H. Todd Wareham

663 citations
17 papers · 262 · h-index 8

Impact in

Papers in

    • Algorithms and Data Compression 6
    • Genomics and Phylogenetic Studies 5
    • DNA and Biological Computing 3
    • Advanced biosensing and bioanalysis techniques 2
    • RNA and protein synthesis mechanisms 2

H. Todd Wareham

17 papers receiving 225 citations

Peers

H. Todd Wareham
Comparison fields: 5 of 45
  • Computational Theory and Mathematics 106
  • Artificial Intelligence 151
  • Computer Networks and Communications 40
  • Molecular Biology 109
  • Computer Graphics and Computer-Aided Design 5
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Citations per year

Countries citing papers authored by H. Todd Wareham

Since Specialization
Citations

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

Fields of papers citing papers by H. Todd Wareham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Todd Wareham. 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 H. Todd Wareham. The network helps show where H. Todd Wareham may publish in the future.

Co-authors

The 16 scholars most cited alongside H. Todd Wareham, 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 H. Todd Wareham Line = papers co-authored together H. Todd Wareham links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 199562
2 200344
3 199543
4
Identifying Sources of Intractability in Cognitive Models: An Illustration Using Analogical Structure Mapping
200827
5 200022
6 199517
7
Similarity as tractable transformation
20099
8 20028
9 20096
10 19945
11
The computational costs of recipient design and intention recognition in communication
20114
12 20024
13 20023
14
On the complexity of #nding common approximate substrings
20033
15 20003
16 19961
17 19991

About H. Todd Wareham

H. Todd Wareham is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications and Genetics, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include Algorithms and Data Compression (6 papers), Genomics and Phylogenetic Studies (5 papers), DNA and Biological Computing (3 papers), Computability, Logic, AI Algorithms (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genetic diversity and population structure (2 papers), RNA and protein synthesis mechanisms (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Artificial Intelligence (151 citations), Computer Networks and Communications (40 citations), Molecular Biology (109 citations) and Computer Graphics and Computer-Aided Design (5 citations). H. Todd Wareham has collaborated with scholars based in Canada, Netherlands and Italy. Frequent co-authors include Hans L. Bodlaender, Michael R. Fellows, Patricia Evans, Rodney G. Downey, Michael Hallett, Andrew D. Smith, Moritz Müller, Marco Cesati, Tandy Warnow and Gianluca Della Vedova. Their work appears in journals such as Theoretical Computer Science, Language, Bioinformatics, Journal of Computational Biology and Cognitive Science.

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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