Christopher Town

1.1k citations
25 papers · 512 indexed · h-index 12

Impact in

Papers in

Christopher Town

24 papers receiving 478 citations

Peers

Christopher Town
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 203
  • Ecological Modeling 24
  • Ecology, Evolution, Behavior and Systematics 83
  • Ecology 90
  • Developmental Biology 7
Replace Emanuel Weitschek with:
Emanuel Weitschek Italy
Chayant Tantipathananandh United States
László Czúni Hungary
Stijn Luca Belgium
Fabio Verdicchio Belgium
Fábio A. Faria Brazil
Han Xu China
Marco Seeland Germany
Daniel S. Song United States
Éric Bruno Switzerland
Christopher Town relative to Emanuel Weitschek Italy Emanuel Weitschek's profile →
Citations per field
00.5×5.2×
Emanuel Weitschek · 1×
Citations per year

Countries citing papers authored by Christopher Town

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Town

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Christopher Town, 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 Christopher Town Line = papers co-authored together Christopher Town links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014100
2 200683
3 201966
4 201346
5 200646
6 200323
7 200521
8 201617
9 200617
10 199316
11 201413
12 200211
13 20229
14 20179
15 19947
16 19926
17 19905
18 20234
19 20073
20 20232

About Christopher Town

Christopher Town is a scholar working on Computer Vision and Pattern Recognition, Ecology, Evolution, Behavior and Systematics, Ecological Modeling, Health Information Management and Human-Computer Interaction, having authored 25 papers that have together received 512 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Animal Behavior and Reproduction (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Context-Aware Activity Recognition Systems (3 papers), Plant and animal studies (3 papers), Video Surveillance and Tracking Methods (3 papers), Semantic Web and Ontologies (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (203 citations), Ecological Modeling (24 citations), Ecology, Evolution, Behavior and Systematics (83 citations), Ecology (90 citations) and Developmental Biology (7 citations). Christopher Town has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Yunus Saatçi, Mary Caswell Stoddard, Rebecca M. Kilner, Sarinder Kaur Dhillon, D. Sinclair, Andrea D. Marshall, Nur Aishah Mohd Taib, Mogana Darshini Ganggayah, William A. Garland and Changhai Ding. Their work appears in journals such as Xenobiotica, Drug Metabolism and Disposition, Image and Vision Computing, Proceedings of the Royal Society B Biological Sciences and Nature Communications.

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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