Samuel DiGangi

1.5k total citations
30 papers, 608 citations indexed

About

Samuel DiGangi is a scholar working on Education, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Samuel DiGangi has authored 30 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Education, 11 papers in Developmental and Educational Psychology and 8 papers in Information Systems. Recurrent topics in Samuel DiGangi's work include Online Learning and Analytics (5 papers), Online and Blended Learning (5 papers) and Behavioral and Psychological Studies (4 papers). Samuel DiGangi is often cited by papers focused on Online Learning and Analytics (5 papers), Online and Blended Learning (5 papers) and Behavioral and Psychological Studies (4 papers). Samuel DiGangi collaborates with scholars based in United States, Russia and Ireland. Samuel DiGangi's co-authors include Chong Ho Yu, Angel Jannasch‐Pennell, John W. Maag, Robert B. Rutherford, Robert Reid, E. Amanda Boutot, Wen‐Juo Lo, John T. Behrens, Alex Yu and Karen Burstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Indicators Research and Journal of Applied Behavior Analysis.

In The Last Decade

Samuel DiGangi

29 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel DiGangi United States 11 228 146 88 77 69 30 608
Sedat Şen Türkiye 17 126 0.6× 143 1.0× 79 0.9× 149 1.9× 68 1.0× 61 757
Wayne J. Camara United States 14 127 0.6× 308 2.1× 85 1.0× 288 3.7× 113 1.6× 71 1.1k
W. Paul Jones United States 17 128 0.6× 224 1.5× 197 2.2× 148 1.9× 102 1.5× 63 716
Phill Gagné United States 10 118 0.5× 113 0.8× 115 1.3× 135 1.8× 59 0.9× 20 775
Melinda R. Hess United States 9 188 0.8× 305 2.1× 59 0.7× 60 0.8× 45 0.7× 20 637
Melissa S. Yale United States 5 207 0.9× 443 3.0× 78 0.9× 64 0.8× 20 0.3× 6 858
Margaret Wu Australia 13 171 0.8× 600 4.1× 135 1.5× 64 0.8× 26 0.4× 29 1.1k
Petra Lietz Australia 15 114 0.5× 381 2.6× 118 1.3× 105 1.4× 36 0.5× 54 764
R. S. Malaysia 2 155 0.7× 347 2.4× 58 0.7× 71 0.9× 30 0.4× 3 841
Matthew Boswell United States 18 57 0.3× 267 1.8× 97 1.1× 89 1.2× 34 0.5× 44 815

Countries citing papers authored by Samuel DiGangi

Since Specialization
Citations

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

Fields of papers citing papers by Samuel DiGangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel DiGangi

