Abraham Wald

37 papers receiving 709 citations

Peers

Abraham Wald
Comparison fields: 5 of 127
  • General Decision Sciences 82
  • Statistics and Probability 125
  • Management Science and Operations Research 168
  • Statistics, Probability and Uncertainty 64
  • Economics and Econometrics 236
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Countries citing papers authored by Abraham Wald

Since Specialization
Citations

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

Fields of papers citing papers by Abraham Wald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abraham Wald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abraham Wald Line = papers co-authored together Abraham Wald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1951256
2 1951105
3 1951102
4 195176
5 195157
6 195149
7 195121
8 197019
9 197617
10 195516
11
A Reprint of 'A Method of Estimating Plane Vulnerability Based on Damage of Survivors.
198016
12 196915
13 195514
14 197814
15
Tutorial: experience with a mass spectrometer system for blood gas analysis in humans.
197211
16
A new technique for monitoring epidural intracranial pressure.
197810
17 19757
18 19536
19 19726
20 19775

About Abraham Wald

Abraham Wald is a scholar working on Neurology, Cellular and Molecular Neuroscience, Nephrology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 868 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Cerebrospinal fluid and hydrocephalus (6 papers), ECG Monitoring and Analysis (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Economic theories and models (2 papers), Phonocardiography and Auscultation Techniques (2 papers), Renal function and acid-base balance (2 papers) and Statistical Mechanics and Entropy (2 papers). The work is most often cited by research in General Decision Sciences (82 citations), Statistics and Probability (125 citations), Management Science and Operations Research (168 citations), Statistics, Probability and Uncertainty (64 citations) and Economics and Econometrics (236 citations). Abraham Wald has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include D. V. Lindley, J. Wolfowitz, A. Dvoretzky, George B. Dantzig, G. M. Hochwald, Adele Josephson, William K. Hass, Arthur E. Marlin, Joseph Ransohoff and J Ransohoff. Their work appears in journals such as Neurology, Journal of the American Statistical Association, Econometrica, Pacific Journal of Mathematics and Experimental Neurology.

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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