Craig Chapman

976 total citations
40 papers, 621 citations indexed

About

Craig Chapman is a scholar working on Artificial Intelligence, Management Information Systems and Mechanical Engineering. According to data from OpenAlex, Craig Chapman has authored 40 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Management Information Systems and 8 papers in Mechanical Engineering. Recurrent topics in Craig Chapman's work include Semantic Web and Ontologies (11 papers), Manufacturing Process and Optimization (7 papers) and Information Technology Governance and Strategy (5 papers). Craig Chapman is often cited by papers focused on Semantic Web and Ontologies (11 papers), Manufacturing Process and Optimization (7 papers) and Information Technology Governance and Strategy (5 papers). Craig Chapman collaborates with scholars based in United Kingdom, Japan and United States. Craig Chapman's co-authors include Martyn Pinfold, William Critchley, Miriam P. Finkel, Hanifa Shah, David J. Edwards, Gordon Smith, Erika Pärn, G. Feldman, Dov Dori and Arto Kiviniemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Association for Information Systems and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Craig Chapman

37 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Craig Chapman United Kingdom	11	237	171	100	85	60	40	621
Wenqiang Li China	15	65 0.3×	197 1.2×	78 0.8×	28 0.3×	82 1.4×	77	697
Xiao‐Bing Hu United Kingdom	16	212 0.9×	86 0.5×	48 0.5×	92 1.1×	69 1.1×	57	981
Vladimir Shepelev Russia	17	97 0.4×	66 0.4×	146 1.5×	173 2.0×	52 0.9×	102	1.1k
Yanbin Du China	17	263 1.1×	429 2.5×	92 0.9×	54 0.6×	20 0.3×	70	1.1k
Roger Ivor Grosvenor United Kingdom	13	688 2.9×	272 1.6×	89 0.9×	31 0.4×	33 0.6×	68	1.3k
Gongzhuang Peng China	16	161 0.7×	207 1.2×	48 0.5×	27 0.3×	87 1.4×	47	738
Raghu N. Kackar United States	8	278 1.2×	218 1.3×	73 0.7×	21 0.2×	58 1.0×	10	1.3k
Paul Prickett United Kingdom	14	192 0.8×	364 2.1×	68 0.7×	26 0.3×	30 0.5×	74	844
Raffaele De Amicis United States	15	390 1.6×	83 0.5×	45 0.5×	165 1.9×	52 0.9×	94	1.1k
Bi‐Min Hsu Taiwan	19	183 0.8×	77 0.5×	21 0.2×	20 0.2×	55 0.9×	60	950

Countries citing papers authored by Craig Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Craig Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Chapman. A scholar is included among the top collaborators of Craig Chapman 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 Craig Chapman. Craig Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Edwards, David J., et al.. (2018). Evaluation of vehicle lightweighting to reduce greenhouse gas emissions with focus on magnesium substitution. Journal of Engineering Design and Technology. 16(6). 869–888. 20 indexed citations

Feldman, G., Hanifa Shah, Craig Chapman, Erika Pärn, & David J. Edwards. (2017). A systematic approach for enterprise systems upgrade decision-making. Journal of Engineering Design and Technology. 15(6). 778–802. 8 indexed citations

Farazi, Feroz, et al.. (2017). Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain. 5(1/2). 62–62. 3 indexed citations

Farazi, Feroz, et al.. (2017). Model-based documentation. BCU Open Access Repository (Birmingham City University). 1(1). 1630009–1630009.

Farazi, Feroz, et al.. (2016). WordNet Powered Faceted Semantic Search with Automatic Sense Disambiguation for Bioenergy Domain. 1. 112–115. 1 indexed citations

Feldman, G., et al.. (2016). Technological, Organisational, and Environmental drivers for enterprise systems upgrade. Industrial Management & Data Systems. 116(8). 1636–1655. 6 indexed citations

Feldman, G., et al.. (2015). Enterprise Systems Upgrade Drivers: A Technological, Organisational and Environmental Perspective. Journal of the Association for Information Systems. 83. 4 indexed citations

Chapman, Craig, et al.. (2015). Ontology-based economic models for bioenergy and biofuel projects. BCU Open Access Repository (Birmingham City University). 21. 397–404. 3 indexed citations

Chapman, Craig, et al.. (2015). Knowledge based educational framework for enhancing practical skills in engineering distance learners. BCU Open Access Repository (Birmingham City University). 15. 124–131. 5 indexed citations

10.

Byrne, Bill, et al.. (2014). Ontology-Based Pathways Generation for Biomass to Bioenergy Conversion. BCU Open Access Repository (Birmingham City University). 21. 213–219. 5 indexed citations

11.

Shah, Hanifa, Philip Moore, Sarah Mount, et al.. (2013). Challenges and Opportunities for the Future of iCampuses. SHILAP Revista de lepidopterología. 14(1). 5–5. 3 indexed citations

12.

Feldman, G., et al.. (2013). Enterprise Resource Planning Systems - Streamlining Upgrade Decisions. 128–135.

13.

Chapman, Craig, et al.. (2013). Physical-Informatical Essence-Duality-Aware Generic Modeling of Threat Handling Processes. BCU Open Access Repository (Birmingham City University). 43. 97–102. 5 indexed citations

14.

Solanki, Monika, et al.. (2013). Linked data for potential algal biomass production. Semantic Web. 4(3). 331–340. 3 indexed citations

15.

Pinfold, Martyn, et al.. (2008). Knowledge acquisition and documentation for the development of a KBE system for automated FE analysis. International Journal of Knowledge Management Studies. 2(2). 163–163. 1 indexed citations

16.

Chapman, Craig, et al.. (2007). Utilising enterprise knowledge with knowledge-based engineering. International Journal of Computer Applications in Technology. 28(2/3). 169–169. 7 indexed citations

17.

Chapman, Craig, et al.. (2005). Knowledge acquisition for knowledge-based engineering systems. International Journal of Information Technology and Management. 4(1). 1–1. 19 indexed citations

18.

Pinfold, Martyn & Craig Chapman. (2002). Combining FEA and KBE Techniques to Automate the Analysis Process - A Foresight Vehicle Programme. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

19.

Pinfold, Martyn & Craig Chapman. (1999). The Application of Knowledge Based Engineering Techniques to the Finite Element Mesh Generation of an Automotive Body-in-white Structure. Journal of Engineering Design. 10(4). 365–376. 5 indexed citations

20.

Chapman, Craig. (1992). OR based IT support for individual decision makers. ePrints Soton (University of Southampton). 1 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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