Roman Pachulski

18 total papers · 531 total citations
15 papers, 314 citations indexed

About

Roman Pachulski is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Roman Pachulski has authored 15 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Roman Pachulski's work include Cardiac pacing and defibrillation studies (4 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). Roman Pachulski is often cited by papers focused on Cardiac pacing and defibrillation studies (4 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). Roman Pachulski collaborates with scholars based in United States and Canada. Roman Pachulski's co-authors include Kwan-Leung Chan, Kah Lok Chan, Hemant Solomon, John Rogers, James L. Cockrell, Ibrahim R. Hanna, Walter Paladino, Alan Cheng, Dan Dan and Daniel R. Lexcen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Roman Pachulski

11 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Roman Pachulski	257	166	118	75	20	15	314
Allan H. Rees	125 0.5×	122 0.7×	162 1.4×	95 1.3×	8 0.4×	17	334
Mariano Vicchio	167 0.6×	133 0.8×	86 0.7×	111 1.5×	5 0.3×	20	280
Esther Ballesteros	106 0.4×	260 1.6×	49 0.4×	102 1.4×	20 1.0×	19	353
Robert E. Nye	149 0.6×	155 0.9×	43 0.4×	56 0.7×	9 0.5×	17	308
Nasir Shaikh	141 0.5×	183 1.1×	159 1.3×	86 1.1×	9 0.5×	20	319
Jack E. Arrants	172 0.7×	134 0.8×	139 1.2×	194 2.6×	11 0.6×	15	352
Joachim Sirch	245 1.0×	249 1.5×	104 0.9×	120 1.6×	13 0.7×	20	354
P Maruszewski	124 0.5×	76 0.5×	119 1.0×	97 1.3×	5 0.3×	14	264
Adnan Bakar	72 0.3×	84 0.5×	95 0.8×	81 1.1×	10 0.5×	21	228
Lorenzo Guerrieri Wolf	275 1.1×	176 1.1×	91 0.8×	183 2.4×	7 0.3×	22	342

Countries citing papers authored by Roman Pachulski

Since Specialization

Citations

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

Fields of papers citing papers by Roman Pachulski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Pachulski

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