Chris Partridge

1.3k total citations
37 papers, 638 citations indexed

About

Chris Partridge is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Chris Partridge has authored 37 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Information Systems and 8 papers in Management Information Systems. Recurrent topics in Chris Partridge's work include Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (8 papers) and Business Process Modeling and Analysis (7 papers). Chris Partridge is often cited by papers focused on Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (8 papers) and Business Process Modeling and Analysis (7 papers). Chris Partridge collaborates with scholars based in United States, United Kingdom and Spain. Chris Partridge's co-authors include Norman H. Giles, Mary E. Case, S. I. Ahmed, Charles Yanofsky, David M. Bonner, Norma J. Nelson, F.H. Ruddle, V.A. McKusick, Sergio de Cesare and Dow O. Woodward and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chris Partridge

35 papers receiving 532 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Partridge United States 13 322 104 98 95 66 37 638
Hongli Yan China 15 331 1.0× 51 0.5× 19 0.2× 82 0.9× 33 0.5× 33 699
Anand Gavai Netherlands 13 245 0.8× 63 0.6× 40 0.4× 153 1.6× 91 1.4× 22 881
Michael Travers United States 8 536 1.7× 36 0.3× 44 0.4× 62 0.7× 25 0.4× 11 815
Paolo Romano Italy 16 398 1.2× 60 0.6× 35 0.4× 36 0.4× 45 0.7× 65 796
Ralf Hofestädt Germany 14 536 1.7× 82 0.8× 47 0.5× 32 0.3× 43 0.7× 98 799
Daniela Giovanna Calò Italy 17 273 0.8× 78 0.8× 373 3.8× 63 0.7× 26 0.4× 36 868
Benjamin M. Gyori United States 13 592 1.8× 66 0.6× 40 0.4× 55 0.6× 21 0.3× 27 907
Alessandro Fiori Italy 16 355 1.1× 246 2.4× 16 0.2× 75 0.8× 82 1.2× 53 965
Jeong Ho Chang South Korea 22 1.0k 3.2× 51 0.5× 76 0.8× 127 1.3× 83 1.3× 68 1.5k
Chris Powell United Kingdom 17 733 2.3× 28 0.3× 45 0.5× 236 2.5× 36 0.5× 46 1.3k

Countries citing papers authored by Chris Partridge

Since Specialization
Citations

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

Fields of papers citing papers by Chris Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Partridge

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Partridge. A scholar is included among the top collaborators of Chris Partridge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Partridge. Chris Partridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Partridge, Chris, Andrew Mitchell, & Pierre Grenon. (2021). A Framework for Composition: A Step Towards a Foundation for Assembly. Apollo (University of Cambridge). 2 indexed citations
2.
3.
Partridge, Chris, et al.. (2020). A Survey of Top-Level Ontologies - to inform the ontological choices for a Foundation Data Model. Apollo (University of Cambridge). 22 indexed citations
4.
Partridge, Chris, et al.. (2020). Implicit requirements for ontological multi-level types in the UNICLASS classification. 1–8. 1 indexed citations
5.
Partridge, Chris, et al.. (2019). Coordinate Systems: Level Ascending Ontological Options. WestminsterResearch (University of Westminster). 78–87. 1 indexed citations
6.
Partridge, Chris, et al.. (2018). Ontology then Agentology: A Finer Grained Framework for Enterprise Modelling. Ghent University Academic Bibliography (Ghent University). 454–463.
7.
Partridge, Chris, et al.. (2017). Developing an Ontological Sandbox: Investigating Multi-level Modelling's Possible Metaphysical Structures.. Ghent University Academic Bibliography (Ghent University). 2019. 226–234. 2 indexed citations
8.
Cesare, Sergio de, Frederik Gailly, Giancarlo Guizzardi, et al.. (2016). 4th international workshop on ontologies and conceptual modeling (Onto.Com). Ghent University Academic Bibliography (Ghent University). 1660. 2 indexed citations
9.
Partridge, Chris, Sergio de Cesare, Andrew Mitchell, & James Odell. (2016). Formalization of the classification pattern: survey of classification modeling in information systems engineering. Software & Systems Modeling. 17(1). 167–203. 9 indexed citations
10.
Guizzardi, Giancarlo, Óscar Pastor, Yair Wand, et al.. (2014). Proceedings of the 1st Joint Workshop ONTO.COM / ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering (ONTO-COM-ODISE 2014). Ghent University Academic Bibliography (Ghent University). 2 indexed citations
11.
Cesare, Sergio de, et al.. (2009). Ontology-driven software engineering. 723–724. 9 indexed citations
12.
Partridge, Chris. (1996). Business Objects: Re-engineering for Re-use. Medical Entomology and Zoology. 31 indexed citations
13.
Miller, Robert, Chris Partridge, K.K. Kidd, & F.H. Ruddle. (1984). The Yale Human Gene Mapping Library. Cytogenetic and Genome Research. 37(1-4). 394–397. 2 indexed citations
14.
Borgaonkar, Digamber S., et al.. (1975). Chromosomal variation in man: catalog of chromosomal variants and anomalies. Cytogenetic and Genome Research. 14(3-6). 252–254. 23 indexed citations
15.
Partridge, Chris, Mary E. Case, & Norman H. Giles. (1972). DIRECT INDUCTION IN WILD-TYPE NEUROSPORA CRASSA OF MUTANTS (qa-1C) CONSTITUTIVE FOR THE CATABOLISM OF QUINATE AND SHIKIMATE. Genetics. 72(3). 411–417. 10 indexed citations
16.
Giles, Norman H., Chris Partridge, & Norma J. Nelson. (1957). THE GENETIC CONTROL OF ADENYLOSUCCINASE IN Neurospora Crassa. Proceedings of the National Academy of Sciences. 43(4). 305–317. 66 indexed citations
17.
Partridge, Chris & Norman H. Giles. (1957). Identification of major accumulation products of adenine-specific mutants of Neurospora. Archives of Biochemistry and Biophysics. 67(1). 237–238. 9 indexed citations
18.
Partridge, Chris & Norman H. Giles. (1953). Comparative Biochemical Studies of Allelic Inositolles Mutants in Neurospora crassa. American Journal of Botany. 40(10). 778–778. 3 indexed citations
19.
Partridge, Chris, David M. Bonner, & Charles Yanofsky. (1952). A QUANTITATIVE STUDY OF THE RELATIONSHIP BETWEEN TRYPTOPHAN AND NIACIN IN NEUROSPORA. Journal of Biological Chemistry. 194(1). 269–278. 52 indexed citations
20.
Bonner, David M., Charles Yanofsky, & Chris Partridge. (1952). Incomplete Genetic Blocks in Biochemical Mutants of Neurospora. Proceedings of the National Academy of Sciences. 38(1). 25–34. 20 indexed citations

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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