Jacob Steiss
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Writing and Handwriting Education 5
- Educational Assessment and Pedagogy 2
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- Reading and Literacy Development 2
- Innovative Teaching and Learning Methods 2
- Co-authors
- Carol Booth Olson (4 shared papers)Youngsun Moon (2 shared papers)Tamara Tate (2 shared papers)Waverly Tseng (2 shared papers)Mark Warschauer (2 shared papers)Michael Hébert (1 shared paper)Steve Graham (1 shared paper)Young‐Suk Grace Kim (3 shared papers)
- Journals
- Written Communication (2 papers)Computers and Education Artificial Intelligence (1 paper)Assessing Writing (1 paper)Journal of Adolescent & Adult Literacy (1 paper)Learning and Instruction (1 paper)
- Partner nations
- United States
In The Last Decade
Jacob Steiss
7 papers receiving 177 citations
Jacob Steiss's Hit Papers
Peers
Comparison fields: 5 of 45
- Health Informatics 44
- Computer Science Applications 52
- Developmental and Educational Psychology 42
- Family Practice 7
- Artificial Intelligence 74
Countries citing papers authored by Jacob Steiss
This map shows the geographic impact of Jacob Steiss'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 Jacob Steiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Steiss more than expected).
Fields of papers citing papers by Jacob Steiss
This network shows the impact of papers produced by Jacob Steiss. 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 Jacob Steiss. The network helps show where Jacob Steiss may publish in the future.
Co-authors
The 12 scholars most cited alongside Jacob Steiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comparing the quality of human and ChatGPT feedback of students’ writing Hit paper breakdown → | 2024 | 153 |
| 2 | 2023 | 8 | |
| 3 | 2021 | 7 | |
| 4 | 2024 | 7 | |
| 5 | 2019 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 0 |
About Jacob Steiss
Jacob Steiss is a scholar working on Education, Developmental and Educational Psychology, Sociology and Political Science, Literature and Literary Theory and Artificial Intelligence, having authored 8 papers that have together received 185 indexed citations. Recurring topics across this work include Writing and Handwriting Education (5 papers), Discourse Analysis in Language Studies (2 papers), Reading and Literacy Development (2 papers), Innovative Teaching and Learning Methods (2 papers), Educator Training and Historical Pedagogy (2 papers), Educational Assessment and Pedagogy (2 papers), Literacy, Media, and Education (1 paper) and Critical Race Theory in Education (1 paper). The work is most often cited by research in Health Informatics (44 citations), Computer Science Applications (52 citations), Developmental and Educational Psychology (42 citations), Family Practice (7 citations) and Artificial Intelligence (74 citations). Jacob Steiss has collaborated with scholars based in United States. Frequent co-authors include Carol Booth Olson, Youngsun Moon, Tamara Tate, Waverly Tseng, Mark Warschauer, Michael Hébert, Steve Graham, Young‐Suk Grace Kim, Huy Q. Chung and Steve Graham. Their work appears in journals such as Written Communication, Computers and Education Artificial Intelligence, Assessing Writing, Journal of Adolescent & Adult Literacy and Learning and Instruction.
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.