Tiffani L. Williams

2.9k citations
25 papers · 207 indexed · h-index 7
Topics
Genomics and Phylogenetic Studies (18 papers)Genetic diversity and population structure (10 papers)Evolution and Paleontology Studies (6 papers)
Partner nations
United States

In The Last Decade

Tiffani L. Williams

24 papers receiving 189 citations

Peers

Tiffani L. Williams
Comparison fields: 5 of 54
  • Molecular Biology 136
  • Genetics 92
  • Paleontology 41
  • Computer Networks and Communications 38
  • Information Systems 30
Replace Maria Chatzou with:
Maria Chatzou Spain
Alexander J. Ropelewski United States
Simon Hickinbotham United Kingdom
Sylvain Guillemot France
Juan Miguel Cejuela Germany
Guido Sautter Germany
Jean‐Louis Giavitto France
Edward Gilbert United States
Cheng‐Wei Chen Taiwan
Éva Czabarka United States
Tiffani L. Williams relative to Maria Chatzou Spain Maria Chatzou's profile →
Citations per field
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Maria Chatzou · 1×
Citations per year

Countries citing papers authored by Tiffani L. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Tiffani L. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiffani L. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Tiffani L. Williams. A scholar is included among the top collaborators of Tiffani L. 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 Tiffani L. Williams. Tiffani L. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 1
4 2
5 3
6 1
7 17
8 2
9 35
10 2
11 9
12
Fast Hashing Algorithms to Summarize Large Collections of Evolutionary Trees
1
13 1
14 13
15 1
16 4
17 5
18 63
19 29
20
A general-purpose model for heterogeneous computation
4

About Tiffani L. Williams

Tiffani L. Williams is a scholar working on Paleontology, Genetics and Computer Science Applications, having authored 25 papers that have together received 207 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Genetic diversity and population structure (10 papers) and Evolution and Paleontology Studies (6 papers). The work is most often cited by research in Paleontology (41 citations), Genetics (92 citations) and Information Systems and Management (21 citations). Tiffani L. Williams has collaborated with scholars based in United States. Frequent co-authors include Bernard M. E. Moret, Suzanne J. Matthews, Usman Roshan, Tandy Warnow, Rebecca J. Parsons, Marc L. Smith, Andrew J. Harris, William J. Murphy, Nicole M. Foley and Hyun Jung Park. Their work appears in journals such as Communications of the ACM, Molecular Biology and Evolution and BMC Bioinformatics.

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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