Oded Nov

8.8k citations
148 papers · 5.7k · 3 hit papers · h-index 39

Impact in

Papers in

Oded Nov

141 papers receiving 5.4k citations

Oded Nov's Hit Papers

Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study 2023 · 128 citations
1280+2+4Years since publication250500750

Peers

Oded Nov
Comparison fields: 5 of 168
  • Communication 1.3k
  • Computer Science Applications 980
  • Health Informatics 162
  • Information Systems and Management 548
  • Ecological Modeling 339
Replace Kate Crawford with:
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Maged N. Kamel Boulos United Kingdom
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Judit Bar‐Ilan Israel
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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 148 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 →
2020976
2 2007415
3 2007237
4
Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19
Hit paper breakdown →
2020232
5 2009204
6 2014184
7 2011174
8 2019135
9 2008129
10
Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study
Hit paper breakdown →
2023128
11 2014125
12 2011118
13 2008103
14 201597
15 201587
16 201386
17 200886
18 200976
19 201766
20 201665

About Oded Nov

Oded Nov is a scholar working on Communication, Computer Science Applications, Sociology and Political Science, Human-Computer Interaction and Artificial Intelligence, having authored 148 papers that have together received 5.7k indexed citations. Recurring topics across this work include Open Source Software Innovations (32 papers), Knowledge Management and Sharing (27 papers), Wikis in Education and Collaboration (26 papers), Digital Marketing and Social Media (15 papers), Species Distribution and Climate Change (12 papers), Mobile Crowdsensing and Crowdsourcing (11 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 (1.3k citations), Computer Science Applications (980 citations), Health Informatics (162 citations), Information Systems and Management (548 citations) and Ecological Modeling (339 citations). Oded Nov has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Ofer Arazy, Chen Ye, David Mann, Rumi Chunara, Paul Testa, Ji Chen, Shaul Oreg, Mor Naaman, Maurizio Porfiri and M. Lisa Yeo. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of Medical Internet Research, PLoS ONE, Journal of the Association for Information Systems 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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