Len Swanson

550 citations
14 papers · 426 · h-index 8

Impact in

Papers in

Len Swanson

14 papers receiving 333 citations

Peers

Len Swanson
Comparison fields: 5 of 43
  • Management Science and Operations Research 276
  • Software 49
  • Computer Science Applications 36
  • Statistics and Probability 49
  • Computer Networks and Communications 135
Replace Ellen Boekkooi-Timminga with:
Ellen Boekkooi-Timminga Netherlands
David Mutchler United States
Kevin Mc Daid Ireland
Carmen Torres-Blanc Spain
Susanne Wolff United States
Martin Pollet Germany
Julián Gutiérrez United Kingdom
Ezio Lefons Italy
Tom Love United States
Mei-Hwa Chen United States
Len Swanson relative to Ellen Boekkooi-Timminga Netherlands Ellen Boekkooi-Timminga's profile →
Citations per field
00.5×2×4×6×
Ellen Boekkooi-Timminga · 1×
Citations per year

Countries citing papers authored by Len Swanson

Since Specialization
Citations

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

Fields of papers citing papers by Len Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Len Swanson, 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 Len Swanson Line = papers co-authored together Len Swanson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1993160
2 1993142
3 199836
4 199327
5 199214
6 197812
7 19919
8 19748
9 19985
10 20013
11 19913
12 20003
13 19912
14 19982

About Len Swanson

Len Swanson is a scholar working on Management Science and Operations Research, Information Systems, Software, Computer Science Applications and Statistics and Probability, having authored 14 papers that have together received 426 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Educational Technology and Assessment (6 papers), Software Testing and Debugging Techniques (3 papers), Teaching and Learning Programming (2 papers), Engineering and Test Systems (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Data Mining Algorithms and Applications (2 papers) and Cognitive and developmental aspects of mathematical skills (2 papers). The work is most often cited by research in Management Science and Operations Research (276 citations), Software (49 citations), Computer Science Applications (36 citations), Statistics and Probability (49 citations) and Computer Networks and Communications (135 citations). Len Swanson has collaborated with scholars based in United States. Frequent co-authors include Martha L. Stocking, CHARLES W. LEWIS, Walter D. Way and Robert L. Smith. Their work appears in journals such as Applied Psychological Measurement, Computers & Education, Journal of Educational Measurement and ETS Research Report Series.

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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