Niral Shah

1.5k total citations
34 papers, 899 citations indexed

About

Niral Shah is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Niral Shah has authored 34 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Education, 10 papers in Computer Science Applications and 9 papers in Developmental and Educational Psychology. Recurrent topics in Niral Shah's work include Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (7 papers) and Critical Race Theory in Education (6 papers). Niral Shah is often cited by papers focused on Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (7 papers) and Critical Race Theory in Education (6 papers). Niral Shah collaborates with scholars based in United States, France and Switzerland. Niral Shah's co-authors include Colleen M. Lewis, Daniel L. Reinholz, Na’ilah Suad Nasir, Justin A. Coles, Cyndy R. Snyder, Kihana Miraya Ross, Zeus Leonardo, Beth Herbel‐Eisenmann, Isabel White and Jessica Smith and has published in prestigious journals such as PLoS ONE, Harvard Educational Review and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

Niral Shah

34 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niral Shah United States 17 604 248 210 198 93 34 899
J. Randy McGinnis United States 17 622 1.0× 285 1.1× 160 0.8× 158 0.8× 50 0.5× 78 950
Eugene Judson United States 16 1.1k 1.8× 264 1.1× 88 0.4× 77 0.4× 67 0.7× 66 1.3k
Ghislaine Gueudet France 17 785 1.3× 206 0.8× 136 0.6× 185 0.9× 48 0.5× 54 980
Britte Haugan Cheng United States 9 490 0.8× 261 1.1× 144 0.7× 95 0.5× 60 0.6× 12 845
Danhui Zhang China 18 516 0.9× 130 0.5× 78 0.4× 110 0.6× 57 0.6× 35 793
Kathy Garvin-Doxas United States 13 385 0.6× 235 0.9× 273 1.3× 66 0.3× 49 0.5× 23 795
Drew Polly United States 24 1.3k 2.2× 246 1.0× 143 0.7× 134 0.7× 69 0.7× 121 1.6k
Rosemary Deaney United Kingdom 16 663 1.1× 202 0.8× 66 0.3× 103 0.5× 28 0.3× 18 824
Benjamin Wiggins United States 9 353 0.6× 178 0.7× 75 0.4× 79 0.4× 97 1.0× 15 655
Eric R. Banilower United States 12 814 1.3× 301 1.2× 57 0.3× 61 0.3× 81 0.9× 24 967

Countries citing papers authored by Niral Shah

Since Specialization
Citations

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

Fields of papers citing papers by Niral Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niral Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Niral Shah. A scholar is included among the top collaborators of Niral Shah 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 Niral Shah. Niral Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reinholz, Daniel L., et al.. (2024). Equity in practice: Assigning competence to shape STEM student participation. PLoS ONE. 19(4). e0299984–e0299984. 1 indexed citations
2.
3.
Shah, Niral, et al.. (2023). When Only White Students Talk: EQUIP-ing Prospective Teachers to Notice Inequitable Participation. 11(3). 155–168. 3 indexed citations
4.
Reinholz, Daniel L., et al.. (2023). Visualizing inequity: how STEM educators interpret data visualizations to make judgments about racial inequity. SN Social Sciences. 3(5). 1 indexed citations
5.
Shah, Niral, et al.. (2022). Tracking Inequity: An Actionable Approach to Addressing Inequities in Physics Classrooms. The Physics Teacher. 60(6). 414–418. 3 indexed citations
6.
Reinholz, Daniel L., et al.. (2022). When Active Learning Is Inequitable: Women’s Participation Predicts Gender Inequities in Mathematical Performance. Journal for Research in Mathematics Education. 53(3). 204–226. 40 indexed citations
7.
Reinholz, Daniel L., et al.. (2022). Not Another Bias Workshop: Using Equity Analytics to Promote Antiracist Teaching. Change The Magazine of Higher Learning. 54(4). 11–17. 6 indexed citations
8.
Reinholz, Daniel L., et al.. (2021). Capturing who participates and how: the stability of classroom observations using EQUIP. SN Social Sciences. 1(7). 2 indexed citations
9.
Shah, Niral, Beth Herbel‐Eisenmann, & Daniel L. Reinholz. (2020). Why Mrs. Stone Never Calls on Debra: A Case of Race-Gender Ideology in Practice.. ICLS. 3 indexed citations
10.
Reinholz, Daniel L., et al.. (2020). A Pandemic Crash Course: Learning to Teach Equitably in Synchronous Online Classes. CBE—Life Sciences Education. 19(4). ar60–ar60. 35 indexed citations
11.
Herbel‐Eisenmann, Beth & Niral Shah. (2019). Detecting and Reducing Bias in Questioning Patterns. Mathematics Teaching in the Middle School. 24(5). 282–289. 14 indexed citations
12.
Reinholz, Daniel L., et al.. (2019). Hidden competence: women’s mathematical participation in public and private classroom spaces. Educational Studies in Mathematics. 102(2). 153–172. 40 indexed citations
13.
Shah, Niral. (2017). Race, Ideology, and Academic Ability: A Relational Analysis of Racial Narratives in Mathematics. Teachers College Record The Voice of Scholarship in Education. 119(7). 1–42. 71 indexed citations
14.
Shah, Niral, et al.. (2016). Equitable Participation in a Mathematics Classroom from a Quantitative Perspective.. Proceedings of the ... PME Conference. 5 indexed citations
15.
Shah, Niral, et al.. (2014). Analyzing equity in collaborative learning situations: A comparative case study in elementary computer science. International Conference of Learning Sciences. 1. 495–502. 21 indexed citations
16.
Shah, Niral, et al.. (2013). Building equitable computer science classrooms. 263–268. 25 indexed citations
17.
Patel, Manish P., et al.. (2012). Bilayer Tablets – A Review of State of Art. Research Journal of Pharmaceutical Dosage Forms and Technology. 4(3). 160–165. 2 indexed citations
18.
Shah, Niral. (2012). Mathematics learning in a racial context: Unpacking students' reasoning about "Asians are good at math". International Conference of Learning Sciences. 1 indexed citations
19.
Nasir, Na’ilah Suad, Cyndy R. Snyder, Niral Shah, & Kihana Miraya Ross. (2012). Racial Storylines and Implications for Learning. Human Development. 55(5-6). 285–301. 67 indexed citations
20.
Nasir, Na’ilah Suad & Niral Shah. (2011). On Defense: African American Males Making Sense of Racialized Narratives in Mathematics Education. Issue Lab (Candid). 2(1). 24–45. 69 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J. Randy McGinnis Breakdown of academic impact, for papers by Eugene Judson Breakdown of academic impact, for papers by Ghislaine Gueudet Breakdown of academic impact, for papers by Britte Haugan Cheng Breakdown of academic impact, for papers by Danhui Zhang Breakdown of academic impact, for papers by Kathy Garvin-Doxas Breakdown of academic impact, for papers by Drew Polly Breakdown of academic impact, for papers by Rosemary Deaney Breakdown of academic impact, for papers by Benjamin Wiggins Breakdown of academic impact, for papers by Eric R. Banilower
Rankless by CCL
2026