The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where David S. Johnson sits on this spectrum.
This scientist: 171 publications — 35th percentile
35% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where David S. Johnson sits on this spectrum.
This scientist: 77 D-Index — 91st percentile
91% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
David S. Johnson is affiliated with AT&T in the United States. Their research spans multiple fields including accounting, economics and econometrics, sociology and political science, signal processing, and gender studies. They have contributed to a range of topics such as financial literacy, pension and retirement analysis, gender, labor and family dynamics, consumer market behavior and pricing, economics of agriculture and food markets, monetary policy and economic impact, global health care issues, and policies related to energy, environment, and transportation.
Recent papers published by David S. Johnson include:
Frequent co-authors working alongside David S. Johnson include Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, Edward Olivares, and Luke Pardue. Each of these collaborators has co-authored multiple publications with Johnson.
Key venues where Johnson's research is regularly published are:
The scientist's work addresses interdisciplinary subjects combining quantitative methods and practical applications. For instance, their studies include robust approaches to inequality measurement, sound event detection via federated learning datasets, and optimization problems in facility location. Their research interests suggest a strong engagement with economic behavior and policy implications as well as technological applications in signal processing.
Michael R. Garey;David S. Johnson
Michael Randolph Garey;David S. Johnson
M. R. Garey;D. S. Johnson;Ravi Sethi
David S. Johnson
M. R. Garey;D. S. Johnson;L. Stockmeyer
M. R. Garey;David S. Johnson;Larry J. Stockmeyer
Brent N. Clark;Brent N. Clark;Charles J. Colbourn;Charles J. Colbourn;David S. Johnson;David S. Johnson
David S. Johnson;Cecilia R. Aragon;Lyle A. McGeoch;Catherine Schevon
M. R. Garey;David S. Johnson
E. G. Coffman;M. R. Garey;D. S. Johnson
David S. Johnson
David S. Johnson;Alan J. Demers;Jeffrey D. Ullman;M. R. Garey
David S. Johnson;Cecilia R. Aragon;Lyle A. McGeoch;Catherine Schevon
M. R. Garey;D. S. Johnson
David S. Johnson;Christos H. Papadimitriou
David S. Johnson;Christos H. Papadimitriou;Mihalis Yannakakis
Edward G. Coffman;M. R. Garey;David S. Johnson
E. Dahlhaus;D. S. Johnson;C. H. Papadimitriou;P. D. Seymour
M. R. Garey;D. S. Johnson
David S. Johnson
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