Michael Williams

848 citations
23 papers · 445 · h-index 9

Impact in

Papers in

Michael Williams

21 papers receiving 389 citations

Peers

Michael Williams
Comparison fields: 5 of 71
  • Computer Networks and Communications 218
  • Hardware and Architecture 56
  • Obstetrics and Gynecology 45
  • Pathology and Forensic Medicine 62
  • Reproductive Medicine 21
Replace Tushar Kumar with:
Tushar Kumar India
Adam R. Sweeney United States
Marco Tesei Italy
Mathias Kaspar Germany
Longhua Feng China
Maxime Côté Canada
Patrik Lantz United States
Siegfried A. Schwab Germany
Eleni Theodoropoulou Greece
Mona Malekzadeh Iran
Michael Williams relative to Tushar Kumar India Tushar Kumar's profile →
Citations per field
00.5×10.4×
Tushar Kumar · 1×
Citations per year

Countries citing papers authored by Michael Williams

Since Specialization
Citations

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

Fields of papers citing papers by Michael Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991210
2 198956
3 200631
4 198830
5 198924
6 199019
7 199112
8 198810
9 20229
10 19888
11 19888
12 20127
13 19896
14 20244
15 19894
16
Measurements of long-range near-side angular correlations in √sNN = 5 TeV proton-lead collisions in the forward region
20162
17 20231
18 19881
19 19831
20 20181

About Michael Williams

Michael Williams is a scholar working on Surgery, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 445 indexed citations. Recurring topics across this work include Lichen and fungal ecology (2 papers), Medical Imaging Techniques and Applications (2 papers), Cervical Cancer and HPV Research (2 papers), Distributed systems and fault tolerance (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Microbial Community Ecology and Physiology (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (218 citations), Hardware and Architecture (56 citations), Obstetrics and Gynecology (45 citations), Pathology and Forensic Medicine (62 citations) and Reproductive Medicine (21 citations). Michael Williams has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Liuba Shrira, Barbara Liskov, Sanjay Ghemawat, Robert Gruber, P. V. Johnson, Janet E. Husband, Graham R. Cherryman, Christine Heron, J F Olliff and H.J. Dobbs. Their work appears in journals such as British Journal of Radiology, Journal of Computer Assisted Tomography, Clinical Radiology, Journal of Emergency Medicine and Journal of Biomolecular Techniques JBT.

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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