James Kirkpatrick

17.4k citations
50 papers · 10.3k indexed · 7 hit papers · h-index 32

James Kirkpatrick

49 papers receiving 10.1k citations

Hit Papers

Knowledge-int...94200920262014202010002.0k3.0k

Peers

James Kirkpatrick
Comparison fields: 5 of 196
  • Polymers and Plastics 2.0k
  • Artificial Intelligence 3.0k
  • Computer Vision and Pattern Recognition 1.5k
  • Health Informatics 96
  • Electrical and Electronic Engineering 3.7k
Replace Shi‐Xia Liu with:
Shi‐Xia Liu Switzerland
Abhishek Kumar India
Kevin Lin United States
Feng Zhou United States
Alok Choudhary United States
Jun Wang China
Xuying Liu China
Ananth Grama United States
Ankit Agrawal United States
Ekin D. Cubuk United States
James Kirkpatrick relative to Shi‐Xia Liu Switzerland Shi‐Xia Liu's profile →
Citations per field
00.5×6.9×
Shi‐Xia Liu · 1×
Citations per year

Countries citing papers authored by James Kirkpatrick

Since Specialization
Citations

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

Fields of papers citing papers by James Kirkpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Pushing the frontiers of density functionals by solving the fractional electron problembreakdown →
2021243
2 202056
3
Improved protein structure prediction using potentials from deep learningbreakdown →
20202026
4 20175
5
Overcoming catastrophic forgetting in neural networksbreakdown →
20173594
6 201426
7 201383
8 201366
9 2011344
10 201140
11 201117
12 2010235
13
Rational design of the shape and periphery of discotics: a synthetic way towards high charge carrier mobilities
20091
14
Towards high charge-carrier mobilities by rational design of the shape and periphery of discoticsbreakdown →
2009527
15 2009192
16 2009225
17 200816
18 200860
19 200536
20 2004167

About James Kirkpatrick

James Kirkpatrick is a scholar working on Polymers and Plastics, Physical and Theoretical Chemistry and Electrical and Electronic Engineering, having authored 50 papers that have together received 10.3k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (32 papers), Conducting polymers and applications (19 papers), Molecular Junctions and Nanostructures (13 papers), Photochemistry and Electron Transfer Studies (8 papers), Organic Light-Emitting Diodes Research (8 papers), Synthesis and Properties of Aromatic Compounds (4 papers), Liquid Crystal Research Advancements (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Polymers and Plastics (2.0k citations), Artificial Intelligence (3.0k citations) and Computer Vision and Pattern Recognition (1.5k citations). James Kirkpatrick has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Demis Hassabis, Jenny Nelson, Denis Andrienko, Razvan Pascanu, Raia Hadsell, Guillaume Desjardins, Andrei A. Rusu, Dharshan Kumaran, Kieran Milan and Agnieszka Grabska‐Barwińska. Their work appears in journals such as physica status solidi (b), Physical Review B, The Journal of Chemical Physics, Journal of the American Chemical Society and Physical Chemistry Chemical Physics.

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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