Neil Jacobs

25 papers receiving 204 citations

Peers

Neil Jacobs
Comparison fields: 5 of 83
  • Information Systems 110
  • Statistics, Probability and Uncertainty 60
  • Information Systems and Management 48
  • Clinical Psychology 31
  • Sociology and Political Science 24
Replace Sarah Earl‐Novell with:
Sarah Earl‐Novell United States
Shannon Lawrence United States
Sheri Edwards United States
Nick Canty United Kingdom
Karen Antell United States
Arslan Sheikh Pakistan
Alexandra Dimitroff United States
Lai Ma Ireland
K.T. L. Vaughan United States
Jenny Bossaller United States
Neil Jacobs relative to Sarah Earl‐Novell United States Sarah Earl‐Novell's profile →
Citations per field
00.5×2.7×
Sarah Earl‐Novell · 1×
Citations per year

Countries citing papers authored by Neil Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Neil Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Jacobs. A scholar is included among the top collaborators of Neil Jacobs 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 Neil Jacobs. Neil Jacobs 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 0
2 1
3 4
4 2
5 0
6 12
7 10
8 9
9 55
10
20/20 Vision: an e-Infrastructure for the next decade. Report of the Data and Information Creation Working Group to the e-Infrastructure Steering Group
0
11 7
12 2
13 3
14 22
15
Planning document access : options and opportunities
3
16 37
17 2
18 2
19 3
20 4

About Neil Jacobs

Neil Jacobs is a scholar working on Library and Information Sciences, Statistics, Probability and Uncertainty and Information Systems, having authored 28 papers that have together received 264 indexed citations. Recurring topics across this work include Library Collection Development and Digital Resources (6 papers), Research Data Management Practices (6 papers) and Web and Library Services (5 papers). The work is most often cited by research in Library and Information Sciences (17 citations), Statistics, Probability and Uncertainty (60 citations) and Information Systems and Management (48 citations). Neil Jacobs has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Helen Cramer, Helga Dittmar, Emma Halliwell, Barbara Lloyd, Anne Morris, Savas Parastatidis, Herbert Van de Sompel, Clifford A. Lynch, Kelvin K. Droegemeier and Carl Lagoze. Their work appears in journals such as Bulletin of the American Meteorological Society, Sex Roles and Journal of Neuroscience Methods.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026