Christopher Irving

961 citations
8 papers · 833 · 1 hit paper · h-index 5

Impact in

Papers in

Christopher Irving

8 papers receiving 820 citations

Christopher Irving's Hit Papers

Appion: An integrated, database-driven pipeline to facilitate EM image processing 2009 · 728 citations
7280+5+11Years since publication200400600

Peers

Christopher Irving
Comparison fields: 5 of 49
  • Structural Biology 225
  • Virology 101
  • Infectious Diseases 71
  • Molecular Biology 227
  • Cell Biology 47
Replace Anke M. Mulder with:
Anke M. Mulder United States
Stephen D. Carter United States
Junhua Pan China
Rubén Sánchez-García Spain
Beata Turoňová Germany
Clinton S. Potter United States
Marcel Arheit Switzerland
Daven Vasishtan United Kingdom
Tanay M. Desai United States
Adam E. Bennett United States
Christopher Irving relative to Anke M. Mulder United States Anke M. Mulder's profile →
Citations per field
00.5×1.5×
Anke M. Mulder · 1×
Citations per year

Countries citing papers authored by Christopher Irving

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Irving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Appion: An integrated, database-driven pipeline to facilitate EM image processing
Hit paper breakdown →
2009728
2 200944
3 202123
4 201022
5 20176
6 20134
7 20224
8 20232

About Christopher Irving

Christopher Irving is a scholar working on Structural Biology, Computer Networks and Communications, Hardware and Architecture, Information Systems and Management and Information Systems, having authored 8 papers that have together received 833 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (3 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Computing and Resource Management (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Structural Biology (225 citations), Virology (101 citations), Infectious Diseases (71 citations), Molecular Biology (227 citations) and Cell Biology (47 citations). Christopher Irving has collaborated with scholars based in United States. Frequent co-authors include Anchi Cheng, Pick‐Wei Lau, Dmitry Lyumkis, Anke M. Mulder, Neil R. Voss, Gabriel C. Lander, Denis Fellmann, Bridget O Carragher, Clinton S. Potter and James Pulokas. Their work appears in journals such as Journal of Structural Biology, Methods in enzymology on CD-ROM/Methods in enzymology, IEEE International Conference on eScience and Practice and Experience in Advanced Research Computing.

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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