Pamela M. Seethaler

2.7k citations
29 papers · 1.9k indexed · h-index 20

Pamela M. Seethaler

28 papers receiving 1.8k citations

Peers

Pamela M. Seethaler
Comparison fields: 5 of 69
  • Statistics and Probability 1.5k
  • Developmental and Educational Psychology 1.3k
  • Education 1.2k
  • Experimental and Cognitive Psychology 191
  • Neuropsychology and Physiological Psychology 22
Replace Sheri‐Lynn Skwarchuk with:
Sheri‐Lynn Skwarchuk Canada
Joan Bryant United States
Chaitanya Ramineni United States
Deepthi Kamawar Canada
Rose K. Vukovic United States
Tuire Koponen Finland
Joke Torbeyns Belgium
Andrea M. Capizzi United States
Tammy D. Tolar United States
María Inés Susperreguy Chile
Pamela M. Seethaler relative to Sheri‐Lynn Skwarchuk Canada Sheri‐Lynn Skwarchuk's profile →
Citations per field
00.5×1.5×
Sheri‐Lynn Skwarchuk · 1×
Citations per year

Countries citing papers authored by Pamela M. Seethaler

Since Specialization
Citations

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

Fields of papers citing papers by Pamela M. Seethaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Pamela M. Seethaler, 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 Pamela M. Seethaler Line = papers co-authored together Pamela M. Seethaler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202313
3 20207
4 201917
5 201936
6 20169
7 201163
8 201130
9 20119
10 201066
11 201032
12 2010212
13 201033
14 2009101
15 2009147
16 2008121
17 2006458
18 200627
19 2006118
20 200551

About Pamela M. Seethaler

Pamela M. Seethaler is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Education, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (24 papers), Reading and Literacy Development (22 papers), Mathematics Education and Teaching Techniques (9 papers), Educational and Psychological Assessments (5 papers), Behavioral and Psychological Studies (3 papers), Cognitive Abilities and Testing (2 papers), Disability Education and Employment (2 papers) and Language Development and Disorders (2 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Developmental and Educational Psychology (1.3k citations) and Education (1.2k citations). Pamela M. Seethaler has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lynn S. Fuchs, Douglas Fuchs, Sarah R. Powell, Jack Μ. Fletcher, Carol L. Hamlett, Donald L. Compton, Christopher Schatschneider, Andrea M. Capizzi, Joan Bryant and Paul T. Cirino. Their work appears in journals such as Journal of Learning Disabilities, Journal of Educational Psychology, Exceptional Children, Learning Disabilities Research and Practice and The Elementary School Journal.

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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