Dan Smith

830 citations
44 papers · 655 · h-index 11

Impact in

Papers in

Dan Smith

37 papers receiving 590 citations

Peers

Dan Smith
Comparison fields: 5 of 125
  • Signal Processing 177
  • Developmental Biology 20
  • Computer Vision and Pattern Recognition 143
  • Ecology 110
  • Artificial Intelligence 142
Replace David A. James with:
David A. James United States
Yannig Goude France
Andrew Hunter Canada
Xiao Xie China
Peng He China
Mark O’Connor Ireland
Pedro Gonçalves Portugal
Mark R. Wade New Zealand
Yao Pan United States
Frank Hardisty United States
Dan Smith relative to David A. James United States David A. James's profile →
Citations per field
00.5×
David A. James · 1×
Citations per year

Countries citing papers authored by Dan Smith

Since Specialization
Citations

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

Fields of papers citing papers by Dan Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003184
2 2006109
3 201448
4 200343
5 200742
6 200337
7 199928
8 200523
9
Conservative stemming for search and indexing
200517
10 200814
11 201412
12 20129
13
An efficient implementation of max tree with linked list and hash table
20038
14 20148
15 19997
16 20006
17 20146
18
Database Systems Engineering
19956
19 20015
20 20074

About Dan Smith

Dan Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 44 papers that have together received 655 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Data Quality and Management (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Database Systems and Queries (4 papers), Image Retrieval and Classification Techniques (4 papers), Natural Language Processing Techniques (3 papers), Music and Audio Processing (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Signal Processing (177 citations), Developmental Biology (20 citations), Computer Vision and Pattern Recognition (143 citations), Ecology (110 citations) and Artificial Intelligence (142 citations). Dan Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ling Ma, Ben Milner, Angela D. Kent, Barbara J. Benson, Eric W. Triplett, Janani Vivekananda, Janpeter Schilling, Richard Harvey, Stephen Cox and Nick Ryan. Their work appears in journals such as Canadian Journal of Forest Research, Soil Research, Journal of Safety Research, Personal and Ubiquitous Computing and Geopolitics.

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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