Gordon M. Shepherd

2.1k citations
30 papers · 670 indexed · h-index 15

Gordon M. Shepherd

29 papers receiving 635 citations

Peers

Gordon M. Shepherd
Comparison fields: 5 of 105
  • Information Systems and Management 102
  • Biophysics 78
  • Sensory Systems 52
  • Artificial Intelligence 257
  • Health Information Management 34
Replace Emmanouil Skoufos with:
Emmanouil Skoufos United States
Robert A. McDougal United States
Richard Mushlin United States
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Yanping Zhang China
F. Howell United Kingdom
Jochen Martin Eppler Germany
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J. Gerard Wolff United Kingdom
Amir Madany Mamlouk Germany
Gordon M. Shepherd relative to Emmanouil Skoufos United States Emmanouil Skoufos's profile →
Citations per field
00.5×4.6×
Emmanouil Skoufos · 1×
Citations per year

Countries citing papers authored by Gordon M. Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Gordon M. Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon M. Shepherd. 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 Gordon M. Shepherd. The network helps show where Gordon M. Shepherd may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20166
2 201520
3 201412
4 201230
5 201014
6 20096
7 20084
8 2008107
9 200813
10 200850
11 20074
12 20071
13 200736
14 200414
15 200422
16 200341
17 200315
18 1999145
19 199827
20
The significance of real neuron architectures for neural network simulations
199316

About Gordon M. Shepherd

Gordon M. Shepherd is a scholar working on Artificial Intelligence, Information Systems and Management and Sensory Systems, having authored 30 papers that have together received 670 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (12 papers), Bioinformatics and Genomic Networks (6 papers), Advanced Text Analysis Techniques (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Scientific Computing and Data Management (3 papers), Neural dynamics and brain function (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Information Systems and Management (102 citations), Biophysics (78 citations) and Sensory Systems (52 citations). Gordon M. Shepherd has collaborated with scholars based in United States, Austria and Hungary. Frequent co-authors include Perry L. Miller, Luis Marenco, Emmanouil Skoufos, Runsheng Chen, Maryann E. Martone, P. Nadkarni, Giorgio A. Ascoli, Prakash M. Nadkarni, Jeffrey S. Grethe and Chiquito Crasto. Their work appears in journals such as Journal of Neuroscience, Brain Research Reviews and BMC Bioinformatics.

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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