Connie Dalzell

17 total papers · 477 total citations
14 papers, 300 citations indexed

About

Connie Dalzell is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Connie Dalzell has authored 14 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cardiology and Cardiovascular Medicine and 1 paper in Neurology. Recurrent topics in Connie Dalzell's work include Cardiac pacing and defibrillation studies (11 papers), Advanced MRI Techniques and Applications (11 papers) and Cardiac Imaging and Diagnostics (10 papers). Connie Dalzell is often cited by papers focused on Cardiac pacing and defibrillation studies (11 papers), Advanced MRI Techniques and Applications (11 papers) and Cardiac Imaging and Diagnostics (10 papers). Connie Dalzell collaborates with scholars based in United States and China. Connie Dalzell's co-authors include Yong‐Mei Cha, Samuel J. Asirvatham, Paul A. Friedman, Robert E. Watson, Joel P. Felmlee, Nancy Acker, Suraj Kapa, Seth H. Sheldon, Ramila A. Mehta and Mary Lou Jondal and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Circulation Heart Failure.

In The Last Decade

Connie Dalzell

14 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Connie Dalzell	270	208	48	16	14	14	300
Allen Ciuffo	225 0.8×	150 0.7×	49 1.0×	22 1.4×	11 0.8×	13	291
Jannike Nickander	184 0.7×	265 1.3×	55 1.1×	42 2.6×	25 1.8×	23	352
Harry Gross	216 0.8×	153 0.7×	47 1.0×	7 0.4×	9 0.6×	22	315
Dany Sayad	249 0.9×	237 1.1×	81 1.7×	29 1.8×	14 1.0×	23	362
DAVID L. HAYES	254 0.9×	91 0.4×	50 1.0×	28 1.8×	35 2.5×	16	317
Helmut Püererfellner	248 0.9×	131 0.6×	22 0.5×	10 0.6×	11 0.8×	9	281
John P. Clements	183 0.7×	289 1.4×	65 1.4×	82 5.1×	7 0.5×	13	351
Islam Mahmoud	234 0.9×	212 1.0×	76 1.6×	20 1.3×	6 0.4×	15	323
Mark Castellani	264 1.0×	104 0.5×	71 1.5×	36 2.3×	15 1.1×	18	360
P. Mabo	281 1.0×	52 0.3×	64 1.3×	8 0.5×	8 0.6×	15	291

Countries citing papers authored by Connie Dalzell

Since Specialization

Citations

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

Fields of papers citing papers by Connie Dalzell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Dalzell

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Dalzell. A scholar is included among the top collaborators of Connie Dalzell 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 Connie Dalzell. Connie Dalzell 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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