Jacob Steiss

496 citations
8 papers · 251 · 1 hit paper · h-index 5

Impact in

Papers in

Jacob Steiss

7 papers receiving 244 citations

Jacob Steiss's Hit Papers

Comparing the quality of human and ChatGPT feedback of students’ writing 2024 · 211 citations
2110+1Years since publication50100150200

Peers

Jacob Steiss
Comparison fields: 5 of 50
  • Health Informatics 52
  • Computer Science Applications 61
  • Family Practice 6
  • Developmental and Educational Psychology 44
  • Artificial Intelligence 89
Replace Jiali Wang with:
Jiali Wang United States
Youngsun Moon United States
Inda Indrawati Indonesia
Darwin Darwin Indonesia
Agung Rinaldy Malik Indonesia
Diyenti Rusdin Indonesia
Tongguang Li Australia
Yun Lin China
John Maurice Gayed Japan
Yanfang Su Hong Kong
Jacob Steiss relative to Jiali Wang United States Jiali Wang's profile →
Citations per field
00.5×1.5×
Jiali Wang · 1×
Citations per year

Countries citing papers authored by Jacob Steiss

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 13 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.

Border = papers with Jacob Steiss Line = papers co-authored together Jacob Steiss links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Comparing the quality of human and ChatGPT feedback of students’ writing
Hit paper breakdown →
2024211
2 202414
3 20239
4 20217
5 20195
6 20243
7 20242
8 20250

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 251 indexed citations. Recurring topics across this work include Writing and Handwriting Education (5 papers), Educator Training and Historical Pedagogy (2 papers), Discourse Analysis in Language Studies (2 papers), Educational Assessment and Pedagogy (2 papers), Reading and Literacy Development (2 papers), Innovative Teaching and Learning Methods (2 papers), Critical Race Theory in Education (1 paper) and Literacy, Media, and Education (1 paper). The work is most often cited by research in Health Informatics (52 citations), Computer Science Applications (61 citations), Family Practice (6 citations), Developmental and Educational Psychology (44 citations) and Artificial Intelligence (89 citations). Jacob Steiss has collaborated with scholars based in United States. Frequent co-authors include Carol Booth Olson, Mark Warschauer, Jiali Wang, Waverly Tseng, Youngsun Moon, Tamara Tate, Michael Hébert, Steve Graham, Young‐Suk Grace Kim and Steve Graham. Their work appears in journals such as Written Communication, Computers and Education Artificial Intelligence, Reading and Writing, Assessing Writing 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.

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