Nic Fleming

897 citations
50 papers · 565 · 1 hit paper · h-index 8

Impact in

Papers in

Nic Fleming

37 papers receiving 533 citations

Nic Fleming's Hit Papers

How artificial intelligence is changing drug discovery 2018 · 348 citations
3480+2+5Years since publication100200300

Peers

Nic Fleming
Comparison fields: 5 of 133
  • Health Informatics 62
  • Computational Theory and Mathematics 136
  • Health Information Management 23
  • Biophysics 22
  • Safety Research 26
Replace Ramakanth Kavuluru with:
Ramakanth Kavuluru United States
Lixia Yao United States
Majid Rastegar-Mojarad United States
Jonathan J. Darrow United States
Qiao Jin United States
Michael S. Ringel Switzerland
Elena Tutubalina Russia
Julia Powles United Kingdom
Michal Kouril United States
Hal Hodson United States
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Citations per field
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Ramakanth Kavuluru · 1×
Citations per year

Countries citing papers authored by Nic Fleming

Since Specialization
Citations

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

Fields of papers citing papers by Nic Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Nic Fleming, 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 Nic Fleming Line = papers co-authored together Nic Fleming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How artificial intelligence is changing drug discovery
Hit paper breakdown →
2018348
2 202077
3 199028
4 202121
5 20109
6 20047
7 20187
8 20107
9 20197
10 20185
11 20205
12 20115
13 20104
14 20194
15 20232
16 20162
17 20102
18 20222
19 20192
20 20092

About Nic Fleming

Nic Fleming is a scholar working on Sociology and Political Science, Molecular Biology, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty and Automotive Engineering, having authored 50 papers that have together received 565 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (3 papers), scientometrics and bibliometrics research (3 papers), Conferences and Exhibitions Management (3 papers), Science, Research, and Medicine (2 papers), Academic Publishing and Open Access (2 papers), Identification and Quantification in Food (2 papers), Diet and metabolism studies (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Health Informatics (62 citations), Computational Theory and Mathematics (136 citations), Health Information Management (23 citations), Biophysics (22 citations) and Safety Research (26 citations). Nic Fleming has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Spencer J. Williams and Siddhartha Sikdar. Their work appears in journals such as Nature, Nature Climate Change, SAE technical papers on CD-ROM/SAE technical paper series, The New Scientist and Journal of Nurse-Midwifery.

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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