Franz Oppacher

1.2k total citations
32 papers, 338 citations indexed

About

Franz Oppacher is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Franz Oppacher has authored 32 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Franz Oppacher's work include Evolutionary Algorithms and Applications (21 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Franz Oppacher is often cited by papers focused on Evolutionary Algorithms and Applications (21 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Franz Oppacher collaborates with scholars based in Canada, United States and France. Franz Oppacher's co-authors include Mark Wineberg, Steffen Christensen, Una-May O’Reilly, Dwight Deugo, Hassan Masum, Stan Matwin, Patrick Constant, Douglas Skuce, Stanisław Szpakowicz and Tony White and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Technological Forecasting and Social Change and Data & Knowledge Engineering.

In The Last Decade

Franz Oppacher

31 papers receiving 288 citations

Peers

Franz Oppacher

AI

CTM

CNC

IS

MB

Detlef Plump United Kingdom

Sabine Kuske Germany

Berthold Hoffmann Germany

Bořivoj Melichar Czechia

Michal W. Przewozniczek Poland

Eric Bloedorn United States

Frank Drewes Sweden

Camilo Rocha Colombia

Magnus Merkel Sweden

Rüdiger Valk Germany

Detlef Plump United Kingdom

Franz Oppacher

321 ×1.1

AI

155 ×1.1

CTM

55 ×1.2

CNC

120 ×3.3

IS

36 ×2.0

MB

Citations per year, relative to Franz Oppacher Franz Oppacher (= 1×) peers Detlef Plump

Countries citing papers authored by Franz Oppacher

Since Specialization

Citations

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

Fields of papers citing papers by Franz Oppacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Oppacher

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Oppacher. A scholar is included among the top collaborators of Franz Oppacher 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 Franz Oppacher. Franz Oppacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

White, Tony, et al.. (2011). Basic object oriented genetic programming. 59–68. 1 indexed citations

2.

Oppacher, Franz, et al.. (2007). A multiple-function toy model of exaptation in a genetic algorithm. 3. 4591–4598. 2 indexed citations

3.

Christensen, Steffen & Franz Oppacher. (2007). Solving the artificial ant on the Santa Fe trail problem in 20,696 fitness evaluations. 1574–1579. 7 indexed citations

4.

Oppacher, Franz, et al.. (2007). Irreducible complexity in a genetic algorithm. 1. 3692–3697. 1 indexed citations

5.

Oppacher, Franz, et al.. (2006). Test Case Quality Measures in the Optimization of a Genetic Algorithm for Sorting Networks.. International Conference on Artificial Intelligence. 203–209.

6.

Oppacher, Franz, et al.. (2006). Symmetric Comparator Pairs In The Initialization Of Genetic Algorithm Populations For Sorting Networks. 3. 2845–2850. 4 indexed citations

7.

Masum, Hassan, et al.. (2005). Statistical analysis of heuristics for evolving sorting networks. 1265–1270. 7 indexed citations

8.

Oppacher, Franz, et al.. (2003). RATIONALE: reasoning by explaining. 13. 258–265. 1 indexed citations

9.

Oppacher, Franz, et al.. (2003). Rule acquisition with a genetic algorithm. Genetic and Evolutionary Computation Conference. 125–129. 1 indexed citations

10.

Masum, Hassan, Steffen Christensen, & Franz Oppacher. (2002). The turing ratio: metrics for open-ended tasks. Genetic and Evolutionary Computation Conference. 973–980. 8 indexed citations

11.

Oppacher, Franz, et al.. (2002). Combining Competitive And Cooperative Coevolution For Training Cascade Neural Networks. Genetic and Evolutionary Computation Conference. 618–625. 3 indexed citations

12.

Oppacher, Franz & Mark Wineberg. (2002). Reconstructing the shifting balance theory in a GA: taking Sewall Wright seriously. 1. 219–226. 6 indexed citations

13.

O’Reilly, Una-May & Franz Oppacher. (2002). Hybridized crossover-based search techniques for program discovery. 2. 573–578. 32 indexed citations

14.

Christensen, Steffen & Franz Oppacher. (2001). What can we learn from No Free Lunch? a first attempt to characterize the concept of a searchable function. Genetic and Evolutionary Computation Conference. 1219–1226. 34 indexed citations

15.

Wineberg, Mark & Franz Oppacher. (2000). Enhancing the GA's ability to cope with dynamic environments. Genetic and Evolutionary Computation Conference. 20(4). 3–10. 29 indexed citations

16.

Oppacher, Franz & Mark Wineberg. (1999). The Shifting Balance Genetic Algorithm: improving the GA in a dynamic environment. Genetic and Evolutionary Computation Conference. 504–510. 73 indexed citations

17.

Deugo, Dwight, et al.. (1999). Patterns as a Means for Intelligent Software Engineering.. International Conference on Artificial Intelligence. 605–611. 16 indexed citations

18.

O’Reilly, Una-May & Franz Oppacher. (1992). An Experimental Perspective on Genetic Programming.. 333–342. 13 indexed citations

19.

Matwin, Stan, Franz Oppacher, & Patrick Constant. (1989). Knowledge acquisition by incremental learning from problem‐solution pairs. Computational Intelligence. 5(2). 58–66. 2 indexed citations

20.

Skuce, Douglas, et al.. (1985). A logic-based knowledge source system for natural language documents. Data & Knowledge Engineering. 1(3). 201–231. 6 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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