Kelly Rivers

883 total citations
11 papers, 495 citations indexed

About

Kelly Rivers is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kelly Rivers has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Kelly Rivers's work include Online Learning and Analytics (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Teaching and Learning Programming (5 papers). Kelly Rivers is often cited by papers focused on Online Learning and Analytics (7 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Teaching and Learning Programming (5 papers). Kelly Rivers collaborates with scholars based in United States, Australia and United Kingdom. Kelly Rivers's co-authors include Kenneth R. Koedinger, Jaime Spacco, Alireza Ahadi, Arto Vihavainen, Matthew Butler, Stephen H. Edwards, Judy Sheard, Erik Harpstead, Ari Korhonen and Petri Ihantola and has published in prestigious journals such as International Journal of Artificial Intelligence in Education, Educational Data Mining and KTH Publication Database DiVA (KTH Royal Institute of Technology).

In The Last Decade

Kelly Rivers

11 papers receiving 469 citations

Peers

Kelly Rivers

CSA

AI

IS

DEP

SOFTW

Samiha Marwan United States

Essi Isohanni Finland

Tobias Kohn United States

Dalton Guerrero Brazil

Tim Wahls United States

Rodrigo Duran Finland

Christine Prasad New Zealand

Ivan Kalaš Slovakia

Juha Helminen Finland

Tom Naps United States

Samiha Marwan United States

Kelly Rivers

280 ×0.7

CSA

128 ×0.7

AI

84 ×0.6

IS

147 ×1.2

DEP

30 ×0.3

SOFTW

Citations per year, relative to Kelly Rivers Kelly Rivers (= 1×) peers Samiha Marwan

Countries citing papers authored by Kelly Rivers

Since Specialization

Citations

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

Fields of papers citing papers by Kelly Rivers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly Rivers

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

All Works

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11 of 11 papers shown

1.

Olney, Andrew M., Stephen B. Gilbert, & Kelly Rivers. (2021). Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes. International Journal of Artificial Intelligence in Education. 32(1). 1–3. 5 indexed citations

2.

Rivers, Kelly. (2018). Automated Data-Driven Hint Generation for Learning Programming. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 6 indexed citations

3.

Price, Thomas, Neil C. C. Brown, Chris Piech, & Kelly Rivers. (2017). Sharing and Using Programming Log Data (Abstract Only). 729–729. 1 indexed citations

4.

Rivers, Kelly, Erik Harpstead, & Kenneth R. Koedinger. (2016). Learning Curve Analysis for Programming. 143–151. 38 indexed citations

5.

Rivers, Kelly & Kenneth R. Koedinger. (2015). Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor. International Journal of Artificial Intelligence in Education. 27(1). 37–64. 149 indexed citations

6.

Rivers, Kelly. (2015). Designing a Data-Driven Tutor Authoring Tool for CS Educators. 277–278. 1 indexed citations

7.

Ihantola, Petri, Arto Vihavainen, Alireza Ahadi, et al.. (2015). Educational Data Mining and Learning Analytics in Programming. KTH Publication Database DiVA (KTH Royal Institute of Technology). 41–63. 202 indexed citations

8.

Rivers, Kelly & Kenneth R. Koedinger. (2013). Automatic Generation of Programming Feedback; A Data-Driven Approach.. 45 indexed citations

9.

Spacco, Jaime, Davide Fossati, John Stamper, & Kelly Rivers. (2013). Towards improving programming habits to create better computer science course outcomes. 243–248. 32 indexed citations

10.

Hovemeyer, David, Matthew Hertz, Paul Denny, et al.. (2013). CloudCoder. 742–742. 9 indexed citations

11.

Rivers, Kelly, et al.. (2012). Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain. Educational Data Mining. 2012(1). 144–147. 7 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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