| Mapping for whom? Communities of color and the citizen science gap D Mahmoudi, CL Hawn, EH Henry, DJ Perkins, CB Cooper, SM Wilson ACME: An International Journal for Critical Geographies 21 (4), 372-388, 2022 | 29 | 2022 |
| A scientific note on the effect of oxalic acid on honey bee larvae B Terpin, D Perkins, S Richter, JK Leavey, TW Snell, JA Pierson Apidologie 50, 363-368, 2019 | 19 | 2019 |
| Evaluating the use of semi-structured crowdsourced data to quantify inequitable access to urban biodiversity: A case study with eBird AM Grade, NW Chan, P Gajbhiye, DJ Perkins, PS Warren Plos one 17 (11), e0277223, 2022 | 16 | 2022 |
| A framework for contextualizing social‐ecological biases in contributory science data EJ Carlen, CO Estien, T Caspi, D Perkins, BR Goldstein, SES Kreling, ... People and Nature 6 (2), 377-390, 2024 | 13 | 2024 |
| Blind spots in citizen science data: Implications of volunteer biases in eBird data DJ Perkins North Carolina State University, 2020 | 13 | 2020 |
| A Positionality Tool to Support Ethical Research and Inclusion in the Participatory Sciences C Cooper, DL Hunter, JM Archer, H Caballero-Gomez, C Hawn, ... Citizen Science: Theory and Practice 9 (1), 2024 | | 2024 |
| Lack of Diversity and Inclusion in Citizen Science Is a Data Quality Issue D Perkins 2022 Annual Meeting, 2022 | | 2022 |
| Revealing Biases in Crowd-Sourced Data Sets D Perkins PubPub, 2022 | | 2022 |