Michael Lachney
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Gender Studies top 5%
- Gender and Technology in Education
Papers in
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- Teaching and Learning Programming 18
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- Gender and Technology in Education 9
- Co-authors
- Ron EglashWilliam BabbittAudrey BennettAman YadavJames DavisMartin ReinhardtRafi SantoJean J. Ryoo
- Journals
- Computer Science Education (4 papers)ACM Transactions on Computing Education (3 papers)TechTrends (3 papers)Communications of the ACM (2 papers)Learning Media and Technology (2 papers)
- Partner nations
- United StatesBrazilZambia
In The Last Decade
Michael Lachney
43 papers receiving 471 citations
Peers
Comparison fields: 5 of 66
- Computer Science Applications 215
- Gender Studies 96
- Human-Computer Interaction 49
- Safety Research 69
- Education 217
Countries citing papers authored by Michael Lachney
This map shows the geographic impact of Michael Lachney'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 Michael Lachney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lachney more than expected).
Fields of papers citing papers by Michael Lachney
This network shows the impact of papers produced by Michael Lachney. 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 Michael Lachney. The network helps show where Michael Lachney may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Michael Lachney, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 28 | |
| 14 | Crowdfunding Education with DonorsChoose.org: All Things Equal? | 2019 | 1 |
| 15 | Automation for the Artisanal Economy: Enhancing the Economic and Environmental Sustainability of Crafting Professions with Human-Machine Collaboration | 2019 | 1 |
| 16 | 2019 | 8 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 4 | |
| 19 | 2016 | 34 | |
| 20 | 2015 | 15 |
About Michael Lachney
Michael Lachney is a scholar working on Computer Science Applications, Gender Studies, Developmental and Educational Psychology, Education and Architecture, having authored 48 papers that have together received 491 indexed citations. Recurring topics across this work include Teaching and Learning Programming (18 papers), Child Development and Digital Technology (9 papers), Gender and Technology in Education (9 papers), Innovative Teaching and Learning Methods (6 papers), ICT in Developing Communities (5 papers), Online and Blended Learning (3 papers), Career Development and Diversity (3 papers) and Educator Training and Historical Pedagogy (3 papers). The work is most often cited by research in Computer Science Applications (215 citations), Gender Studies (96 citations), Human-Computer Interaction (49 citations), Safety Research (69 citations) and Education (217 citations). Michael Lachney has collaborated with scholars based in United States, Brazil and Zambia. Frequent co-authors include Ron Eglash, William Babbitt, Audrey Bennett, Aman Yadav, James Davis, Martin Reinhardt, Rafi Santo, Jean J. Ryoo, Dean Nieusma and David Banks. Their work appears in journals such as Computer Science Education, ACM Transactions on Computing Education, TechTrends, Communications of the ACM and Learning Media and Technology.
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.