J Areeda

531 total citations
9 papers, 393 citations indexed

About

J Areeda is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, J Areeda has authored 9 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Biomedical Engineering. Recurrent topics in J Areeda's work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Imaging and Diagnostics (4 papers). J Areeda is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cardiac Imaging and Diagnostics (4 papers). J Areeda collaborates with scholars based in United States. J Areeda's co-authors include Hosen Kiat, Guido Germano, Kenneth F. Van Train, Daniel S. Berman, John D. Friedman, Daniel S. Berman, Terrance Chua, Rory Hachamovitch, M Mazzanti and Paul Kavanagh and has published in prestigious journals such as Clinical Nuclear Medicine and PubMed.

In The Last Decade

J Areeda

9 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Areeda United States 4 369 137 123 44 14 9 393
E. E. DePasquale United States 5 411 1.1× 152 1.1× 171 1.4× 93 2.1× 22 1.6× 7 458
G Silagan United States 5 416 1.1× 189 1.4× 112 0.9× 32 0.7× 6 0.4× 7 435
P. H. D'Amato United States 5 298 0.8× 112 0.8× 118 1.0× 61 1.4× 17 1.2× 7 342
Melissa Vass United States 5 284 0.8× 175 1.3× 105 0.9× 34 0.8× 13 0.9× 6 352
J Gerlach United States 5 327 0.9× 126 0.9× 117 1.0× 57 1.3× 8 0.6× 6 358
Robert C. Fetterman United States 7 302 0.8× 65 0.5× 233 1.9× 93 2.1× 17 1.2× 7 365
J.N. Kritzman United States 6 492 1.3× 214 1.6× 97 0.8× 36 0.8× 12 0.9× 19 516
Darin Okerlund United States 8 310 0.8× 225 1.6× 77 0.6× 23 0.5× 15 1.1× 22 370
Kelly L. Moutray United States 3 480 1.3× 169 1.2× 106 0.9× 54 1.2× 7 0.5× 3 492
Valerie Wasserleben United States 7 415 1.1× 150 1.1× 215 1.7× 96 2.2× 14 1.0× 8 446

Countries citing papers authored by J Areeda

Since Specialization
Citations

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

Fields of papers citing papers by J Areeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Areeda

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

All Works

9 of 9 papers shown
1.
Kang, X, Daniel S. Berman, Kenneth F. Van Train, et al.. (1997). Clinical validation of automatic quantitative defect size in rest technetium-99m-sestamibi myocardial perfusion SPECT.. PubMed. 38(9). 1441–6. 43 indexed citations
2.
Germano, Guido, Paul Kavanagh, M Mazzanti, et al.. (1995). Automatic reorientation of three-dimensional, transaxial myocardial perfusion SPECT images.. PubMed. 36(6). 1107–14. 129 indexed citations
3.
Germano, Guido, Terrance Chua, Hosen Kiat, J Areeda, & Daniel S. Berman. (1994). A quantitative phantom analysis of artifacts due to hepatic activity in technetium-99m myocardial perfusion SPECT studies.. PubMed. 35(2). 356–9. 84 indexed citations
4.
Train, Kenneth F. Van, Ernest Garcia, J Maddahi, et al.. (1994). Multicenter trial validation for quantitative analysis of same-day rest-stress technetium-99m-sestamibi myocardial tomograms.. PubMed. 35(4). 609–18. 129 indexed citations
5.
Areeda, J, Bruno García del Blanco, C. David Cooke, et al.. (1993). AUTOMATIC, OPERATOR VERIFIED QUANTITATIVE PROGRAM FOR. REST/STRESS TECHNETIUM-99m SESTAMIBI MYOCARDIAL PERFUSION SPECT: A MULTICENTER TRIAL VALIDATION. Clinical Nuclear Medicine. 18(10). 929–929. 1 indexed citations
6.
Maddahi, Jamshid, Hosen Kiat, K Resser, et al.. (1987). PREDICTION OF CORONARY EVENTS BY THALLIUM-201 QUANTITATION OF JEOPARDIZED MYOCARDIUM AND CLINICAL AND EXERCISE TEST VARIABLES.. Clinical Nuclear Medicine. 12(Supplement). P21–P21. 1 indexed citations
7.
Maddahi, Jamshid, Hosen Kiat, K Resser, et al.. (1987). ASSESSMENT OF PROGNOSIS IN PATIENTS WITH PRIOR MYOCARDIAL INFARCTION: A NEW APPROACH TO QUANTITATIVE INTERPRETATION OF EXERCISE THALLIUM-201 SCINTIGRAPHY. Clinical Nuclear Medicine. 12(Supplement). P21–P21. 1 indexed citations
8.
Areeda, J, et al.. (1985). Effects and correction of misaligned x-y gains and offsets in dual detector SPECT imaging. 26(5). 50. 2 indexed citations
9.
Garcia, E V, David Chapman, J Areeda, et al.. (1984). Accuracy of rotational tomography for predicting absolute Tl-201 concentrations. 25(5). 70. 3 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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