Lisa Federer

942 citations
27 papers · 646 · h-index 12

Impact in

Papers in

Lisa Federer

25 papers receiving 595 citations

Peers

Lisa Federer
Comparison fields: 5 of 71
  • Library and Information Sciences 88
  • Information Systems 440
  • Information Systems and Management 94
  • Statistics, Probability and Uncertainty 30
  • Oncology 68
Replace Emmanouel Garoufallou with:
Emmanouel Garoufallou Greece
Lisa Johnston United States
Ayoung Yoon United States
Eva Méndez Spain
Nancy K. Roderer United States
Heather Lea Moulaison United States
Mohammadamin Erfanmanesh Iran
Alireza Isfandyari‐Moghaddam Iran
Jake R. Carlson United States
Joan K. Lippincott United States
Lisa Federer relative to Emmanouel Garoufallou Greece Emmanouel Garoufallou's profile →
Citations per field
00.5×2×2.8×
Emmanouel Garoufallou · 1×
Citations per year

Countries citing papers authored by Lisa Federer

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Federer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018141
2 201483
3 201577
4 201868
5 201653
6 201640
7 201339
8 201218
9 202018
10 201917
11 202016
12 202214
13 201411
14 202110
15 20198
16 20227
17 20186
18 20195
19 20163
20 20203

About Lisa Federer

Lisa Federer is a scholar working on Information Systems, Library and Information Sciences, Information Systems and Management, Statistics and Probability and Pathology and Forensic Medicine, having authored 27 papers that have together received 646 indexed citations. Recurring topics across this work include Research Data Management Practices (18 papers), Library Science and Information (7 papers), Library Science and Information Literacy (6 papers), Academic Publishing and Open Access (3 papers), Information Systems Education and Curriculum Development (2 papers), Interdisciplinary Research and Collaboration (2 papers), Scientific Computing and Data Management (2 papers) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Library and Information Sciences (88 citations), Information Systems (440 citations), Information Systems and Management (94 citations), Statistics, Probability and Uncertainty (30 citations) and Oncology (68 citations). Lisa Federer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Douglas Joubert, Ya‐Ling Lu, Alicia A. Livinski, Chris Belter, Holly Thompson, Brennan Mason Ross Spiegel, Martijn G.H. van Oijen, Folasade P. May, Judith A. Welsh and Kevin Read. Their work appears in journals such as Journal of the Medical Library Association JMLA, PLoS ONE, Gates Open Research, Journal of Scleroderma and Related Disorders and BMJ Global Health.

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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