Amelia Acker

856 citations
57 papers · 518 indexed · h-index 13

Amelia Acker

53 papers receiving 483 citations

Peers

Amelia Acker
Comparison fields: 5 of 90
  • Conservation 48
  • Information Systems and Management 82
  • Communication 80
  • Human-Computer Interaction 49
  • Computer Science Applications 41
Replace Jens‐Erik Mai with:
Jens‐Erik Mai Denmark
Ali Shiri Canada
Cory Knobel United States
David M. Berry United Kingdom
Jason Schultz United States
Luke Tredinnick United Kingdom
Jan Nolin Sweden
Peter Mechant Belgium
Steve Probets United Kingdom
Viktor Mayer‐Schönberger United States
Amelia Acker relative to Jens‐Erik Mai Denmark Jens‐Erik Mai's profile →
Citations per field
00.5×3.9×
Jens‐Erik Mai · 1×
Citations per year

Countries citing papers authored by Amelia Acker

Since Specialization
Citations

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

Fields of papers citing papers by Amelia Acker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amelia Acker, 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 Amelia Acker Line = papers co-authored together Amelia Acker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20240
4 202311
5 20231
6 20216
7 20214
8 20212
9 20205
10 20202
11 20195
12 201944
13 201815
14 201812
15 20172
16 20172
17 201717
18 20159
19
Death, Memorialization, and Social Media: A Platform Perspective for Personal Archives
201427
20
Participatory Sensing for Community Data Campaigns: A case study
20104

About Amelia Acker

Amelia Acker is a scholar working on Conservation, Information Systems and Management, Computer Science Applications, Human-Computer Interaction and Information Systems, having authored 57 papers that have together received 518 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (13 papers), Research Data Management Practices (10 papers), Misinformation and Its Impacts (6 papers), Social Media and Politics (5 papers), Ethics and Social Impacts of AI (5 papers), Privacy, Security, and Data Protection (5 papers), ICT in Developing Communities (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Conservation (48 citations), Information Systems and Management (82 citations), Communication (80 citations), Human-Computer Interaction (49 citations) and Computer Science Applications (41 citations). Amelia Acker has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Dhiraj Murthy, Leanne Bowler, Andrew Iliadis, Wei Jeng, Joan Donovan, Jed R. Brubaker, Adam Kriesberg, Matthew S. Mayernik, William Lehr and Martin B. H. Weiss. Their work appears in journals such as Journal of the Association for Information Science and Technology, Information Communication & Society, Proceedings of the American Society for Information Science and Technology, Telematics and Informatics and Big Data & Society.

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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