Jack W. Scannell

5.8k citations
28 papers · 3.7k indexed · 2 hit papers · h-index 20
Topics
Neural dynamics and brain function (14 papers)Functional Brain Connectivity Studies (10 papers)Visual perception and processing mechanisms (9 papers)

In The Last Decade

Jack W. Scannell

28 papers receiving 3.5k citations

Hit Papers

Diagnosing the decline in pharmaceutical R&D effic...2002202620102018201220024008001.2k

Peers

Jack W. Scannell
Comparison fields: 5 of 189
  • Molecular Biology 1.2k
  • Cognitive Neuroscience 1.1k
  • Ecology 539
  • Computational Theory and Mathematics 483
  • Economics and Econometrics 315
Replace Rui Liu with:
Rui Liu China
Nathan D. Price United States
Vladimir B. Bajić Saudi Arabia
Toni Giorgino Italy
Nathan E. Lewis United States
Naoki Masuda Japan
Olli Yli‐Harja Finland
Pei Wang China
Ole Christian Lingjærde Norway
Jack W. Scannell relative to Rui Liu China Rui Liu's profile →
Citations per field
00.5×5.8×
Rui Liu · 1×
Citations per year

Countries citing papers authored by Jack W. Scannell

Since Specialization
Citations

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

Fields of papers citing papers by Jack W. Scannell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack W. Scannell. 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 Jack W. Scannell. The network helps show where Jack W. Scannell may publish in the future.

Co-authorship network of co-authors of Jack W. Scannell

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 47
3 1
4 63
5 3
6 44
7 180
8 8
9 3
10
Diagnosing the decline in pharmaceutical R&D efficiencybreakdown →
1264
11 41
12 34
13
Estimating prokaryotic diversity and its limitsbreakdown →
773
14 9
15 279
16 53
17 62
18
The Analysis of Cortical Connectivity
66
19 4
20 80

About Jack W. Scannell

Jack W. Scannell is a scholar working on Cognitive Neuroscience, Applied Microbiology and Biotechnology and Economics and Econometrics, having authored 28 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Functional Brain Connectivity Studies (10 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Computational Theory and Mathematics (483 citations) and Ecology (539 citations). Jack W. Scannell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Brian Warrington, Thomas P. Curtis, William T. Sloan, Malcolm P. Young, Claus C. Hilgetag, Gully Burns, Jim Bosley, Mark A. O’Neill, M. P. Young and Colin Blakemore. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

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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