Oded Nov

8.9k citations
150 papers · 6.2k · 3 hit papers · h-index 40

Impact in

Papers in

Oded Nov

145 papers receiving 5.9k citations

Oded Nov's Hit Papers

Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study 2023 · 143 citations
1430+2+4Years since publication2505007501000

Peers

Oded Nov
Comparison fields: 5 of 171
  • Communication 1.4k
  • Computer Science Applications 1.1k
  • Health Informatics 185
  • Ecological Modeling 363
  • Information Systems and Management 591
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Citations per field
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Citations per year

Countries citing papers authored by Oded Nov

Since Specialization
Citations

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

Fields of papers citing papers by Oded Nov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 transforms health care through telemedicine: Evidence from the field
Hit paper breakdown →
20201048
2 2007438
3
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
Hit paper breakdown →
2020256
4 2007238
5 2009216
6 2014203
7 2011179
8 2019148
9 2014146
10
Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study
Hit paper breakdown →
2023143
11 2008139
12 2011127
13 2008113
14 2015112
15 2008102
16 201394
17 200985
18 201780
19 201668
20 201167

About Oded Nov

Oded Nov is a scholar working on Communication, Computer Science Applications, Human-Computer Interaction, Information Systems and Management and Ecological Modeling, having authored 150 papers that have together received 6.2k indexed citations. Recurring topics across this work include Open Source Software Innovations (33 papers), Knowledge Management and Sharing (29 papers), Wikis in Education and Collaboration (28 papers), Digital Marketing and Social Media (15 papers), Species Distribution and Climate Change (11 papers), Mobile Crowdsensing and Crowdsourcing (10 papers), Technology Adoption and User Behaviour (10 papers) and Innovative Human-Technology Interaction (10 papers). The work is most often cited by research in Communication (1.4k citations), Computer Science Applications (1.1k citations), Health Informatics (185 citations), Ecological Modeling (363 citations) and Information Systems and Management (591 citations). Oded Nov has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Chen Ye, Ofer Arazy, David Mann, Rumi Chunara, Paul A Testa, Ji Chen, Mor Naaman, Shaul Oreg, Maurizio Porfiri and Melanie Yeo. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of Medical Internet Research, Journal of the Association for Information Systems, PLoS ONE and Communications of the ACM.

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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