Paul A. Tucker

32.6k citations
136 papers · 5.5k indexed · 1 hit paper · h-index 33
Topics
Enzyme Structure and Function (25 papers)Protein Structure and Dynamics (13 papers)Advanced Sensor and Energy Harvesting Materials (13 papers)

In The Last Decade

Paul A. Tucker

132 papers receiving 5.2k citations

Hit Papers

Large Scale Distributed Deep Networks2012202620162021201250010001.5k

Peers

Paul A. Tucker
Comparison fields: 5 of 184
  • Molecular Biology 1.6k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 850
  • Materials Chemistry 701
  • Genetics 502
Replace Hidehiko Tanaka with:
Hidehiko Tanaka Japan
Shaoli Liu China
Ali Shafiee United States
Yutong Lu China
Reinhard Schneider Germany
Saul B. Needleman United States
John H. Reif United States
Sungroh Yoon South Korea
Ken Chen United States
Jack Snoeyink United States
Paul A. Tucker relative to Hidehiko Tanaka Japan Hidehiko Tanaka's profile →
Citations per field
00.5×4.6×
Hidehiko Tanaka · 1×
Citations per year

Countries citing papers authored by Paul A. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul A. Tucker

This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Tucker. A scholar is included among the top collaborators of Paul A. Tucker 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 Paul A. Tucker. Paul A. Tucker 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
#WorkIndexed citations
1
Large Scale Distributed Deep Networksbreakdown →
1706
2 48
3 53
4 1
5 30
6 23
7 2
8 33
9 10
10 34
11 36
12 102
13 10
14 8
15 4
16 21
17 56
18 1
19 14
20 368

About Paul A. Tucker

Paul A. Tucker is a scholar working on Polymers and Plastics, Structural Biology and Pharmaceutical Science, having authored 136 papers that have together received 5.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (25 papers), Protein Structure and Dynamics (13 papers) and Advanced Sensor and Energy Harvesting Materials (13 papers). The work is most often cited by research in Hardware and Architecture (494 citations), Computer Vision and Pattern Recognition (850 citations) and Artificial Intelligence (1.3k citations). Paul A. Tucker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Santosh Panjikar, M.S. Weiss, M. Mao, Ke Yang, Marc’Aurelio Ranzato, Jay B. Dean, Greg S. Corrado, Matthieu Devin, Andrew Senior and Quoc V. Le. Their work appears in journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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