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel DiGangi. A scholar is included among the top collaborators of Samuel DiGangi 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 Samuel DiGangi. Samuel DiGangi 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.
Yu, Chong Ho, et al.. (2021). A Data Mining Approach for Identifying Predictors of Student Retention from Sophomore to Junior Year. Journal of Data Science. 8(2). 307–325. 17 indexed citations
2.
Yu, Chong Ho, et al.. (2020). A data visualization and data mining approach to response and non-response analysis in survey research. Scholarworks (University of Massachusetts Amherst). 21 indexed citations
3.
Boutot, E. Amanda & Samuel DiGangi. (2018). Effects of Activation of Preferred Stimulus on Tummy Time Behavior of an Infant with Down Syndrome and Associated Hypotonia. Behavior Analysis in Practice. 11(2). 144–147. 10 indexed citations
4.
Yu, Chong Ho, et al.. (2014). Multi-Sensory Cognitive Learning as Facilitated in a Multimedia Tutorial for Item Response Theory. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Yu, Chong Ho, Samuel DiGangi, & Angel Jannasch‐Pennell. (2011). A Time-Lag Analysis of the Relationships Among PISA Scores, Scientific Research Publication, and Economic Performance. Social Indicators Research. 107(2). 317–330. 4 indexed citations
6.
DiGangi, Samuel, et al.. (2009). The Arab Grid for Learning: A Model for System-Wide Resource Sharing and Services. SSRN Electronic Journal.
7.
Lynn, Theo, et al.. (2009). Technology Ownership, Usage and Expectations of Business School Freshmen: Evidence from an Irish University. SSRN Electronic Journal. 1 indexed citations
8.
Yu, Chong Ho, et al.. (2009). An Exploratory Crossover Study of Learner Perceptions of Use of Audio in Multimedia-Based Tutorials. Journal of Educational Computing Research. 40(1). 23–46. 6 indexed citations
9.
Yu, Chong Ho, et al.. (2008). Profiling Students Who Take Online Courses Using Data Mining Methods.. Online journal of distance learning administration. 11(2). 8 indexed citations
10.
Yu, Chong Ho, Angel Jannasch‐Pennell, & Samuel DiGangi. (2008). A Non-technical Approach for Illustrating Item Response Theory. 9(2). 1–32. 2 indexed citations
11.
DiGangi, Samuel, et al.. (2008). Examining Student Technology Ownership and Use: Generational Differences and Pedagogical Challenges. The International Journal of Technology Knowledge and Society. 4(4). 129–142. 1 indexed citations
12.
Yu, Chong Ho, et al.. (2008). The Role of Abductive Reasoning in Cognitive-Based Assessment. 7(2). 310–322. 3 indexed citations
13.
DiGangi, Samuel, et al.. (2007). One to One Computing in Higher Education: A Survey of Technology Practices and Needs. 15(4). 367–387. 7 indexed citations
14.
Jannasch‐Pennell, Angel, et al.. (2005). The Digital Divide: Focused Research Results On Peer Mentoring, Scalability and Occupational Self Efficacy In a Home-Based Technology Integration Program. 2004(1). 2 indexed citations
15.
Jannasch‐Pennell, Angel, et al.. (1999). Impact of Instructional Grouping on Navigation and Student Learning in a Web-Based Learning Environment. Dermatologic Therapy. 1999(1). e14254–e14254. 4 indexed citations
16.
DiGangi, Samuel, et al.. (1999). Designing On-Line Instruction Using Multidisciplinary Approaches.. 1999(1). 1 indexed citations
17.
Burstein, Karen, et al.. (1997). Computer-Mediated Instruction for Increasing Regular Education Students' Acceptance of Students with Mental Retardation.. Education and training in mental retardation and developmental disabilities. 32(4). 313–320. 2 indexed citations
18.
Maag, John W., Robert Reid, & Samuel DiGangi. (1993). DIFFERENTIAL EFFECTS OF SELF‐MONITORING ATTENTION, ACCURACY, AND PRODUCTIVITY. Journal of Applied Behavior Analysis. 26(3). 329–344. 81 indexed citations
19.
DiGangi, Samuel & John W. Maag. (1992). A Component Analysis of Self-Management Training with Behaviorally Disordered Youth. Behavioral Disorders. 17(4). 281–290. 20 indexed citations
20.
Maag, John W., Robert B. Rutherford, & Samuel DiGangi. (1992). Effects of self-monitoring and contingent reinforcement on on-task behavior and academic productivity of learning-disabled students: A social validation study. Psychology in the Schools. 29(2). 157–172. 44 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 Sedat Şen Breakdown of academic impact, for papers by Wayne J. Camara Breakdown of academic impact, for papers by W. Paul Jones Breakdown of academic impact, for papers by Phill Gagné Breakdown of academic impact, for papers by Melinda R. Hess Breakdown of academic impact, for papers by Melissa S. Yale Breakdown of academic impact, for papers by Margaret Wu Breakdown of academic impact, for papers by Petra Lietz Breakdown of academic impact, for papers by R. S. Breakdown of academic impact, for papers by Matthew Boswell
Rankless by CCL
2026