, Mark Finkelstein, et al.. (2020). Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department. Radiology Artificial Intelligence. 3(2). e200098–e200098. 41 indexed citations

10.

Grinberg, Daniel, et al.. (2019). Mitral valve repair based on physical characterization of coaptation forces. Journal of Thoracic and Cardiovascular Surgery. 159(3). e181–e183. 3 indexed citations

11.

Kaji, Deepak, John R. Zech, Jun Kim, et al.. (2019). An attention based deep learning model of clinical events in the intensive care unit. PLoS ONE. 14(2). e0211057–e0211057. 133 indexed citations

12.

Zech, John R., Jessica Zosa Forde, J. Titano, et al.. (2019). Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models. Annals of Translational Medicine. 7(11). 233–233. 11 indexed citations

13.

Costa, Anthony, et al.. (2018). Simulation-Based Consultations for Patients with Cranial Tumors and Cerebrovascular Pathology. Journal of Neurological Surgery Part B Skull Base. 79(S 01). S1–S188. 1 indexed citations

14.

Zech, John R., Marcus A. Badgeley, Manway Liu, et al.. (2018). Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS Medicine. 15(11). e1002683–e1002683. 826 indexed citations breakdown →

15.

Iloreta, Alfred Marc, et al.. (2017). The Novel Use of 3D Reconstruction and Immersive Neuronavigation for Resection of Skull Base Lesions in Endoscopic Endonasal Skull Base Surgery. Journal of Neurological Surgery Part B Skull Base. 78(S 01). S1–S156.

16.

Sarkiss, Christopher A., James Lee, Stanisław Sobótka, et al.. (2015). Neurosurgical Skills Assessment: Measuring Technical Proficiency in Neurosurgery Residents Through Intraoperative Video Evaluations. World Neurosurgery. 89. 1–8. 23 indexed citations

17.

Dill, Allison L., Lívia S. Eberlin, Anthony Costa, Demian R. Ifa, & R. Graham Cooks. (2011). Data quality in tissue analysis using desorption electrospray ionization. Analytical and Bioanalytical Chemistry. 401(6). 1949–1961. 51 indexed citations

18.

Dill, Allison L., Lívia S. Eberlin, Cheng Zheng, et al.. (2010). Multivariate statistical differentiation of renal cell carcinomas based on lipidomic analysis by ambient ionization imaging mass spectrometry. Analytical and Bioanalytical Chemistry. 398(7-8). 2969–2978. 131 indexed citations

19.

Maas, Jeffrey D., Scott A. Smith, Anthony Costa, et al.. (2009). Circular arrays of polymer-based miniature rectilinear ion traps. The Analyst. 134(7). 1338–1338. 25 indexed citations

20.

Costa, Anthony & R. Graham Cooks. (2007). Simulation of atmospheric transport and droplet–thin film collisions in desorption electrospray ionization. Chemical Communications. 3915–3915. 125 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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