Philip K. Berger

46 total papers · 534 total citations
29 papers, 384 citations indexed

About

Philip K. Berger is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology and Emergency Medical Services. According to data from OpenAlex, Philip K. Berger has authored 29 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Applied Psychology and 5 papers in Emergency Medical Services. Recurrent topics in Philip K. Berger's work include Data Visualization and Analytics (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Occupational Health and Safety Research (3 papers). Philip K. Berger is often cited by papers focused on Data Visualization and Analytics (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Occupational Health and Safety Research (3 papers). Philip K. Berger collaborates with scholars based in United States, Germany and Canada. Philip K. Berger's co-authors include Richard L. Oliver, Linda A. Krefting, Marc J. Wallace, R. Leemans, J. S. de Graaf, Oliver Staadt, Alexei Sourin, Tobias Schreck, Keith Andrews and Jürgen Bernard and has published in prestigious journals such as Academy of Management Journal, Journal of Applied Psychology and Journal of Consumer Research.

In The Last Decade

Philip K. Berger

29 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Philip K. Berger 81 62 61 59 43 29 384
Alicia Modestino 101 1.2× 37 0.6× 25 0.4× 23 0.4× 52 1.2× 29 385
Aparna Ashok 19 0.2× 20 0.3× 49 0.8× 9 0.2× 160 3.7× 14 387
Anne Seymour 31 0.4× 19 0.3× 25 0.4× 9 0.2× 185 4.3× 11 442
Per Hasvold 47 0.6× 23 0.4× 31 0.5× 5 0.1× 126 2.9× 18 433
Wiktoria Wilkowska 99 1.2× 76 1.2× 7 0.1× 8 0.1× 104 2.4× 36 402
Jing Liu 179 2.2× 9 0.1× 59 1.0× 18 0.3× 89 2.1× 34 427
Kevin K. John 148 1.8× 16 0.3× 10 0.2× 20 0.3× 80 1.9× 30 444
Grace Shin 81 1.0× 26 0.4× 23 0.4× 6 0.1× 168 3.9× 14 433
Ruth DeSouza 102 1.3× 7 0.1× 59 1.0× 18 0.3× 138 3.2× 32 427
Dhruv Sharma 63 0.8× 6 0.1× 12 0.2× 60 1.0× 55 1.3× 43 380

Countries citing papers authored by Philip K. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Philip K. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip K. Berger. 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 Philip K. Berger. The network helps show where Philip K. Berger may publish in the future.

Co-authorship network of co-authors of Philip K. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Philip K. Berger. A scholar is included among the top collaborators of Philip K. Berger 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 Philip K. Berger. Philip K. Berger 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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