Heather Piwowar

5.5k total citations · 2 hit papers
35 papers, 1.9k citations indexed

About

Heather Piwowar is a scholar working on Information Systems, Information Systems and Management and Molecular Biology. According to data from OpenAlex, Heather Piwowar has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 16 papers in Information Systems and Management and 9 papers in Molecular Biology. Recurrent topics in Heather Piwowar's work include Research Data Management Practices (21 papers), Scientific Computing and Data Management (15 papers) and scientometrics and bibliometrics research (9 papers). Heather Piwowar is often cited by papers focused on Research Data Management Practices (21 papers), Scientific Computing and Data Management (15 papers) and scientometrics and bibliometrics research (9 papers). Heather Piwowar collaborates with scholars based in United States, Canada and Finland. Heather Piwowar's co-authors include Douglas B. Fridsma, Roger Day, Todd Vision, Wendy W. Chapman, Jason Priem, Howard S. Bilofsky, Michael J. Becich, Rebecca S. Crowley, Patrick S. Herendeen and Judy Illes and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Heather Piwowar

33 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sharing Detailed Research Data Is Associated with Increased Citation Rate

2007 547 citations Heather Piwowar, Roger Day et al. PLoS ONE profile →
Data reuse and the open data citation advantage

2013 339 citations Heather Piwowar, Todd Vision profile →

Peers

Heather Piwowar

IS

ISM

SPU

MSOR

MB

Mike Frame United States

Kimberly Douglass United States

Arsev Umur Aydınoğlu Türkiye

Eleanor J. Read United States

Maribeth Manoff United States

Staša Milojević United States

Mikael Laakso Finland

Matthew S. Mayernik United States

Mercè Crosas United States

Isabella Peters Germany

Mike Frame United States

Heather Piwowar

1.0k ×0.9

IS

846 ×0.9

ISM

170 ×0.3

SPU

533 ×1.3

MSOR

78 ×0.5

MB

Citations per year, relative to Heather Piwowar Heather Piwowar (= 1×) peers Mike Frame

Countries citing papers authored by Heather Piwowar

Since Specialization

Citations

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

Fields of papers citing papers by Heather Piwowar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Piwowar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Vision, Todd & Heather Piwowar. (2020). Data reuse and the open data citation advantage. UNC Libraries. 1 indexed citations

2.

Konkiel, Stacy, Heather Piwowar, & Jason Priem. (2014). The Imperative for Open Altmetrics. Journal of Electronic Publishing. 17(3). 5 indexed citations

3.

Piwowar, Heather, et al.. (2013). Riding the crest of the. arXiv (Cornell University). 1 indexed citations

4.

Piwowar, Heather. (2013). Value all research products. Nature. 493(7431). 159–159. 263 indexed citations

5.

Priem, Jason, et al.. (2013). Toward a comprehensive impact report for every software project. Figshare. 1 indexed citations

6.

Vision, Todd & Heather Piwowar. (2013). Data reuse and scholarly reward: understanding practice and building infrastructure.

7.

Piwowar, Heather & Jason Priem. (2013). The power of altmetrics on a CV. Bulletin of the American Society for Information Science and Technology. 39(4). 10–13. 66 indexed citations

8.

Piwowar, Heather. (2013). Introduction altmetrics: What, why and where?. Bulletin of the American Society for Information Science and Technology. 39(4). 8–9. 43 indexed citations

9.

Piwowar, Heather, et al.. (2013). Riding the crest of the altmetrics wave: How librarians can help prepare faculty for the next generation of research impact metrics. College & Research Libraries News. 74(6). 292–300. 27 indexed citations

10.

Piwowar, Heather. (2012). Altmetrics shows that citations can’t stand up to the full 31 flavours of research impact. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 2 indexed citations

11.

Piwowar, Heather. (2012). Big shoulders in scholarly communication: data archiving+altmetrics..

12.

Priem, Jason & Heather Piwowar. (2012). The launch of ImpactStory: using altmetrics to tell data-driven stories. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 6 indexed citations

13.

Piwowar, Heather. (2011). Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data. PLoS ONE. 6(7). e18657–e18657. 148 indexed citations

14.

Whiteley, Louise, et al.. (2011). Neuroethics and fMRI: Mapping a Fledgling Relationship. PLoS ONE. 6(4). e18537–e18537. 15 indexed citations

15.

Holmberg, Kim, et al.. (2011). Shaking it up: Embracing new methods for publishing, finding, discussing, and measuring our research output. Proceedings of the American Society for Information Science and Technology. 48(1). 1–3. 1 indexed citations

16.

Piwowar, Heather & Wendy W. Chapman. (2010). Recall and bias of retrieving gene expression microarray datasets through PubMed identifiers. 5. 7–20. 12 indexed citations

17.

Piwowar, Heather & Wendy W. Chapman. (2009). Public sharing of research datasets: A pilot study of associations. Journal of Informetrics. 4(2). 148–156. 93 indexed citations

18.

Piwowar, Heather & Wendy W. Chapman. (2008). A Review of Journal Policies for Sharing Research Data. Elpub digital library. 1–14. 42 indexed citations

19.

Piwowar, Heather, et al.. (2008). Towards a Data Sharing Culture: Recommendations for Leadership from Academic Health Centers. PLoS Medicine. 5(9). e183–e183. 104 indexed citations

20.

Piwowar, Heather, Roger Day, & Douglas B. Fridsma. (2007). Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE. 2(3). e308–e308. 547 indexed citations breakdown →

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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