D.J. Wilber

479 total citations
9 papers, 305 citations indexed

About

D.J. Wilber is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Surgery. According to data from OpenAlex, D.J. Wilber has authored 9 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 2 papers in Cognitive Neuroscience and 1 paper in Surgery. Recurrent topics in D.J. Wilber's work include Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (5 papers) and Atrial Fibrillation Management and Outcomes (5 papers). D.J. Wilber is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (5 papers) and Atrial Fibrillation Management and Outcomes (5 papers). D.J. Wilber collaborates with scholars based in United States. D.J. Wilber's co-authors include H. Kopelman, John D. Hummel, Andrew E. Epstein, D. L. Packer, J. Marcus Wharton, Hugh Calkins, William G. Stevenson, Mark A. Carlson, Richard M. Luceri and Amelia M. Arria and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and IEEE Transactions on Biomedical Engineering.

In The Last Decade

D.J. Wilber

9 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D.J. Wilber United States	6	299	12	10	5	4	9	305
Emilio González Cocina Spain	4	263 0.9×	11 0.9×	10 1.0×	5 1.0×	7 1.8×	4	281
Ricky Yu United States	6	351 1.2×	13 1.1×	17 1.7×	5 1.0×	2 0.5×	9	355
Senthil Kirubakaran United Kingdom	8	163 0.5×	19 1.6×	10 1.0×	11 2.2×	3 0.8×	16	169
Karl J. Crossen United States	6	255 0.9×	39 3.3×	7 0.7×	11 2.2×	3 0.8×	8	260
Andrea Natale United States	9	241 0.8×	29 2.4×	10 1.0×	5 1.0×	8 2.0×	26	257
Camillo Falcone Italy	5	168 0.6×	20 1.7×	12 1.2×	2 0.4×	3 0.8×	7	186
Constance Calisi United States	4	462 1.5×	26 2.2×	15 1.5×	9 1.8×	11 2.8×	7	470
Zoltán Salló Hungary	10	185 0.6×	7 0.6×	16 1.6×	4 0.8×	4 1.0×	41	194
Sonia Busch Germany	8	181 0.6×	14 1.2×	10 1.0×	4 0.8×	2 0.5×	37	194
Masaru Arai Japan	11	263 0.9×	19 1.6×	15 1.5×	11 2.2×	3 0.8×	36	269

Countries citing papers authored by D.J. Wilber

Since Specialization

Citations

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

Fields of papers citing papers by D.J. Wilber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.J. Wilber

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

All Works

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9 of 9 papers shown

Throne, R.D., D.J. Wilber, Brian Olshansky, Bradford Blakeman, & Robert Arzbaecher. (2002). Characterizing ventricular fibrillation signals using direct and seasonal-type autoregressive modeling. 80. 197–200. 4 indexed citations

Calkins, Hugh, Andrew E. Epstein, D. L. Packer, et al.. (2000). Catheter ablation of ventricular tachycardia in patients with structural heart disease using cooled radiofrequency energy. Journal of the American College of Cardiology. 35(7). 1905–1914. 257 indexed citations

Epstein, Andrew E., D.J. Wilber, Hugh Calkins, et al.. (1998). Randomized controlled trial of ventricular tachycardia treatment by cooled tip catheter ablation vs drug therapy. Journal of the American College of Cardiology. 31. 118–118. 10 indexed citations

Verdino, Ralph J., et al.. (1998). Retrograde fast pathway ablation for atrioventricular nodal reentry associated with markedly prolonged PR intervals. Journal of the American College of Cardiology. 31. 254–255. 4 indexed citations

Kall, John G., et al.. (1995). Prognostic significance of sustained ventricular tachyarrhythmia occurring during dobutamine infusion.. PubMed. 13(6). 1045–50. 5 indexed citations

Engelstein, Erica D., et al.. (1994). Limitations of adenosine in assessing the efficacy of radiofrequency catheter ablation of accessory pathways. The American Journal of Cardiology. 73(11). 774–779. 10 indexed citations

Throne, R.D., D.J. Wilber, Brian Olshansky, Bradford Blakeman, & Robert Arzbaecher. (1993). Autoregressive modeling of epicardial electrograms during ventricular fibrillation. IEEE Transactions on Biomedical Engineering. 40(4). 379–386. 5 indexed citations

Rosenbaum, David, D.J. Wilber, Joseph M. Smith, et al.. (1992). Local activation variability during monomorphic ventricular tachycardia in the dog. Cardiovascular Research. 26(3). 237–243. 8 indexed citations

Konstadt, Steven N., et al.. (1991). The efffects of global northermic hyperfusion on the processed electroencephalogram in patients. Journal of Cardiothoracic and Vascular Anesthesia. 5(3). 214–217. 2 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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