Thomas B�ck

1.6k citations
3 papers · 1.0k · 1 hit paper · h-index 3

Impact in

Papers in

Thomas B�ck

3 papers receiving 1.0k citations

Thomas B�ck's Hit Papers

Evolutionary computation: Toward a new philosophy of machine intelligence 1997 · 1.0k citations
1.0k0+9+19Years since publication2505007501000

Peers

Thomas B�ck
Comparison fields: 5 of 110
  • Artificial Intelligence 543
  • Computational Theory and Mathematics 189
  • Control and Systems Engineering 157
  • Industrial and Manufacturing Engineering 52
  • Management Science and Operations Research 63
Replace Dirk Schlierkamp-Voosen with:
Dirk Schlierkamp-Voosen Germany
Hitoshi Iba Japan
Alec Banks United Kingdom
Toshinori Munakata United States
Yuanxiang Li China
Jørgen Vesterstrøm Denmark
M. Schneider United States
Samir W. Mahfoud United States
Kumara Sastry United States
Saratha Sathasivam Malaysia
Thomas B�ck relative to Dirk Schlierkamp-Voosen Germany Dirk Schlierkamp-Voosen's profile →
Citations per field
00.5×1.5×
Dirk Schlierkamp-Voosen · 1×
Citations per year

Countries citing papers authored by Thomas B�ck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B�ck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B�ck. 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 Thomas B�ck. The network helps show where Thomas B�ck may publish in the future.

Co-authors

The 2 scholars most cited alongside Thomas B�ck, 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 Thomas B�ck Line = papers co-authored together Thomas B�ck links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Evolutionary computation: Toward a new philosophy of machine intelligence
Hit paper breakdown →
19971010
2 199423
3 20042

About Thomas B�ck

Thomas B�ck is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 3 papers that have together received 1.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (2 papers), Optimization and Packing Problems (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Constraint Satisfaction and Optimization (1 paper), Computability, Logic, AI Algorithms (1 paper) and Scheduling and Timetabling Solutions (1 paper). The work is most often cited by research in Artificial Intelligence (543 citations), Computational Theory and Mathematics (189 citations), Control and Systems Engineering (157 citations), Industrial and Manufacturing Engineering (52 citations) and Management Science and Operations Research (63 citations). Thomas B�ck has collaborated with scholars based in Netherlands and Germany. Frequent co-authors include Frank Hoffmeister and Jano van Hemert. Their work appears in journals such as Journal of Heuristics, Statistics and Computing and Complexity.

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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