David C. Sharp

42 papers receiving 544 citations

Peers

David C. Sharp
Comparison fields: 5 of 101
  • Hardware and Architecture 141
  • Software 72
  • Analytical Chemistry 75
  • Biophysics 40
  • Management of Technology and Innovation 43
Replace Andrew McGettrick with:
Andrew McGettrick United Kingdom
Robert Lindsay United States
Krishnakumar Balasubramanian United States
Roland T. Mittermeir Austria
Jon G. Hall United Kingdom
Margaret Myers United States
Robert Dewar United States
Sang Kyun Kim South Korea
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David C. Sharp relative to Andrew McGettrick United Kingdom Andrew McGettrick's profile →
Citations per field
00.5×3.9×
Andrew McGettrick · 1×
Citations per year

Countries citing papers authored by David C. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by David C. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Sharp. 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 David C. Sharp. The network helps show where David C. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005117
2 200295
3 200041
4
Toward Adaptive and Reflective Middleware for Network-Centric Combat Systems
200130
5 199827
6
Problem-based learning in the information age
200323
7 200822
8 200017
9 200017
10 199917
11 200317
12 200415
13 200012
14 200512
15 200312
16 200212
17 201010
18 19989
19 19958
20 20017

About David C. Sharp

David C. Sharp is a scholar working on Hardware and Architecture, Control and Systems Engineering, Sociology and Political Science, Gender Studies and Artificial Intelligence, having authored 44 papers that have together received 595 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (16 papers), Embedded Systems Design Techniques (8 papers), Gender, Labor, and Family Dynamics (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Advanced Software Engineering Methodologies (6 papers), Real-time simulation and control systems (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers) and Work-Family Balance Challenges (5 papers). The work is most often cited by research in Hardware and Architecture (141 citations), Software (72 citations), Analytical Chemistry (75 citations), Biophysics (40 citations) and Management of Technology and Innovation (43 citations). David C. Sharp has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Dave S. Knowlton, David H. Ciscel, Alan Pettman, Perry A. Hailey, Gábor Karsai, Sandeep Neema, D.L. Massart, Julie A. Heath, Christopher J. Knowles and F. Cuesta Sánchez. Their work appears in journals such as Organic Process Research & Development, Chemometrics and Intelligent Laboratory Systems, Economics of Education Review, Academy of Management Learning and Education and Australasian Journal of Paramedicine.

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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