Pete Goldschmidt

1.1k total citations
30 papers, 695 citations indexed

About

Pete Goldschmidt is a scholar working on Education, Information Systems and Management and Economics and Econometrics. According to data from OpenAlex, Pete Goldschmidt has authored 30 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Education, 3 papers in Information Systems and Management and 3 papers in Economics and Econometrics. Recurrent topics in Pete Goldschmidt's work include School Choice and Performance (15 papers), Parental Involvement in Education (6 papers) and Education Systems and Policy (5 papers). Pete Goldschmidt is often cited by papers focused on School Choice and Performance (15 papers), Parental Involvement in Education (6 papers) and Education Systems and Policy (5 papers). Pete Goldschmidt collaborates with scholars based in United States, Netherlands and Australia. Pete Goldschmidt's co-authors include Jia Wang, Jia Wang, Rena Dorph, Jacqueline Barber, P. David Pearson, Gina N. Cervetti, Geoffrey Phelps, Jia Wang, Kilchan Choi and José Felipe Martínez and has published in prestigious journals such as American Educational Research Journal, Journal of Research in Science Teaching and Economics of Education Review.

In The Last Decade

Pete Goldschmidt

25 papers receiving 545 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pete Goldschmidt United States	12	575	156	73	71	61	30	695
Kate Walsh United States	11	417 0.7×	127 0.8×	67 0.9×	53 0.7×	27 0.4×	35	525
Tor Ormseth	4	638 1.1×	91 0.6×	52 0.7×	128 1.8×	71 1.2×	6	737
Kelly Puzio United States	10	372 0.6×	188 1.2×	25 0.3×	59 0.8×	47 0.8×	16	610
Daniel J. Heck United States	9	525 0.9×	114 0.7×	55 0.8×	116 1.6×	52 0.9×	22	640
Fiona Ell New Zealand	13	527 0.9×	77 0.5×	36 0.5×	130 1.8×	27 0.4×	37	638
John Schwille United States	14	712 1.2×	84 0.5×	93 1.3×	148 2.1×	22 0.4×	33	812
John Cresswell Australia	12	653 1.1×	177 1.1×	16 0.2×	134 1.9×	42 0.7×	24	810
Anne Podolsky United States	10	431 0.7×	62 0.4×	28 0.4×	58 0.8×	47 0.8×	19	560
Fritz C. Staub Switzerland	10	613 1.1×	177 1.1×	36 0.5×	117 1.6×	13 0.2×	32	693
Cynthia Groff Netherlands	7	274 0.5×	200 1.3×	30 0.4×	42 0.6×	22 0.4×	18	448

Countries citing papers authored by Pete Goldschmidt

Since Specialization

Citations

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

Fields of papers citing papers by Pete Goldschmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Goldschmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Goldschmidt. A scholar is included among the top collaborators of Pete Goldschmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pete Goldschmidt. Pete Goldschmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Goldschmidt, Pete, et al.. (2021). Principal Effects on Academic Progress Over Time and the Potential Effects of School Context and Principal Leadership Practices. 6(1). 12–23.

Goldschmidt, Pete, et al.. (2018). Exploratory Analysis of Teacher Artifacts as Evidence of Educator Effectiveness Implementation Fidelity. 3(1). 6–18. 1 indexed citations

Goldschmidt, Pete & Kenji Hakuta. (2017). Incorporating English Learner Progress into State Accountability Systems.. 2 indexed citations

Martínez, José Felipe, Jonathan Schweig, & Pete Goldschmidt. (2016). Approaches for Combining Multiple Measures of Teacher Performance. Educational Evaluation and Policy Analysis. 38(4). 738–756. 26 indexed citations

Cervetti, Gina N., Jacqueline Barber, Rena Dorph, P. David Pearson, & Pete Goldschmidt. (2012). The impact of an integrated approach to science and literacy in elementary school classrooms. Journal of Research in Science Teaching. 49(5). 631–658. 178 indexed citations

Goldschmidt, Pete, et al.. (2011). Evaluation of Seeds of Science/Roots of Reading: Effective Tools for Developing Literacy through Science in the Early Grades-Light Energy Unit. CRESST Report 781.. 6 indexed citations

Goldschmidt, Pete & Geoffrey Phelps. (2009). Does teacher professional development affect content and pedagogical knowledge: How much and for how long?. Economics of Education Review. 29(3). 432–439. 70 indexed citations

Goldschmidt, Pete, José Felipe Martínez, David Niemi, & Eva L. Baker. (2007). Relationships among Measures as Empirical Evidence of Validity: Incorporating Multiple Indicators of Achievement and School Context.. Educational Assessment. 12. 239–266. 11 indexed citations

Goldschmidt, Pete & Kilchan Choi. (2007). The Practical Benefits of Growth Models for Accountability and the Limitations under NCLB. Policy Brief 9, Spring 2007.. 1 indexed citations

10.

Martínez, José Felipe, et al.. (2007). Language Arts Performance Assignments: Generalizability Studies of Local and Central Ratings. Educational Assessment. 12. 267–282. 5 indexed citations

11.

Choi, Kilchan, et al.. (2006). Exploring Models of School Performance: From Theory to Practice. CSE Report 673.. 4 indexed citations

12.

Goldschmidt, Pete, et al.. (2004). Using Hierarchical Growth Models To Monitor School Performance Over Time: Comparing NCE to Scale Score Results. CSE Report 618.. 6 indexed citations

13.

Goldschmidt, Pete, et al.. (2004). The Relationship between School Quality and the Probability of Passing Standards-Based High-Stakes Performance Assessments. CSE Technical Report 644.. 2 indexed citations

14.

Wang, Jia & Pete Goldschmidt. (2003). Importance of Middle School Mathematics on High School Students' Mathematics Achievement. The Journal of Educational Research. 97(1). 3–17. 48 indexed citations

15.

Goldschmidt, Pete. (1999). International Educational Performance of the United States: Is there a problem that money can fix?. Comparative Education. 35(1). 27–43. 2 indexed citations

16.

Goldschmidt, Pete & Jia Wang. (1999). When Can Schools Affect Dropout Behavior? A Longitudinal Multilevel Analysis. American Educational Research Journal. 36(4). 715–738. 152 indexed citations

17.

Wang, Jia & Pete Goldschmidt. (1999). Opportunity to Learn, Language Proficiency, and Immigrant Status Effects on Mathematics Achievement. The Journal of Educational Research. 93(2). 101–111. 78 indexed citations

18.

Jacoby, Sanford M. & Pete Goldschmidt. (1998). Education, Skill, and Wage Inequality. Challenge. 41(6). 88–120. 4 indexed citations

19.

Goldschmidt, Pete. (1986). Health Services Research and Development: the Veterans Administration Program.. PubMed. 20(6 Pt 2). 789–824. 2 indexed citations

20.

Bollack, C, et al.. (1981). [Personal experience of urate lithiasis (author's transl)].. PubMed. 87(4). 231–3. 2 indexed citations

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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