Annie T. Packard

55 total papers · 515 total citations
30 papers, 283 citations indexed

About

Annie T. Packard is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Annie T. Packard has authored 30 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Oncology. Recurrent topics in Annie T. Packard's work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Prostate Cancer Treatment and Research (5 papers). Annie T. Packard is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Prostate Cancer Treatment and Research (5 papers). Annie T. Packard collaborates with scholars based in United States, Israel and Canada. Annie T. Packard's co-authors include A. Tuba Kendi, Þorvarður R. Hálfdánarson, Geoffrey B. Johnson, Derek R. Johnson, Brian J. Burkett, Raymond L. Warters, Gwen Kramer, David K. Gaffney, Philip J. Moos and David J. Bartlett and has published in prestigious journals such as Radiology, American Journal of Roentgenology and The Annals of Thoracic Surgery.

In The Last Decade

Annie T. Packard

29 papers receiving 281 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Annie T. Packard 116 95 79 45 43 30 283
Annabel Spek 88 0.8× 77 0.8× 103 1.3× 56 1.2× 36 0.8× 28 297
Nylla Shanthly 89 0.8× 78 0.8× 57 0.7× 75 1.7× 24 0.6× 33 277
Laura Rozenblum 117 1.0× 50 0.5× 38 0.5× 14 0.3× 29 0.7× 33 252
Fabian M. Laage Gaupp 73 0.6× 93 1.0× 51 0.6× 22 0.5× 60 1.4× 32 317
Erik Velez 82 0.7× 79 0.8× 86 1.1× 30 0.7× 36 0.8× 19 270
Ahmed Nadeem Abbası 58 0.5× 62 0.7× 60 0.8× 22 0.5× 31 0.7× 47 245
Ann Livingstone 29 0.3× 90 0.9× 70 0.9× 53 1.2× 39 0.9× 27 325
Nirmal Vivek Raut 44 0.4× 121 1.3× 162 2.1× 46 1.0× 31 0.7× 27 308
Matteo Muto 90 0.8× 61 0.6× 205 2.6× 18 0.4× 37 0.9× 30 325
Peter Gorayski 71 0.6× 60 0.6× 89 1.1× 54 1.2× 27 0.6× 36 269

Countries citing papers authored by Annie T. Packard

Since Specialization
Citations

This map shows the geographic impact of Annie T. Packard'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 Annie T. Packard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie T. Packard more than expected).

Fields of papers citing papers by Annie T. Packard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annie T. Packard. 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 Annie T. Packard. The network helps show where Annie T. Packard may publish in the future.

Co-authorship network of co-authors of Annie T. Packard

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

All Works

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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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