Mark A. Abramson

1.1k citations
33 papers · 662 · h-index 14

Impact in

Papers in

Mark A. Abramson

31 papers receiving 580 citations

Peers

Mark A. Abramson
Comparison fields: 5 of 106
  • Numerical Analysis 171
  • Public Administration 54
  • Computational Theory and Mathematics 226
  • Management Science and Operations Research 85
  • Statistics, Probability and Uncertainty 47
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Robert F. Love Canada
Miles Lubin United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Abramson

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Abramson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Abramson. 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 Mark A. Abramson. The network helps show where Mark A. Abramson may publish in the future.

Co-authors

The 17 scholars most cited alongside Mark A. Abramson, 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 Mark A. Abramson Line = papers co-authored together Mark A. Abramson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 200895
3 200669
4 200343
5 200635
6 198733
7 200428
8 200823
9
The procurement revolution
200319
10 200519
11 200718
12 200916
13 200814
14 200813
15
Memos to the President : management advice from the nation's top public administrators
200112
16
New ways of doing business
200311
17
The funding of social knowledge production and application: A survey of Federal agencies
197810
18 20088
19 20118
20 19876

About Mark A. Abramson

Mark A. Abramson is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Artificial Intelligence, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (10 papers), Metaheuristic Optimization Algorithms Research (7 papers), Optimization and Variational Analysis (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers), Topology Optimization in Engineering (3 papers), Optimization and Search Problems (2 papers) and Evaluation and Performance Assessment (2 papers). The work is most often cited by research in Numerical Analysis (171 citations), Public Administration (54 citations), Computational Theory and Mathematics (226 citations), Management Science and Operations Research (85 citations) and Statistics, Probability and Uncertainty (47 citations). Mark A. Abramson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Charles Audet, J. E. Dennis, Sébastien Le Digabel, Robert D. Behn, Joseph S. Wholey, Jeffrey P. Kharoufeh, Thomas J. Asaki, Kevin O’Reilly, Matthew Sottile and Richard F. Elmore. Their work appears in journals such as Public Administration Review, SIAM Journal on Optimization, Structural and Multidisciplinary Optimization, Optimization and Engineering and Optimization methods & software.

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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