Inbal Yahav
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
Papers in
-
- Hate Speech and Cyberbullying Detection 4
-
- Misinformation and Its Impacts 3
- Co-authors
- Galit Shmueli (10 shared papers)David G. Schwartz (15 shared papers)Onn Shehory (1 shared paper)Itai Berger (1 shared paper)Ortal Slobodin (1 shared paper)Nitin Patel (1 shared paper)Peter Bruce (1 shared paper)Kenneth C. Lichtendahl (1 shared paper)
- Journals
- Applied Stochastic Models in Business and Industry (3 papers)Innovation in Aging (2 papers)MIS Quarterly (2 papers)Information Communication & Society (1 paper)Journal of the Association for Information Science and Technology (1 paper)
- Partner nations
- IsraelUnited StatesTaiwan
In The Last Decade
Inbal Yahav
43 papers receiving 548 citations
Peers
Comparison fields: 5 of 124
- Health Informatics 9
- Statistics and Probability 47
- General Decision Sciences 10
- Management Information Systems 42
- Artificial Intelligence 145
Countries citing papers authored by Inbal Yahav
This map shows the geographic impact of Inbal Yahav'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 Inbal Yahav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inbal Yahav more than expected).
Fields of papers citing papers by Inbal Yahav
This network shows the impact of papers produced by Inbal Yahav. 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 Inbal Yahav. The network helps show where Inbal Yahav may publish in the future.
Co-authors
The 25 scholars most cited alongside Inbal Yahav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner | 2016 | 75 |
| 2 | 2018 | 73 | |
| 3 | 2011 | 55 | |
| 4 | 2020 | 51 | |
| 5 | 2023 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2017 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2007 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2010 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2025 | 7 | |
| 20 | 2016 | 7 |
About Inbal Yahav
Inbal Yahav is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Management Science and Operations Research and Marketing, having authored 45 papers that have together received 561 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (4 papers), Spam and Phishing Detection (4 papers), Advanced Causal Inference Techniques (4 papers), Consumer Market Behavior and Pricing (4 papers), Advanced Queuing Theory Analysis (3 papers), Cloud Computing and Resource Management (3 papers), Misinformation and Its Impacts (3 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Health Informatics (9 citations), Statistics and Probability (47 citations), General Decision Sciences (10 citations), Management Information Systems (42 citations) and Artificial Intelligence (145 citations). Inbal Yahav has collaborated with scholars based in Israel, United States and Taiwan. Frequent co-authors include Galit Shmueli, David G. Schwartz, Onn Shehory, Itai Berger, Ortal Slobodin, Nitin Patel, Peter Bruce, Kenneth C. Lichtendahl, Dov Te’eni and Stephen E. Lankenau. Their work appears in journals such as Applied Stochastic Models in Business and Industry, Innovation in Aging, MIS Quarterly, Information Communication & Society and Journal of the Association for Information Science and Technology.
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.