Michael Spector

4.0k citations
49 papers · 2.7k · 1 hit paper · h-index 23

Impact in

Papers in

Michael Spector

47 papers receiving 2.5k citations

Michael Spector's Hit Papers

A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 2021 · 576 citations
5760+1+3Years since publication100200300400500

Peers

Michael Spector
Comparison fields: 5 of 170
  • Endocrinology 664
  • Health Informatics 103
  • Food Science 837
  • Computer Science Applications 232
  • Molecular Medicine 184
Replace Silvia Restrepo with:
Silvia Restrepo Colombia
Peter Dawyndt Belgium
Preetam Ghosh United States
Thomas Abeel United States
Jorge Membrillo‐Hernández Mexico
Nina M. Donghia United States
Ahmed H. Badran United States
Anália Lourenço Portugal
Tim Carver United Kingdom
Han Zhang China
Michael Spector relative to Silvia Restrepo Colombia Silvia Restrepo's profile →
Citations per field
00.5×9.6×
Silvia Restrepo · 1×
Citations per year

Countries citing papers authored by Michael Spector

Since Specialization
Citations

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

Fields of papers citing papers by Michael Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020
Hit paper breakdown →
2021576
2 1995298
3 2006254
4 2011200
5 2000193
6 1986130
7 199498
8 199077
9 199977
10 200274
11 199871
12 199265
13 199961
14 199653
15 198850
16 200242
17 199634
18 200331
19 198629
20 198528

About Michael Spector

Michael Spector is a scholar working on Food Science, Molecular Biology, Endocrinology, Ecology and Genetics, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Vibrio bacteria research studies (12 papers), Bacterial Genetics and Biotechnology (9 papers), Bacteriophages and microbial interactions (9 papers), Stochastic processes and financial applications (6 papers), Financial Risk and Volatility Modeling (6 papers), RNA Interference and Gene Delivery (3 papers) and Insurance, Mortality, Demography, Risk Management (3 papers). The work is most often cited by research in Endocrinology (664 citations), Health Informatics (103 citations), Food Science (837 citations), Computer Science Applications (232 citations) and Molecular Medicine (184 citations). Michael Spector has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John W. Foster, William J. Kenyon, Mark Roberts, Gary Rowley, Ján Kormanec, Xiaoyan Chu, Xuesong Zhai, Yan Li, Ching Sing Chai and Yuan Jing. Their work appears in journals such as Journal of Bacteriology, Microbiology, Molecular Microbiology, Current Microbiology and FEMS Microbiology Ecology.

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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