Mark Fleischer

1.1k total citations
12 papers, 242 citations indexed

About

Mark Fleischer is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mark Fleischer has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mark Fleischer's work include Metaheuristic Optimization Algorithms Research (5 papers), Manufacturing Process and Optimization (3 papers) and Evolutionary Algorithms and Applications (3 papers). Mark Fleischer is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Manufacturing Process and Optimization (3 papers) and Evolutionary Algorithms and Applications (3 papers). Mark Fleischer collaborates with scholars based in United States and United Kingdom. Mark Fleischer's co-authors include Joshua Knowles, David Corne, Sheldon H. Jacobson, Edward M.H. Lin, Jeffrey W. Herrmann, Michael O. Ball, Ashok Kumar, Kelly A. Sullivan and Alan W. Johnson and has published in prestigious journals such as INFORMS journal on computing, Journal of Heuristics and Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing.

In The Last Decade

Mark Fleischer

12 papers receiving 211 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Fleischer United States 6 113 110 43 30 26 12 242
Ko-Hsin Liang Australia 7 97 0.9× 102 0.9× 71 1.7× 20 0.7× 13 0.5× 7 240
Hans-Michael Voigt Germany 6 134 1.2× 184 1.7× 23 0.5× 15 0.5× 14 0.5× 12 293
Ma. Guadalupe Castillo Tapia Mexico 4 168 1.5× 167 1.5× 27 0.6× 63 2.1× 11 0.4× 5 278
Zefeng Chen China 12 230 2.0× 252 2.3× 36 0.8× 49 1.6× 24 0.9× 28 361
Langchun Si China 5 213 1.9× 234 2.1× 35 0.8× 28 0.9× 13 0.5× 8 358
Feng-Feng Wei China 8 125 1.1× 206 1.9× 23 0.5× 15 0.5× 29 1.1× 23 311
Severino F. Galán Spain 11 42 0.4× 171 1.6× 14 0.3× 37 1.2× 31 1.2× 18 323
Jakob Bossek Germany 11 157 1.4× 240 2.2× 126 2.9× 39 1.3× 59 2.3× 47 355
Volker Nannen Netherlands 7 148 1.3× 213 1.9× 43 1.0× 31 1.0× 29 1.1× 11 396
Abid Hussain Pakistan 7 65 0.6× 138 1.3× 67 1.6× 18 0.6× 17 0.7× 25 265

Countries citing papers authored by Mark Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Fleischer. A scholar is included among the top collaborators of Mark Fleischer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Fleischer. Mark Fleischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Fleischer, Mark. (2010). Key Account Management in the Managed Markets: Visibility and collaboration for greater effectiveness. Journal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing. 10(1). 53–60. 3 indexed citations
2.
Fleischer, Mark. (2007). Transformations for accelerating mcmc simulations with broken ergodicity. 2007 Winter Simulation Conference. 690. 658–666. 1 indexed citations
3.
Fleischer, Mark. (2005). Scale invariant pareto optimality. 233–240. 2 indexed citations
4.
Knowles, Joshua, David Corne, & Mark Fleischer. (2004). Bounded archiving using the lebesgue measure. Research Explorer (The University of Manchester). 4. 2490–2497. 98 indexed citations
5.
Fleischer, Mark. (2003). The Measure of Pareto Optima.. 519–533. 32 indexed citations
7.
Ball, Michael O., et al.. (2000). A Product Design System Employing Optimization-Based Tradeoff Analysis. 59–66. 2 indexed citations
8.
Fleischer, Mark & Sheldon H. Jacobson. (1999). Information Theory and the Finite-Time Behavior of the Simulated Annealing Algorithm: Experimental Results. INFORMS journal on computing. 11(1). 35–43. 16 indexed citations
9.
Jacobson, Sheldon H., Alan W. Johnson, Kelly A. Sullivan, Mark Fleischer, & Ashok Kumar. (1997). Metaheuristics for a Flexible Assembly System Design Problem. Journal of Heuristics. 3(2). 139–159. 1 indexed citations
10.
Fleischer, Mark. (1996). Cybernetic optimization by simulated annealing: Accelerating convergence by parallel processing and probabilistic feedback control. Journal of Heuristics. 1(2). 225–246. 8 indexed citations
11.
Fleischer, Mark. (1995). Simulated annealing. 155–161. 66 indexed citations
12.
Fleischer, Mark. (1994). Assessing the performance of the simulated annealing algorithm using information theory. OhioLink ETD Center (Ohio Library and Information Network). 8 indexed citations

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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