Daniel L. Greenfield

574 total citations
8 papers, 398 citations indexed

About

Daniel L. Greenfield is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Daniel L. Greenfield has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hardware and Architecture, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Daniel L. Greenfield's work include Parallel Computing and Optimization Techniques (3 papers), Interconnection Networks and Systems (2 papers) and Neural dynamics and brain function (1 paper). Daniel L. Greenfield is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Interconnection Networks and Systems (2 papers) and Neural dynamics and brain function (1 paper). Daniel L. Greenfield collaborates with scholars based in United Kingdom, United States and Germany. Daniel L. Greenfield's co-authors include Simon W. Moore, Andreas Meyer‐Lindenberg, Daniel R. Weinberger, Edward T. Bullmore, Danielle S. Bassett, Jeong‐Gun Lee, Oliver Stegle, Niels C. Pedersen, Hongwei Liu and Conor L. Evans and has published in prestigious journals such as Bioinformatics, PLoS Computational Biology and Veterinary Immunology and Immunopathology.

In The Last Decade

Daniel L. Greenfield

8 papers receiving 389 citations

Peers

Daniel L. Greenfield
Comparison fields: 5 of 84
  • Cognitive Neuroscience 227
  • Electrical and Electronic Engineering 80
  • Computer Networks and Communications 74
  • Radiology, Nuclear Medicine and Imaging 62
  • Hardware and Architecture 52
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Citations per field, relative to Daniel L. Greenfield
Daniel L. Greenfield · 1×
Citations per year, relative to Daniel L. Greenfield
Daniel L. Greenfield · 1×

Countries citing papers authored by Daniel L. Greenfield

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Greenfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Greenfield. 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 Daniel L. Greenfield. The network helps show where Daniel L. Greenfield may publish in the future.

Co-authorship network of co-authors of Daniel L. Greenfield

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 21
3 25
4 281
5 3
6 2
7 16
8 48

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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