Mark A. Fleischer

1.1k citations
15 papers · 601 · h-index 9

Impact in

Papers in

Mark A. Fleischer

15 papers receiving 577 citations

Peers

Mark A. Fleischer
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 353
  • Industrial and Manufacturing Engineering 40
  • Artificial Intelligence 111
  • Computer Graphics and Computer-Aided Design 7
  • Management Science and Operations Research 23
Replace Andreia P. Guerreiro with:
Andreia P. Guerreiro Portugal
Ryo Imada Japan
Adriana Lara Mexico
Lie Meng Pang China
Dhish Kumar Saxena India
Jin Wu China
Danilo Macciò Italy
Arturo Hernández Aguirre Mexico
Michael Kolonko Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Fleischer

Since Specialization
Citations

This map shows the geographic impact of Mark A. Fleischer'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. Fleischer 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. Fleischer more than expected).

Fields of papers citing papers by Mark A. Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Mark A. Fleischer, 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. Fleischer Line = papers co-authored together Mark A. Fleischer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2003264
2 2004121
3 199577
4
The Measure of Pareto Optima.
200353
5 199919
6 199614
7 200513
8
Assessing the performance of the simulated annealing algorithm using information theory
199412
9 19969
10 19995
11 20015
12 19973
13 20003
14 20052
15 20071

About Mark A. Fleischer

Mark A. Fleischer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Management of Technology and Innovation and Statistical and Nonlinear Physics, having authored 15 papers that have together received 601 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Scheduling and Optimization Algorithms (2 papers), Manufacturing Process and Optimization (2 papers), Complex Systems and Dynamics (1 paper), Assembly Line Balancing Optimization (1 paper), Game Theory and Voting Systems (1 paper) and Product Development and Customization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (353 citations), Industrial and Manufacturing Engineering (40 citations), Artificial Intelligence (111 citations), Computer Graphics and Computer-Aided Design (7 citations) and Management Science and Operations Research (23 citations). Mark A. Fleischer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David Corne, Joshua D. Knowles, Sheldon H. Jacobson, Alan W. Johnson, Jeffrey W. Herrmann, Ashok Kumar and Michael O. Ball. Their work appears in journals such as Journal of Heuristics, INFORMS journal on computing, Lecture notes in computer science, Research Explorer (The University of Manchester) and Springer eBooks.

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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