SW

1.8k citations
10 papers · 1.3k · 1 hit paper · h-index 8

Impact in

Papers in

SW

10 papers receiving 1.2k citations

SW's Hit Papers

Applications of Latent Trait and Latent Class Models in the Social Sciences 1998 · 345 citations
3450+9+18Years since publication100200300

Peers

SW
Comparison fields: 5 of 183
  • Statistics and Probability 133
  • Management Science and Operations Research 156
  • Tourism, Leisure and Hospitality Management 13
  • Artificial Intelligence 224
  • Experimental and Cognitive Psychology 83
Replace Shizuhiko Nishisato with:
Shizuhiko Nishisato Canada
David K. Hildebrand United States
mw United Kingdom
Ronald D. Fricker United States
Ulf Olsson Norway
Bruce L. Bowerman United States
James C. Lingoes United States
Gerhard Arminger Germany
Jeffrey B. Lewis United States
Thomas R. Stewart United States
SW relative to Shizuhiko Nishisato Canada Shizuhiko Nishisato's profile →
Citations per field
00.5×
Shizuhiko Nishisato · 1×
Citations per year

Countries citing papers authored by SW

Since Specialization
Citations

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

Fields of papers citing papers by SW

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside SW, 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 SW Line = papers co-authored together SW links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Applications of Latent Trait and Latent Class Models in the Social Sciences
Hit paper breakdown →
1998345
2 1995303
3 1997211
4 1994195
5 1995155
6 199819
7 199718
8 199513
9 19962
10 19941

About SW

SW is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Information Systems, Information Systems and Management Science and Operations Research, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (1 paper), Advanced Queuing Theory Analysis (1 paper), Distributed systems and fault tolerance (1 paper), Network Traffic and Congestion Control (1 paper), Computational and Text Analysis Methods (1 paper), Simulation Techniques and Applications (1 paper), Model-Driven Software Engineering Techniques (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Statistics and Probability (133 citations), Management Science and Operations Research (156 citations), Tourism, Leisure and Hospitality Management (13 citations), Artificial Intelligence (224 citations) and Experimental and Cognitive Psychology (83 citations). Frequent co-authors include Rolf Langeheine, Jürgen Rost, Jörg Blasius, Michael Greenacre, Eugene Charniak, Andrew Pickles, Barry J. Everitt, D.D. Yao, Anil K. Chaturvedi and Paul Glasserman. Their work appears in journals such as Journal of the American Statistical Association.

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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