Shushma Patel

1.2k total citations
49 papers, 816 citations indexed

About

Shushma Patel is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Shushma Patel has authored 49 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Control and Systems Engineering. Recurrent topics in Shushma Patel's work include Cognitive Computing and Networks (15 papers), Cognitive Science and Mapping (5 papers) and Computability, Logic, AI Algorithms (4 papers). Shushma Patel is often cited by papers focused on Cognitive Computing and Networks (15 papers), Cognitive Science and Mapping (5 papers) and Computability, Logic, AI Algorithms (4 papers). Shushma Patel collaborates with scholars based in United Kingdom, United States and Canada. Shushma Patel's co-authors include Dilip Patel, Yingxu Wang, Ying Wang, Sajid Nazir, Fredric B. Kraemer, Carole Sztalryd, W. C. Noble, Newton Howard, Marina L. Gavrilova and Victor Raskin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Lipid Research and Sensors and Actuators B Chemical.

In The Last Decade

Shushma Patel

47 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shushma Patel United Kingdom 14 407 163 147 120 87 49 816
Hongmei He United Kingdom 15 395 1.0× 147 0.9× 90 0.6× 265 2.2× 110 1.3× 73 1.7k
John Sauter United States 14 218 0.5× 46 0.3× 24 0.2× 271 2.3× 124 1.4× 51 688
Xin Lin China 19 699 1.7× 44 0.3× 210 1.4× 103 0.9× 377 4.3× 131 1.4k
Phillip C.‐Y. Sheu United States 15 345 0.8× 87 0.5× 91 0.6× 127 1.1× 161 1.9× 125 912
Xun Wang China 15 134 0.3× 19 0.1× 62 0.4× 184 1.5× 36 0.4× 52 891
Daniel Lohmann Germany 23 823 2.0× 17 0.1× 60 0.4× 708 5.9× 28 0.3× 130 1.8k
Ashwani Kumar India 18 166 0.4× 85 0.5× 66 0.4× 138 1.1× 276 3.2× 70 1.2k
Andrzej Gościński Australia 15 158 0.4× 51 0.3× 30 0.2× 786 6.5× 46 0.5× 124 1.5k
David L. Martin United States 12 1.4k 3.5× 59 0.4× 32 0.2× 757 6.3× 202 2.3× 28 2.2k
Xingjie Liu China 13 250 0.6× 40 0.2× 12 0.1× 233 1.9× 87 1.0× 59 989

Countries citing papers authored by Shushma Patel

Since Specialization
Citations

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

Fields of papers citing papers by Shushma Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shushma Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Shushma Patel. A scholar is included among the top collaborators of Shushma Patel 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 Shushma Patel. Shushma Patel 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.
Wang, Yingxu, Konstantinos N. Plataniotis, Sam Kwong, et al.. (2019). On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. Research Open (London South Bank University). 7–12. 10 indexed citations
2.
Chance, Shannon, et al.. (2019). A CRITICAL ANALYSIS OF ‘CREATIVITY’ IN SUSTAINABLE PRODUCTION AND DESIGN. 5 indexed citations
3.
Nazir, Sajid, Shushma Patel, & Dilip Patel. (2018). Hyper Parameters Selection for Image Classification in Convolutional Neural Networks. Research Open (London South Bank University). 401–407. 10 indexed citations
4.
Wang, Yingxu, Newton Howard, Janusz Kacprzyk, et al.. (2018). Cognitive Informatics. International Journal of Cognitive Informatics and Natural Intelligence. 12(1). 1–13. 14 indexed citations
5.
Patel, Shushma, et al.. (2018). Towards a Business Model Framework to Increase Collaboration in the Freight Industry. SHILAP Revista de lepidopterología. 2(4). 22–22. 19 indexed citations
6.
Nazir, Sajid, Shushma Patel, & Dilip Patel. (2017). Autonomic computing meets SCADA security. Research Open (London South Bank University). 498–502. 7 indexed citations
7.
Wang, Yingxu, et al.. (2017). Formal Ontology Generation by deep machine learning. Research Open (London South Bank University). 6–15. 8 indexed citations
8.
Nazir, Sajid, Shushma Patel, & Dilip Patel. (2017). Autonomic Computing Architecture for SCADA Cyber Security. International Journal of Cognitive Informatics and Natural Intelligence. 11(4). 66–79. 6 indexed citations
9.
Boza, Andrés, et al.. (2015). Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning. Data & Knowledge Engineering. 105. 5–22. 15 indexed citations
10.
Wang, Yingxu, Edmund T. Rolls, Newton Howard, et al.. (2015). Cognitive Informatics and Computational Intelligence. International Journal of Software Science and Computational Intelligence. 7(2). 50–69. 10 indexed citations
11.
Patel, Dilip, et al.. (2008). The Knowledge Management Paradox: Bridging Knowledge and Pedagogy for Clinical Care. SSRN Electronic Journal. 1 indexed citations
12.
Patel, Dilip, et al.. (2008). Designing Ontology Based Knowledge Acquisition for Clinical Guidelines: A Case-study Approach. SSRN Electronic Journal. 1 indexed citations
13.
Patel, Shushma. (2003). Understanding problems and problem situations - a systems approach. 84–87. 2 indexed citations
14.
Patel, Dilip & Shushma Patel. (2003). The Cognitive Process of Problem Solving: A Soft Systems Approach. 4(2). 283–295. 4 indexed citations
15.
Mériaudeau, Fabrice, T. L. Ferrell, E. T. Arakawa, et al.. (2001). Study of different hormone-sensitive lipase concentrations using a surface plasmon resonance sensor. Sensors and Actuators B Chemical. 73(2-3). 192–198. 4 indexed citations
16.
Patel, Shushma & W. C. Noble. (1993). Analyses of skin surface lipid in patients with microbially associated skin disease. Clinical and Experimental Dermatology. 18(5). 405–409. 10 indexed citations
17.
Patel, Shushma & W. C. Noble. (1992). Changes in Skin Surface Lipid Composition During Therapy for Severe Acne Vulgaris and Relation to Colonisation with Propionibacteria. Microbial Ecology in Health and Disease. 5(6). 1 indexed citations
18.
Patel, Shushma & W. C. Noble. (1992). Changes in Skin Surface Lipid Composition During Therapy for Severe Acne Vulgaris and Relation to Colonisation with Propionibacteria. Microbial Ecology in Health and Disease. 5(6). 291–297. 1 indexed citations
19.
Murata, Yoshihiko, Shushma Patel, Judith E. Kalinyak, et al.. (1992). Developmental regulation of lipoprotein lipase in rats. American Journal of Physiology-Endocrinology and Metabolism. 262(3). E330–E337. 24 indexed citations
20.
Patel, Shushma & W. C. Noble. (1987). Analysis of human skin surface lipid during treatment with anti-androgens. British Journal of Dermatology. 117(6). 735–740. 6 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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