Daniel Ritchie

554 citations
30 papers · 306 · h-index 8

Impact in

Papers in

Daniel Ritchie

26 papers receiving 292 citations

Peers

Daniel Ritchie
Comparison fields: 5 of 71
  • Computer Graphics and Computer-Aided Design 28
  • Human-Computer Interaction 35
  • Health Informatics 7
  • Computer Vision and Pattern Recognition 73
  • Artificial Intelligence 85
Replace Ilia Adami with:
Ilia Adami Greece
Di Xu China
Sungwoo Lee South Korea
Alessandro Febretti United States
Sabrina Caldwell Australia
Fabrizio Nunnari Germany
Tan Tang China
Eng Tat Khoo Singapore
Frutuoso G. M. Silva Portugal
Isaac Goldberg Mexico
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Citations per year

Countries citing papers authored by Daniel Ritchie

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ritchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022106
2 200949
3 202232
4 202324
5 202316
6 202414
7 200910
8 20229
9 20236
10 20145
11 20134
12 20153
13 20233
14
The Voice of Our Exiles; Or, Stray Leaves from a Convict Ship
20123
15 19923
16 20142
17 20252
18 20142
19 20172
20 19952

About Daniel Ritchie

Daniel Ritchie is a scholar working on Political Science and International Relations, Sociology and Political Science, Computer Vision and Pattern Recognition, History and Computational Mechanics, having authored 30 papers that have together received 306 indexed citations. Recurring topics across this work include American Constitutional Law and Politics (8 papers), Irish and British Studies (6 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers), Historical Studies of British Isles (3 papers), Scottish History and National Identity (3 papers), Religious Tourism and Spaces (2 papers) and Religion, Gender, and Enlightenment (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (28 citations), Human-Computer Interaction (35 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (73 citations) and Artificial Intelligence (85 citations). Daniel Ritchie has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Ying Xu, Tongshuang Wu, Dakuo Wang, Toby Jia-Jun Li, Bingsheng Yao, Zheng Zhang, Yanhao Wang, Mo Yu, Ron Alterovitz and Jonathan Richard Shewchuk. Their work appears in journals such as The Journal of Ecclesiastical History, Irish Historical Studies, Computer Graphics Forum, The Historical Journal and Church History.

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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