Michael Spector

3.9k citations
49 papers · 2.6k indexed · 1 hit paper · h-index 23

Michael Spector

47 papers receiving 2.5k citations

Hit Papers

A Review of Artificial Intelligence (AI) in Education fro...5122021202620222024100200300400500

Peers

Michael Spector
Comparison fields: 5 of 170
  • Endocrinology 679
  • Health Informatics 100
  • Food Science 851
  • Computer Science Applications 221
  • Biotechnology 329
Replace Silvia Restrepo with:
Silvia Restrepo Colombia
Peter Dawyndt Belgium
Preetam Ghosh United States
Thomas Abeel United States
Anália Lourenço Portugal
Nina M. Donghia United States
Jorge Membrillo‐Hernández Mexico
Nicola Mulder South Africa
Ahmed H. Badran United States
Han Zhang China
Michael Spector relative to Silvia Restrepo Colombia Silvia Restrepo's profile →
Citations per field
00.5×9.2×
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-authorship network

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
#Work
1 20242
2 20220
3 20223
4
A Review of Artificial Intelligence (AI) in Education from 2010 to 2020breakdown →
2021512
5 20199
6 201710
7 20158
8 20143
9
Creating a NASA MMS Trans-Media Book
20121
10 20109
11 2006253
12 200274
13 199871
14
Instructional design and the authoring of multimedia and hypermedia systems : Does a marriage make sense?
199724
15 199634
16 1995297
17 199264
18 19901
19 198610
20 198528

About Michael Spector

Michael Spector is a scholar working on Endocrinology, Food Science and Architecture, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Vibrio bacteria research studies (12 papers), Bacteriophages and microbial interactions (9 papers), Bacterial Genetics and Biotechnology (9 papers), Stochastic processes and financial applications (6 papers), Financial Risk and Volatility Modeling (6 papers), Cancer Research and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Endocrinology (679 citations), Health Informatics (100 citations) and Food Science (851 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, Morris Siu–Yung Jong, Ching Sing Chai, Andreja Istenič Starčič, Jia Liu and Yuan Jing. Their work appears in journals such as Journal of Bacteriology, Microbiology, Molecular Microbiology, Food Research International and Infection and Immunity.

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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