M. Williams

128.3k citations
182 papers · 3.0k · h-index 30

Impact in

Papers in

M. Williams

168 papers receiving 2.8k citations

Peers

M. Williams
Comparison fields: 5 of 181
  • Pollution 317
  • Nuclear and High Energy Physics 307
  • Animal Science and Zoology 233
  • Process Chemistry and Technology 48
  • Hematology 141
Replace Masahiko Nakamura with:
Masahiko Nakamura Japan
Xuan Wang China
David A. Edwards United States
Young Dae Kim South Korea
Bo Bo China
Hiroshi Oda Japan
Shin‐ichi Fujita Japan
Zhiguo Zhao United States
O. P. Sharma India
Christian Schneider Germany
M. Williams relative to Masahiko Nakamura Japan Masahiko Nakamura's profile →
Citations per field
00.5×9.0×
Masahiko Nakamura · 1×
Citations per year

Countries citing papers authored by M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007233
2 2005199
3 1995186
4 1994160
5 1989104
6 198989
7 200982
8 201275
9 198272
10 201060
11 201560
12 201258
13 201057
14 197154
15 199054
16 200550
17 200550
18 199248
19 201646
20 200240

About M. Williams

M. Williams is a scholar working on Surgery, Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Animal Science and Zoology, having authored 182 papers that have together received 3.0k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (17 papers), Particle physics theoretical and experimental studies (16 papers), Animal Nutrition and Physiology (14 papers), Livestock and Poultry Management (9 papers), Radiation Detection and Scintillator Technologies (7 papers), Testicular diseases and treatments (7 papers), Sarcoma Diagnosis and Treatment (6 papers) and Fire dynamics and safety research (6 papers). The work is most often cited by research in Pollution (317 citations), Nuclear and High Energy Physics (307 citations), Animal Science and Zoology (233 citations), Process Chemistry and Technology (48 citations) and Hematology (141 citations). M. Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Luis A. Diaz, Halina L. Wisniewski, Joseph P. Salanitro, Janet E. Husband, Pradit Fuangfoo, J. Liao, Chow Chompoo‐inwai, Christine Heron, J F Olliff and G.R. Cherryman. Their work appears in journals such as Clinical Radiology, The Journal of Applied Poultry Research, Journal of Instrumentation, Clinical Oncology and British Journal of Radiology.

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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