Phil Morgan

22 total papers · 467 total citations
13 papers, 336 citations indexed

About

Phil Morgan is a scholar working on Artificial Intelligence, Biophysics and Organic Chemistry. According to data from OpenAlex, Phil Morgan has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Biophysics and 2 papers in Organic Chemistry. Recurrent topics in Phil Morgan's work include Neural Networks and Applications (3 papers), Electron Spin Resonance Studies (3 papers) and NMR spectroscopy and applications (1 paper). Phil Morgan is often cited by papers focused on Neural Networks and Applications (3 papers), Electron Spin Resonance Studies (3 papers) and NMR spectroscopy and applications (1 paper). Phil Morgan collaborates with scholars based in United Kingdom, Egypt and Canada. Phil Morgan's co-authors include Bruce Curry, Jeffrey Evans, Beverley Bates, Gillian Swan, Heather Peace, Sarah Pigott, Alison Lennox, Jonathan Evans, B.A. El‐Shetary and Alwyn G. Evans and has published in prestigious journals such as European Journal of Operational Research, Analytica Chimica Acta and Diabetic Medicine.

In The Last Decade

Phil Morgan

13 papers receiving 313 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Phil Morgan 108 63 41 41 24 13 336
Karen Skinner 59 0.5× 36 0.6× 32 0.8× 43 1.0× 4 0.2× 17 397
Jamal Rahmani 36 0.3× 21 0.3× 20 0.5× 29 0.7× 15 0.6× 11 306
Wanru Jia 44 0.4× 32 0.5× 13 0.3× 24 0.6× 29 1.2× 20 293
Shiqi Chen 96 0.9× 31 0.5× 15 0.4× 60 1.5× 12 0.5× 29 379
Kyle Raubenheimer 40 0.4× 17 0.3× 26 0.6× 60 1.5× 5 0.2× 10 321
Eric Elenko 37 0.3× 9 0.1× 16 0.4× 27 0.7× 9 0.4× 11 341
Mira Florea 42 0.4× 9 0.1× 4 0.1× 37 0.9× 30 1.3× 29 387
Yutao Lan 47 0.4× 24 0.4× 2 0.0× 38 0.9× 6 0.3× 21 394
Lingli Chen 105 1.0× 17 0.3× 55 1.3× 103 2.5× 3 0.1× 21 346
Peter Kleist 55 0.5× 17 0.3× 11 0.3× 50 1.2× 9 0.4× 26 371

Countries citing papers authored by Phil Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Phil Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Morgan. A scholar is included among the top collaborators of Phil Morgan 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 Phil Morgan. Phil Morgan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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