Daniel Solow

31 papers receiving 292 citations

Peers

Daniel Solow
Comparison fields: 5 of 79
  • Theoretical Computer Science 8
  • Management Science and Operations Research 82
  • Industrial and Manufacturing Engineering 59
  • Strategy and Management 42
  • Computational Theory and Mathematics 44
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Countries citing papers authored by Daniel Solow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Solow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel Solow, 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 Daniel Solow Line = papers co-authored together Daniel Solow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200343
2
How to read and do proofs : an introduction to mathematical thought process
198227
3
Linear Programming: An Introduction to Finite Improvement Algorithms
198426
4 199323
5 201023
6 200221
7 199917
8 200516
9 200315
10
The role of leadership: What management science can give back to the study of complex systems
200614
11
On the Expected Performance of Systems with Complex Interactions Among Components
200013
12 201612
13 199712
14 199911
15 199511
16 19858
17 19936
18 20005
19 20074
20 19893

About Daniel Solow

Daniel Solow is a scholar working on Management Science and Operations Research, Numerical Analysis, Computational Theory and Mathematics, Strategy and Management and Sociology and Political Science, having authored 34 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (7 papers), Complex Systems and Decision Making (6 papers), Business Strategy and Innovation (5 papers), Vehicle Routing Optimization Methods (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Optimization and Packing Problems (2 papers), History and Theory of Mathematics (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Theoretical Computer Science (8 citations), Management Science and Operations Research (82 citations), Industrial and Manufacturing Engineering (59 citations), Strategy and Management (42 citations) and Computational Theory and Mathematics (44 citations). Daniel Solow has collaborated with scholars based in United States, Thailand and Greece. Frequent co-authors include Kamlesh Mathur, Apostolos Burnetas, Ming-Chi Tsai, M. F. Janowitz, Joseph Szmerekovsky, Neil S. Greenspan, Sandy Kristin Piderit, George Vairaktarakis, Rishi Agarwal and Partha Pratim Sengupta. Their work appears in journals such as Complexity, European Journal of Operational Research, Computational and Mathematical Organization Theory, Mathematical Programming and Transportation Science.

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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