Jennifer Harding

1.7k total citations
53 papers, 1.1k citations indexed

About

Jennifer Harding is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Molecular Biology. According to data from OpenAlex, Jennifer Harding has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Molecular Biology. Recurrent topics in Jennifer Harding's work include Business Process Modeling and Analysis (8 papers), Manufacturing Process and Optimization (7 papers) and Product Development and Customization (6 papers). Jennifer Harding is often cited by papers focused on Business Process Modeling and Analysis (8 papers), Manufacturing Process and Optimization (7 papers) and Product Development and Customization (6 papers). Jennifer Harding collaborates with scholars based in United Kingdom, United States and India. Jennifer Harding's co-authors include Samuel Zalipsky, Neil I. Goldstein, Charles Engbers, Mary S. Newman, Alok Choudhary, Keith Case, Jacqueline Glass, Robert I. Young, Mohammed Alkahtani and Arijit De and has published in prestigious journals such as Journal of Cleaner Production, Ophthalmology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

Jennifer Harding

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Harding United Kingdom 20 344 173 171 117 105 53 1.1k
Yuan Lü Netherlands 19 74 0.2× 44 0.3× 72 0.4× 59 0.5× 153 1.5× 139 1.3k
Robert B. Harris United States 23 536 1.6× 195 1.1× 26 0.2× 26 0.2× 22 0.2× 75 2.2k
Matthew Joseph India 28 343 1.0× 18 0.1× 319 1.9× 49 0.4× 134 1.3× 113 2.5k
Eunji Kim South Korea 23 98 0.3× 101 0.6× 38 0.2× 68 0.6× 422 4.0× 76 2.0k
Zhisheng Chen China 21 170 0.5× 57 0.3× 20 0.1× 117 1.0× 199 1.9× 85 1.4k
Sarah J. Wu United States 19 244 0.7× 35 0.2× 91 0.5× 43 0.4× 16 0.2× 49 1.6k
Jan Carel Diehl Netherlands 23 59 0.2× 111 0.6× 17 0.1× 104 0.9× 23 0.2× 137 2.1k
Jianhua Zhang China 19 68 0.2× 62 0.4× 14 0.1× 69 0.6× 107 1.0× 105 1.4k
Sang-Joon Lee South Korea 17 158 0.5× 12 0.1× 201 1.2× 115 1.0× 75 0.7× 107 1.1k

Countries citing papers authored by Jennifer Harding

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Harding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Harding

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Harding. A scholar is included among the top collaborators of Jennifer Harding 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 Jennifer Harding. Jennifer Harding 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.
Harding, Jennifer, et al.. (2018). Alliances, Assemblages, and Affects: Three Moments of Building Collective Working-Class Literacies. College Composition and Communication. 70(1). 6–29. 5 indexed citations
2.
Denno, Peter, Charles Dickerson, & Jennifer Harding. (2018). Dynamic production system identification for smart manufacturing systems. Journal of Manufacturing Systems. 48. 192–203. 33 indexed citations
3.
Harding, Jennifer, et al.. (2016). Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring. Mechanical Systems and Signal Processing. 83. 176–193. 31 indexed citations
4.
Harding, Jennifer, et al.. (2016). A Hyperconnected Manufacturing Collaboration System Using the Semantic Web and Hadoop Ecosystem System. Procedia CIRP. 52. 18–23. 7 indexed citations
5.
Harding, Jennifer & Daniel Voyer. (2015). Laterality effects in cross-modal affective priming. Laterality Asymmetries of Body Brain and Cognition. 21(4-6). 585–605. 4 indexed citations
6.
Harding, Jennifer, et al.. (2015). An eco-approach to optimise efficiency and productivity of a hydraulic excavator. Journal of Cleaner Production. 112. 3966–3976. 34 indexed citations
7.
Voyer, Daniel, et al.. (2014). Response procedure, memory, and dichotic emotion recognition. Brain and Cognition. 85. 180–190. 6 indexed citations
8.
Chungoora, Nitishal, Robert I. Young, Claire Palmer, et al.. (2013). A model-driven ontology approach for manufacturing system interoperability and knowledge sharing. Computers in Industry. 64(4). 392–401. 119 indexed citations
9.
Young, Robert I., et al.. (2009). Enabling interoperable manufacturing knowledge sharing in PLM. Loughborough University Institutional Repository (Loughborough University). 4 indexed citations
10.
Harding, Jennifer, et al.. (2008). What do you see? : international perspectives on children's book illustration. Cambridge University Press eBooks. 2 indexed citations
11.
Young, Robert I., et al.. (2008). Manufacturing knowledge verification in design support systems. International Journal of Production Research. 47(12). 3179–3204. 15 indexed citations
12.
Harding, Jennifer, et al.. (2005). Investigating the procedures, drawbacks and implications of seamless primaryâsecondary care. Quality in primary care. 13(1). 6 indexed citations
13.
Harding, Jennifer, et al.. (2002). The power of feeling. European Journal of Cultural Studies. 5(4). 407–426. 66 indexed citations
14.
Harding, Jennifer, et al.. (2001). A conceptual view on data-model driven reverse engineering. International Journal of Production Research. 39(4). 667–687. 2 indexed citations
15.
Sugano, M, Nejat K. Egilmez, Soichiro Yokota, et al.. (2000). Antibody targeting of doxorubicin-loaded liposomes suppresses the growth and metastatic spread of established human lung tumor xenografts in severe combined immunodeficient mice.. PubMed. 60(24). 6942–9. 79 indexed citations
16.
Harding, Jennifer, Charles Engbers, Mary S. Newman, Neil I. Goldstein, & Samuel Zalipsky. (1997). Immunogenicity and pharmacokinetic attributes of poly(ethylene glycol)-grafted immunoliposomes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1327(2). 181–192. 154 indexed citations
17.
Jones, Lisa, et al.. (1992). Familial amyloidotic polyneuropathy: a new transthyretin position 30 mutation (alanine for valine) in a family of German descent. Clinical Genetics. 41(2). 70–73. 31 indexed citations
18.
Harding, Jennifer, et al.. (1992). A New Transthyretin Mutation Associated with Amyloidotic Vitreous Opacities. Ophthalmology. 99(4). 503–508. 20 indexed citations
19.
Harding, Jennifer, James Skare, & Martha Skinner. (1991). A second transthyretin mutation at position 33 (Leu/Phe) associated with familial amyloidotic polyneuropathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1097(3). 183–186. 14 indexed citations
20.
Jones, Lee Anna, James Skare, Jennifer Harding, et al.. (1991). Proline at position 36: a new transthyretin mutation associated with familial amyloidotic polyneuropathy.. PubMed. 48(5). 979–82. 37 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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