Lisa Federer

26 papers receiving 575 citations

Peers

Lisa Federer
Comparison fields: 5 of 97
  • Information Systems and Management 200
  • Library and Information Sciences 23
  • Management Science and Operations Research 178
  • Information Systems 315
  • Statistics, Probability and Uncertainty 54
Replace Ayoung Yoon with:
Ayoung Yoon United States
Lynn Baird United States
Danielle Pollock United States
Jake Carlson United States
Lisa Christian United States
Kevin Read Canada
Elizabeth D. Dalton United States
Kathleen Shearer Canada
Minglu Wang China
Eva Méndez Spain
Lisa Federer relative to Ayoung Yoon United States Ayoung Yoon's profile →
Citations per field
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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 2018131
2 201481
3 201575
4 201866
5 201652
6 201342
7 201641
8
One-drug versus two-drug antibiotic therapy in pediatric perforated appendicitis: a prospective randomized study.
199124
9 201218
10 202015
11 202212
12 202011
13 201411
14 202110
15 20227
16 20197
17 20186
18 20134
19 20163
20 20203

About Lisa Federer

Lisa Federer is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Molecular Biology and General Health Professions, having authored 27 papers that have together received 627 indexed citations. Recurring topics across this work include Research Data Management Practices (13 papers), Scientific Computing and Data Management (10 papers), Data Quality and Management (10 papers), Health Sciences Research and Education (3 papers), Big Data and Business Intelligence (3 papers), Biomedical Text Mining and Ontologies (2 papers), Ethics in Clinical Research (2 papers) and Digital and Traditional Archives Management (2 papers). The work is most often cited by research in Information Systems and Management (200 citations), Library and Information Sciences (23 citations), Management Science and Operations Research (178 citations), Information Systems (315 citations) and Statistics, Probability and Uncertainty (54 citations). Lisa Federer has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Douglas Joubert, Ya‐Ling Lu, Holly Thompson, Chris Belter, Alicia A. Livinski, Folasade P. May, Brennan Spiegel, Martijn G.H. van Oijen, Judith A. Welsh and Hernan M. Reyes. Their work appears in journals such as Journal of the Medical Library Association JMLA, PLoS ONE, Gastroenterology, Preventive Medicine and Journal of Scleroderma and Related Disorders.

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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