Tom Nadarzynski

2.2k citations
42 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

Tom Nadarzynski

38 papers receiving 1.4k citations

Tom Nadarzynski's Hit Papers

Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study 2019 · 503 citations
5030+2+4Years since publication100200300400500

Peers

Tom Nadarzynski
Comparison fields: 5 of 96
  • Health Informatics 166
  • Applied Psychology 159
  • Health 117
  • Epidemiology 332
  • Social Psychology 203
Replace Ala’a B. Al‐Tammemi with:
Ala’a B. Al‐Tammemi Jordan
Jingwen Zhang United States
Amr Jamal Saudi Arabia
Ayman Al‐Eyadhy Saudi Arabia
Yulin Hswen United States
Elia Gabarrón Norway
Alastair van Heerden South Africa
Fahad Alsohime Saudi Arabia
Fadi Aljamaan Saudi Arabia
Smisha Agarwal United States
Tom Nadarzynski relative to Ala’a B. Al‐Tammemi Jordan Ala’a B. Al‐Tammemi's profile →
Citations per field
00.5×6.4×
Ala’a B. Al‐Tammemi · 1×
Citations per year

Countries citing papers authored by Tom Nadarzynski

Since Specialization
Citations

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

Fields of papers citing papers by Tom Nadarzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study
Hit paper breakdown →
2019503
2 2018155
3 201790
4 201480
5 201756
6 202154
7 202051
8 202149
9 201847
10 202144
11 201943
12 202431
13 201926
14 201825
15 201921
16 202318
17 202113
18 202112
19 201510
20 20199

About Tom Nadarzynski

Tom Nadarzynski is a scholar working on Epidemiology, General Health Professions, Infectious Diseases, Health and Applied Psychology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), HIV/AIDS Research and Interventions (6 papers), Mobile Health and mHealth Applications (4 papers), Digital Mental Health Interventions (4 papers), Adolescent Sexual and Reproductive Health (4 papers), LGBTQ Health, Identity, and Policy (4 papers), Reproductive tract infections research (4 papers) and Genital Health and Disease (3 papers). The work is most often cited by research in Health Informatics (166 citations), Applied Psychology (159 citations), Health (117 citations), Epidemiology (332 citations) and Social Psychology (203 citations). Tom Nadarzynski has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Damien Ridge, Carrie Llewellyn, Alex Pollard, Christina Jones, Daniel Richardson, Helen Smith, Hannah L. Brooks, Fernando Castilho Pelloso, Cynthia A. Graham and Robert West. Their work appears in journals such as International Journal of STD & AIDS, Sexually Transmitted Infections, Sexual Health, Digital Health and The Pediatric Infectious Disease Journal.

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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