Howard Bloom

548 citations
11 papers · 390 · h-index 6

Impact in

Papers in

    • Early Childhood Education and Development 4
    • School Choice and Performance 2
    • Education Systems and Policy 1
    • Advanced Causal Inference Techniques 2
    • Statistical Methods and Bayesian Inference 1

Howard Bloom

11 papers receiving 308 citations

Peers

Howard Bloom
Comparison fields: 5 of 83
  • Statistics and Probability 68
  • General Psychology 8
  • Education 130
  • Public Administration 12
  • Gender Studies 29
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Citations per year

Countries citing papers authored by Howard Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Howard Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1997142
2
Global Brain: The Evolution of Mass Mind from the Big Bang to the 21st Century
2000109
3 201048
4 201838
5 201129
6
Empirical Issues in the Design of Group-Randomized Studies to Measure the Effects of Interventions for Children
20088
7
Empirical Issues in the Design of Group-Randomized Studies to Measure the Effects of Interventions for Children. MDRC Working Papers on Research Methodology.
20086
8 20243
9 20013
10 20062
11 20202

About Howard Bloom

Howard Bloom is a scholar working on Education, Statistics and Probability, Developmental and Educational Psychology, Geography, Planning and Development and Gender Studies, having authored 11 papers that have together received 390 indexed citations. Recurring topics across this work include Early Childhood Education and Development (4 papers), Advanced Causal Inference Techniques (2 papers), School Choice and Performance (2 papers), Behavioral and Psychological Studies (1 paper), Gender, Labor, and Family Dynamics (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Education Systems and Policy (1 paper). The work is most often cited by research in Statistics and Probability (68 citations), General Psychology (8 citations), Education (130 citations), Public Administration (12 citations) and Gender Studies (29 citations). Howard Bloom has collaborated with scholars based in United States and Russia. Frequent co-authors include Robin Tepper Jacob, Pei Zhu, Larry L. Orr, Vernon M. Briggs, Stephen Bell, Winston T. Lin, George Cave, Fred Doolittle, Zeyu Xu and Avi Feller. Their work appears in journals such as AERA Open, New Ideas in Psychology, Educational Evaluation and Policy Analysis, Journal of Research on Educational Effectiveness and Biosystems.

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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