Jeff Gibbs

1.4k citations
2 papers · 828 indexed · 1 hit paper · h-index 2
Topics
AI in cancer detection (1 paper)Advanced Thermodynamics and Statistical Mechanics (1 paper)Biomedical Text Mining and Ontologies (1 paper)
Journals
The Journal of PathologyVirtual Defense Library (Ministerio de Defensa)

In The Last Decade

Jeff Gibbs

2 papers receiving 779 citations

Hit Papers

The scientific papers of J. Willard Gibbs.19612026198220041961100200300400500

Peers

Jeff Gibbs
Comparison fields: 5 of 115
  • Materials Chemistry 218
  • Artificial Intelligence 206
  • Biomedical Engineering 149
  • Radiology, Nuclear Medicine and Imaging 144
  • Atmospheric Science 116
Replace Matthias Grimm with:
Matthias Grimm Germany
Akira Sakai Japan
Talid Sinno United States
Thomas Walther Germany
Alessandro Taloni Italy
В.Н. Баграташвили Russia
Jerzy S. Krasiński United States
Jui‐Teng Lin United States
Yongliang Zhang China
P. K. Gupta India
Jeff Gibbs relative to Matthias Grimm Germany Matthias Grimm's profile →
Citations per field
00.5×8.6×
Matthias Grimm · 1×
Citations per year

Countries citing papers authored by Jeff Gibbs

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Gibbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Gibbs

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 268
2
The scientific papers of J. Willard Gibbs.breakdown →
560

About Jeff Gibbs

Jeff Gibbs is a scholar working on Biophysics, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 2 papers that have together received 828 indexed citations. Recurring topics across this work include AI in cancer detection (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Health Informatics (48 citations), Biophysics (53 citations) and Statistical and Nonlinear Physics (90 citations). Jeff Gibbs has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Anil V. Parwani, Jeroen van der Laak, Esther Abels, Mark D. Zarella, Famke Aeffner, Liron Pantanowitz, Marilyn M. Bui, Emmanuel Agosto‐Arroyo, Andrew H. Beck and Cleopatra Kozlowski. Their work appears in journals such as The Journal of Pathology and Virtual Defense Library (Ministerio de Defensa).

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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