Alexandra E. Albert

16 papers receiving 301 citations

Peers

Alexandra E. Albert
Comparison fields: 5 of 82
  • Ecological Modeling 28
  • Geography, Planning and Development 59
  • Computer Science Applications 33
  • Transportation 30
  • General Social Sciences 13
Replace Marina Manzoni with:
Marina Manzoni Austria
Na'Taki Osborne Jelks United States
Omega R. Wilson United States
Valentine Seymour United Kingdom
Julia Lorke Germany
Teresa Schaefer Germany
Marzia Mazzonetto France
Beth Savan Canada
Emily Harris United States
Μαρία Δασκολιά Greece
Alexandra E. Albert relative to Marina Manzoni Austria Marina Manzoni's profile →
Citations per field
00.5×2×4×6×7.5×
Marina Manzoni · 1×
Citations per year

Countries citing papers authored by Alexandra E. Albert

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra E. Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra E. Albert. 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 Alexandra E. Albert. The network helps show where Alexandra E. Albert may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202354
2 201845
3 201838
4 202138
5 202132
6 202324
7 201723
8 202116
9 202116
10 202210
11 20219
12 20236
13 20235
14 20244
15 20223
16
“Never Mind the Quality, Feel the Width”: Big Data for Quality and Performance Evaluation in the Arts and Cultural Sector and the Case of “Culture Metrics”
20181
17 20241

About Alexandra E. Albert

Alexandra E. Albert is a scholar working on Geography, Planning and Development, Computer Science Applications, Information Systems, General Social Sciences and Urban Studies, having authored 17 papers that have together received 325 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (7 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Research Data Management Practices (3 papers), Social Science and Policy Research (2 papers), Evaluation and Performance Assessment (2 papers), Participatory Visual Research Methods (2 papers), Feminist Epistemology and Gender Studies (1 paper) and Mobile and Web Applications (1 paper). The work is most often cited by research in Ecological Modeling (28 citations), Geography, Planning and Development (59 citations), Computer Science Applications (33 citations), Transportation (30 citations) and General Social Sciences (13 citations). Alexandra E. Albert has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Muki Haklay, Shahid Islam, Rosemary McEachan, Josep Perelló, Christopher C. M. Kyba, Jaume Piera, Katja Mayer, Bernat Claramunt López, Luigi Ceccaroni and Margaret M. Gold. Their work appears in journals such as International Journal of Environmental Research and Public Health, Citizen Science Theory and Practice, Humanities and Social Sciences Communications, Frontiers in Ecology and Evolution and Health Expectations.

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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