S.M. Baas

856 citations
5 papers · 628 · 1 hit paper · h-index 5

Impact in

Papers in

S.M. Baas

5 papers receiving 564 citations

S.M. Baas's Hit Papers

Rating and ranking of multiple-aspect alternatives using fuzzy sets 1977 · 561 citations
5610+16+32Years since publication100200300400500

Peers

S.M. Baas
Comparison fields: 5 of 73
  • Management Science and Operations Research 480
  • Statistics and Probability 248
  • Control and Systems Engineering 175
  • Statistics, Probability and Uncertainty 47
  • Management of Technology and Innovation 41
Replace Gerd Bohlender with:
Gerd Bohlender Germany
Ruoning Xu China
T.-C. Chu Taiwan
Feiyu Zhu United States
Michael O'Hagan Japan
A. Çağrı Tolga Türkiye
Xiaohan Yu China
Hsi-Mei Hsu Taiwan
Gai-li Xu China
Fang Jin China
S.M. Baas relative to Gerd Bohlender Germany Gerd Bohlender's profile →
Citations per field
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Gerd Bohlender · 1×
Citations per year

Countries citing papers authored by S.M. Baas

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Baas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Baas. 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 S.M. Baas. The network helps show where S.M. Baas may publish in the future.

Co-authors

The 2 scholars most cited alongside S.M. Baas, 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 S.M. Baas Line = papers co-authored together S.M. Baas links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Rating and ranking of multiple-aspect alternatives using fuzzy sets
Hit paper breakdown →
1977561
2 197637
3 198917
4 19918
5 19945

About S.M. Baas

S.M. Baas is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 5 papers that have together received 628 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (3 papers), Fuzzy Systems and Optimization (3 papers), Optimization and Search Problems (1 paper), Scheduling and Optimization Algorithms (1 paper), Control Systems and Identification (1 paper), Bayesian Modeling and Causal Inference (1 paper), Distributed and Parallel Computing Systems (1 paper) and Quality Function Deployment in Product Design (1 paper). The work is most often cited by research in Management Science and Operations Research (480 citations), Statistics and Probability (248 citations), Control and Systems Engineering (175 citations), Statistics, Probability and Uncertainty (47 citations) and Management of Technology and Innovation (41 citations). S.M. Baas has collaborated with scholars based in Netherlands. Frequent co-authors include Huibert Kwakernaak and Walter Kern. Their work appears in journals such as Psychometrika, European Journal of Operational Research, Automatica and IFAC Proceedings Volumes.

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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