Leo Porter

3.5k total citations
107 papers, 2.1k citations indexed

About

Leo Porter is a scholar working on Computer Science Applications, Education and Media Technology. According to data from OpenAlex, Leo Porter has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Science Applications, 50 papers in Education and 41 papers in Media Technology. Recurrent topics in Leo Porter's work include Teaching and Learning Programming (66 papers), Experimental Learning in Engineering (40 papers) and Innovative Teaching Methods (39 papers). Leo Porter is often cited by papers focused on Teaching and Learning Programming (66 papers), Experimental Learning in Engineering (40 papers) and Innovative Teaching Methods (39 papers). Leo Porter collaborates with scholars based in United States, Canada and United Kingdom. Leo Porter's co-authors include Daniel Zingaro, Beth Simon, Cynthia Bailey Lee, William G. Griswold, Christine Alvarado, Soohyun Nam Liao, Dean M. Tullsen, Cynthia Taylor, Kevin C. Webb and Cynthia Lee and has published in prestigious journals such as Communications of the ACM, Computers & Education and ACM SIGPLAN Notices.

In The Last Decade

Leo Porter

96 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo Porter United States	27	1.5k	739	607	539	316	107	2.1k
Yifat Ben‐David Kolikant Israel	19	1.1k 0.7×	420 0.6×	509 0.8×	281 0.5×	397 1.3×	64	1.6k
Shuchi Grover United States	20	2.7k 1.8×	497 0.7×	1.4k 2.3×	319 0.6×	441 1.4×	66	3.0k
Quintin Cutts United Kingdom	22	931 0.6×	704 1.0×	461 0.8×	455 0.8×	257 0.8×	104	1.6k
Michal Armoni Israel	20	1.4k 0.9×	321 0.4×	682 1.1×	179 0.3×	349 1.1×	85	1.6k
Linda Mannila Sweden	17	1.3k 0.9×	353 0.5×	601 1.0×	235 0.4×	374 1.2×	49	1.6k
Sue Sentance United Kingdom	23	1.2k 0.8×	331 0.4×	480 0.8×	203 0.4×	351 1.1×	73	1.5k
Daniel Zingaro Canada	25	1.2k 0.8×	714 1.0×	557 0.9×	412 0.8×	219 0.7×	70	1.7k
‪Marcos Román-González‬ Spain	23	2.1k 1.4×	369 0.5×	1.0k 1.7×	127 0.2×	411 1.3×	55	2.5k
Carol Zander United States	21	1.2k 0.8×	245 0.3×	583 1.0×	262 0.5×	437 1.4×	59	1.6k
Vicki L. Almstrum United States	15	1.5k 1.0×	238 0.3×	664 1.1×	387 0.7×	443 1.4×	50	1.8k

Countries citing papers authored by Leo Porter

Since Specialization

Citations

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

Fields of papers citing papers by Leo Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Porter

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Porter. A scholar is included among the top collaborators of Leo Porter 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 Leo Porter. Leo Porter 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

1.

Kolog, Emmanuel Awuni, Oscar Karnalim, Jack Parkinson, et al.. (2025). The Impostor Phenomenon in the Global Computing Graduate Student Population. VTechWorks (Virginia Tech). 322–331.

2.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2025). Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. VTechWorks (Virginia Tech). 300–338. 10 indexed citations

3.

Smith, David H., et al.. (2025). Achievement Goals in CS1-LLM. 144–153. 2 indexed citations

4.

Porter, Leo, et al.. (2025). Students' Use of GitHub Copilot for Working with Large Code Bases. 1050–1056. 3 indexed citations

5.

Raj, Adalbert Gerald Soosai, et al.. (2025). How Students Value Technology vs. Paper-Based Resources in CS1 in Prison. eScholarship (California Digital Library). 227–235.

6.

Griswold, William G., et al.. (2025). Faculty Reasons For Using or Refraining From Culturally Relevant Pedagogies at Hispanic-Serving Institutions. eScholarship (California Digital Library). 43–51.

7.

Petersen, Andrew, et al.. (2025). Prerequisites and Performance in a Machine Learning Course: A Quantitative Analysis. eScholarship (California Digital Library). 1–11.

8.

Guo, Philip J., et al.. (2025). Undergraduate Computing Tutors' Perceptions of their Roles, Stressors, and Barriers to Effectiveness. 1155–1161.

9.

Margulieux, Lauren E., et al.. (2024). Applying CS0/CS1 Student Success Factors and Outcomes to Biggs' 3P Educational Model. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1168–1174. 2 indexed citations

10.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2024). How Instructors Incorporate Generative AI into Teaching Computing. OHMdok (Technische Hochschule Nürnberg). 771–772. 10 indexed citations

11.

Raj, Adalbert Gerald Soosai, et al.. (2024). Challenges and Approaches to Teaching CS1 in Prison. 512–518. 6 indexed citations

12.

Griswold, William G., et al.. (2024). A Comparison of Student Behavioral Engagement in Traditional Live Coding and Active Live Coding Lectures. 513–519. 2 indexed citations

13.

Zingaro, Daniel, et al.. (2024). CS1-LLM: Integrating LLMs into CS1 Instruction. 297–303. 32 indexed citations

14.

Raj, Adalbert Gerald Soosai, et al.. (2024). Uncovering Meaningful Computing Contexts for Incarcerated College Students. 701–707. 2 indexed citations

15.

Trajković, Jelena, et al.. (2023). Instructor Perspectives on Prerequisite Courses in Computing. 277–283. 6 indexed citations

16.

Zilles, Craig, David P. Bunde, Jaime Spacco, et al.. (2022). Spiffy Peer Instruction Questions. 1226–1227. 1 indexed citations

17.

Liao, Soohyun Nam, Daniel Zingaro, Kevin Thai, et al.. (2019). A Robust Machine Learning Technique to Predict Low-performing Students. ACM Transactions on Computing Education. 19(3). 1–19. 67 indexed citations

18.

Porter, Leo & Daniel Zingaro. (2013). Peer instruction in CS: research and experience. Journal of computing sciences in colleges. 28(6). 11–13. 1 indexed citations

19.

Zingaro, Daniel, Leo Porter, Beth Simon, & John Glick. (2011). Peer instruction in the CS classroom: a hands-on introduction: conference tutorial. Journal of computing sciences in colleges. 26(4). 218–218. 1 indexed citations

20.

Porter, Leo, et al.. (2008). Accurate branch prediction for short threads. 125–134. 13 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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