Daniel O’Connor

17.7k citations
111 papers · 5.0k indexed · h-index 35

Daniel O’Connor

108 papers receiving 4.7k citations

Peers

Daniel O’Connor
Comparison fields: 5 of 185
  • Surgery 3.4k
  • Nephrology 183
  • Oral Surgery 117
  • Library and Information Sciences 22
  • Epidemiology 452
Replace Jeffrey M. Davidson with:
Jeffrey M. Davidson United States
Lori A. Setton United States
Sean V. Murphy United States
Richard M. Day United Kingdom
Theodore R. Oegema United States
Peter M. Vogt Germany
Phil G. Campbell United States
Yan Liu China
Michael J. Raschke Germany
Jin Kim South Korea
Daniel O’Connor relative to Jeffrey M. Davidson United States Jeffrey M. Davidson's profile →
Citations per field
00.5×1.5×
Jeffrey M. Davidson · 1×
Citations per year

Countries citing papers authored by Daniel O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel O’Connor. 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 Daniel O’Connor. The network helps show where Daniel O’Connor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202420
3 20245
4 20243
5 20234
6 202319
7 202274
8 20221
9 202110
10 20216
11 20197
12 20163
13 201314
14 201313
15
Research Methods for Students, Academics and Professionals; Information Management and Systems, 2nd ed
200516
16 200392
17 1999352
18 19915
19
Evaluating Public Libraries Using Standard Scores: The Library Quotient.
19821
20
Empirical Laws, Theory Construction and Bibliometrics.
198137

About Daniel O’Connor

Daniel O’Connor is a scholar working on Library and Information Sciences, Microbiology, Surgery, Epidemiology and Oral Surgery, having authored 111 papers that have together received 5.0k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (38 papers), Total Knee Arthroplasty Outcomes (25 papers), Orthopedic Infections and Treatments (19 papers), Influenza Virus Research Studies (13 papers), Bacterial Infections and Vaccines (10 papers), Pneumonia and Respiratory Infections (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Dental Implant Techniques and Outcomes (5 papers). The work is most often cited by research in Surgery (3.4k citations), Nephrology (183 citations), Oral Surgery (117 citations), Library and Information Sciences (22 citations) and Epidemiology (452 citations). Daniel O’Connor has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Murali Jasty, William H. Harris, C.R. Bragdon, Orhun K. Muratoglu, Charles R. Bragdon, Jay D. Lowenstein, Andrew J. Pollard, William H. Harris, Dennis W. Burke and Dennis K. Burke. Their work appears in journals such as The Journal of Arthroplasty, Clinical Orthopaedics and Related Research, Vaccine, Nature Communications and Journal of Orthopaedic Research®.

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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