Edward Lakatos

3.6k citations
41 papers · 2.5k indexed · h-index 25
Topics
Blood Pressure and Hypertension Studies (8 papers)Statistical Methods in Clinical Trials (8 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)

In The Last Decade

Edward Lakatos

40 papers receiving 2.3k citations

Peers

Edward Lakatos
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 1.1k
  • Surgery 568
  • Pulmonary and Respiratory Medicine 424
  • Statistics and Probability 393
  • Radiology, Nuclear Medicine and Imaging 364
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Edward Lakatos

Since Specialization
Citations

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

Fields of papers citing papers by Edward Lakatos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Lakatos

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Risk of Chronic Obstructive Pulmonary Disease
2
2 43
3 4
4 1
5 60
6 57
7 170
8 62
9 11
10 40
11 30
12 63
13 165
14 32
15 63
16
IMPAIRED LEFT-VENTRICULAR DIASTOLIC FILLING IN PATIENTS WITH CORONARY-ARTERY DISEASE AND NORMAL SYSTOLIC FUNCTION - CORRECTION FOR AGE EFFECT
2
17 1
18 2
19 27
20 1

About Edward Lakatos

Edward Lakatos is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Statistical Methods in Clinical Trials (8 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Statistics and Probability (393 citations) and Radiology, Nuclear Medicine and Imaging (364 citations). Edward Lakatos has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Robert O. Bonow, B J Maron, S E Epstein, Stephen E. Epstein, K. K. Gordon Lan, Jeffrey L. Probstfield, Janet Wittes, Douglas R. Rosing, David M. Zucker and Stephen L. Bacharach. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

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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