J.A. Sharp

49 papers receiving 805 citations

Peers

J.A. Sharp
Comparison fields: 5 of 114
  • Management Information Systems 237
  • Management Science and Operations Research 305
  • Management of Technology and Innovation 141
  • Industrial and Manufacturing Engineering 187
  • Strategy and Management 203
Replace Phillip E. Pfeifer with:
Phillip E. Pfeifer United States
Konstantin Kogan Israel
Yael Grushka‐Cockayne United States
Benito E. Flores United States
RenéVictor Valqui Vidal Denmark
Tina Wakolbinger Austria
Ramandeep S. Randhawa United States
Robert J. Weiner United States
Gerhard Mensch United States
Pedro Godinho Portugal
J.A. Sharp relative to Phillip E. Pfeifer United States Phillip E. Pfeifer's profile →
Citations per field
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Phillip E. Pfeifer · 1×
Citations per year

Countries citing papers authored by J.A. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000292
2 2006167
3 199056
4 201922
5 198422
6 202021
7 200121
8 201517
9 199817
10 202116
11 198616
12 199014
13 202012
14 200011
15 200711
16 202210
17 201510
18 19899
19 19859
20 19909

About J.A. Sharp

J.A. Sharp is a scholar working on Management Science and Operations Research, Management Information Systems, Management of Technology and Innovation, Economics and Econometrics and Industrial and Manufacturing Engineering, having authored 51 papers that have together received 883 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (5 papers), Collaboration in agile enterprises (5 papers), Scheduling and Optimization Algorithms (4 papers), Innovation and Knowledge Management (4 papers), Business Process Modeling and Analysis (4 papers), Forecasting Techniques and Applications (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Management Information Systems (237 citations), Management Science and Operations Research (305 citations), Management of Technology and Innovation (141 citations), Industrial and Manufacturing Engineering (187 citations) and Strategy and Management (203 citations). J.A. Sharp has collaborated with scholars based in United Kingdom, Australia and Bulgaria. Frequent co-authors include David H. Price, R. Beach, Andrew H. Paterson, Wei Meng, Matthew J. Simpson, A.P. Mühlemann, Kevin Burrage, Alexander P. Browning, Tarunendu Mapder and Ruth E. Baker. Their work appears in journals such as European Journal of Operational Research, Journal of the Operational Research Society, Omega, Journal of Theoretical Biology and Journal of Forecasting.

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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