Michael Haman

478 citations
30 papers · 328 · 1 hit paper · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Social Media and Politics
    • Communication and COVID-19 Impact
    • Public Relations and Crisis Communication

Papers in

Michael Haman

27 papers receiving 316 citations

Michael Haman's Hit Papers

Using ChatGPT to conduct a literature review 2023 · 110 citations
1100+1+2Years since publication255075100

Peers

Michael Haman
Comparison fields: 5 of 61
  • Health Informatics 76
  • Communication 70
  • Information Systems 57
  • Safety Research 28
  • General Social Sciences 7
Replace Luye Bao with:
Luye Bao United States
Maria Y. Rodriguez United States
Kate K. Mays United States
Melissa Laufer Germany
Mohammad Hassanzadeh Iran
Allen Munoriyarwa South Africa
Ho-Chun Herbert Chang United States
Huw Davies United Kingdom
Meg Leta Jones United States
Yujia Zhai China
Michael Haman relative to Luye Bao United States Luye Bao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Haman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Michael Haman, 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 Haman Line = papers co-authored together Michael Haman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using ChatGPT to conduct a literature review
Hit paper breakdown →
2023110
2 202075
3 202325
4 202121
5 202313
6 202312
7 20208
8 20228
9 20197
10 20216
11 20215
12 20235
13 20255
14 20234
15 20233
16 20233
17 20243
18 20243
19 20212
20 20222

About Michael Haman

Michael Haman is a scholar working on Communication, Health Informatics, Political Science and International Relations, Safety Research and General Social Sciences, having authored 30 papers that have together received 328 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (9 papers), Social Media and Politics (7 papers), Artificial Intelligence in Healthcare and Education (5 papers), Ethics and Social Impacts of AI (4 papers), Communication and COVID-19 Impact (3 papers), Political Dynamics in Latin America (3 papers), Academic integrity and plagiarism (2 papers) and Politics and Society in Latin America (2 papers). The work is most often cited by research in Health Informatics (76 citations), Communication (70 citations), Information Systems (57 citations), Safety Research (28 citations) and General Social Sciences (7 citations). Michael Haman has collaborated with scholars based in Czechia, Colombia and Russia. Frequent co-authors include Michal Lošťák. Their work appears in journals such as Political Studies Review, Annals of Biomedical Engineering, Accountability in Research, El Profesional de la Informacion and Resuscitation.

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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