Jacob Ritchie

1.5k citations
12 papers · 167 · h-index 7

Impact in

Papers in

Jacob Ritchie

11 papers receiving 164 citations

Peers

Jacob Ritchie
Comparison fields: 5 of 77
  • Modeling and Simulation 28
  • Human-Computer Interaction 25
  • Biological Psychiatry 6
  • Computer Vision and Pattern Recognition 37
  • Behavioral Neuroscience 5
Replace Anna Baccaglini‐Frank with:
Anna Baccaglini‐Frank Italy
Nonmanut Pongsakdi Finland
Gabriela Rodríguez-Aflecht Finland
Boglárka Brezovszky Finland
Johnna Bolyard United States
Marios Pittalis Cyprus
Ajay Ramful Australia
Susan Gerofsky Canada
Cameron Williams United Kingdom
Despina A. Stylianou United States
Jacob Ritchie relative to Anna Baccaglini‐Frank Italy Anna Baccaglini‐Frank's profile →
Citations per field
00.5×5.6×
Anna Baccaglini‐Frank · 1×
Citations per year

Countries citing papers authored by Jacob Ritchie

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Ritchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201840
2 202331
3 202130
4 202026
5 201911
6 202111
7 20237
8
VIP-containing neurons in the cerebral cortex: cellular actions and interactions with the noradrenergic system
19866
9 20232
10 20232
11
UPnP AV Architecture, 0.83 v. 1.0
20021
12 20200

About Jacob Ritchie

Jacob Ritchie is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, General Health Professions, Speech and Hearing and Epidemiology, having authored 12 papers that have together received 167 indexed citations. Recurring topics across this work include Food Security and Health in Diverse Populations (2 papers), COVID-19 epidemiological studies (2 papers), Digital Storytelling and Education (2 papers), Data Visualization and Analytics (2 papers), Video Analysis and Summarization (2 papers), Advanced Text Analysis Techniques (1 paper), Obesity and Health Practices (1 paper) and Evolutionary Psychology and Human Behavior (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Human-Computer Interaction (25 citations), Biological Psychiatry (6 citations), Computer Vision and Pattern Recognition (37 citations) and Behavioral Neuroscience (5 citations). Jacob Ritchie has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Leon French, Spiro P. Pantazatos, Fanny Chevalier, Sean Follmer, Benjamin Bach, Zezhong Wang, Daniel Wigdor, Nicole Nova, Marissa L. Childs and Erin A. Mordecai. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, IEEE Transactions on Visualization and Computer Graphics, NeuroImage, Scientific Data and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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