Chris Williams

922 total citations
12 papers, 529 citations indexed

About

Chris Williams is a scholar working on Computational Theory and Mathematics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Chris Williams has authored 12 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 3 papers in Computer Networks and Communications. Recurrent topics in Chris Williams's work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (3 papers) and Software-Defined Networks and 5G (2 papers). Chris Williams is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (3 papers) and Software-Defined Networks and 5G (2 papers). Chris Williams collaborates with scholars based in United States, United Kingdom and Switzerland. Chris Williams's co-authors include Paul Labute, Miklós Fehér, Jonathan M. Schmidt, Brett K. Beaulieu‐Jones, Casey S. Greene, Zhiwei Steven Wu, Ran Lee, James Brian Byrd, Sanjeev P. Bhavnani and Hua Gao and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Circulation Cardiovascular Quality and Outcomes.

In The Last Decade

Chris Williams

11 papers receiving 510 citations

Peers

Chris Williams
Comparison fields: 5 of 107
  • Computational Theory and Mathematics 203
  • Molecular Biology 199
  • Artificial Intelligence 152
  • Organic Chemistry 76
  • Pharmacology 50
Replace Tomasz Arodź with:
Tomasz Arodź United States
Wenxuan Wang China
Robert Burbidge United Kingdom
Andreas Maunz Switzerland
Víctor Maojo Spain
Tianfan Fu United States
Patrícia R. Oliveira Brazil
Nils Weskamp Germany
Zhaoxian Zhou United States
Tomasz Arodź United States View profile →
Citations per field, relative to Chris Williams
Chris Williams · 1×
Citations per year, relative to Chris Williams
Chris Williams · 1×

Countries citing papers authored by Chris Williams

Since Specialization
Citations

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

Fields of papers citing papers by Chris Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Williams. A scholar is included among the top collaborators of Chris Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Williams. Chris Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 16
2 192
3 5
4 4
5 4
6 3
7 3
8 27
9 40
10 162
11 72
12
HIGH-RESOLUTION SEISMIC EXPLORATION FOR GOLD
1

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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