Eric A. Williams

38 papers receiving 717 citations

Peers

Eric A. Williams
Comparison fields: 5 of 96
  • Emergency Medicine 111
  • Critical Care and Intensive Care Medicine 50
  • Nephrology 61
  • Epidemiology 247
  • Computer Science Applications 26
Replace Daniela Pacella with:
Daniela Pacella Italy
Mike Davis United States
Isabelle Vinatier France
Maria Rasmussen Denmark
Peter Weyrich Germany
Siew‐Pang Chan Singapore
Karen E. Lynch United States
Michael Haney Sweden
Joseph Oren United States
David K. Brooks United Kingdom
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Citations per field
00.5×10×15.8×
Daniela Pacella · 1×
Citations per year

Countries citing papers authored by Eric A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Williams. 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 Eric A. Williams. The network helps show where Eric A. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011164
2 201291
3 201557
4 201746
5 201243
6 199340
7 201937
8 200436
9 201929
10 199123
11 201219
12 201416
13 201216
14 201113
15 201510
16 202110
17 200110
18 20189
19 20168
20 20078

About Eric A. Williams

Eric A. Williams is a scholar working on Epidemiology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology, having authored 39 papers that have together received 744 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (5 papers), Patient Safety and Medication Errors (3 papers), Online and Blended Learning (2 papers), Management of metastatic bone disease (2 papers), Innovative Teaching and Learning Methods (2 papers), Cardiac Arrest and Resuscitation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Emergency Medicine (111 citations), Critical Care and Intensive Care Medicine (50 citations), Nephrology (61 citations), Epidemiology (247 citations) and Computer Science Applications (26 citations). Eric A. Williams has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Binita Patel, Andrea T. Cruz, Jeanine M. Graf, Andrew M. Perry, Justyna P. Zwolak, Eric Brewe, Remy Dou, Ayse Akcan‐Arikan, Janet Roscoe and David L.S. Morales. Their work appears in journals such as Critical Care Medicine, Physical Review Physics Education Research, Pediatric Critical Care Medicine, Kidney International and Pediatric Emergency Care.

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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