Inbal Yahav

943 total citations
45 papers, 538 citations indexed

About

Inbal Yahav is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Inbal Yahav has authored 45 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Sociology and Political Science and 10 papers in Information Systems. Recurrent topics in Inbal Yahav's work include Spam and Phishing Detection (4 papers), Hate Speech and Cyberbullying Detection (4 papers) and Advanced Causal Inference Techniques (4 papers). Inbal Yahav is often cited by papers focused on Spam and Phishing Detection (4 papers), Hate Speech and Cyberbullying Detection (4 papers) and Advanced Causal Inference Techniques (4 papers). Inbal Yahav collaborates with scholars based in Israel, United States and Taiwan. Inbal Yahav's co-authors include Galit Shmueli, David G. Schwartz, Onn Shehory, Itai Berger, Ortal Slobodin, Nitin Patel, Peter Bruce, Kenneth C. Lichtendahl, Liat Ayalon and Alexis M. Roth and has published in prestigious journals such as PLoS ONE, Management Science and MIS Quarterly.

In The Last Decade

Inbal Yahav

42 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inbal Yahav Israel 12 145 79 70 47 46 45 538
Kamran Sedig Canada 18 212 1.5× 131 1.7× 111 1.6× 35 0.7× 27 0.6× 84 994
Dhanya Pramod India 12 303 2.1× 75 0.9× 186 2.7× 44 0.9× 46 1.0× 78 819
Valerie L. Shalin United States 17 269 1.9× 180 2.3× 86 1.2× 9 0.2× 31 0.7× 90 781
Alexander Nikolaev United States 17 94 0.6× 142 1.8× 88 1.3× 46 1.0× 72 1.6× 61 756
Aleksandra Slavković United States 15 426 2.9× 111 1.4× 64 0.9× 105 2.2× 55 1.2× 50 795
Chantal D. Larose United States 5 145 1.0× 37 0.5× 104 1.5× 9 0.2× 20 0.4× 9 515
Piotr Bródka Poland 15 195 1.3× 115 1.5× 86 1.2× 8 0.2× 56 1.2× 52 794
Isola Ajiferuke Canada 15 85 0.6× 39 0.5× 165 2.4× 13 0.3× 21 0.5× 42 708
Vijay Mago Canada 15 465 3.2× 101 1.3× 87 1.2× 7 0.1× 92 2.0× 89 992
Kiran Khatter India 8 445 3.1× 42 0.5× 140 2.0× 13 0.3× 60 1.3× 23 923

Countries citing papers authored by Inbal Yahav

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Inbal Yahav

This figure shows the co-authorship network connecting the top 25 collaborators of Inbal Yahav. A scholar is included among the top collaborators of Inbal Yahav based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inbal Yahav. Inbal Yahav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Te’eni, Dov, Inbal Yahav, & David G. Schwartz. (2025). What it takes to control AI by design: human learning. AI & Society. 41(1). 237–250.
2.
Te’eni, Dov, et al.. (2025). Human–AI Enhancement of Cyber Threat Intelligence. International Journal of Information Security. 24(2). 2 indexed citations
3.
Wang, Yingfei, Inbal Yahav, & Balaji Padmanabhan. (2023). Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19. Information Systems Research. 35(1). 120–144. 3 indexed citations
4.
Te’eni, Dov, et al.. (2023). Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification. Management Science. 72(1). 167–192. 32 indexed citations
5.
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7.
Yahav, Inbal, et al.. (2022). HeBERT and HebEMO: A Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. arXiv (Cornell University). 1(1). 81–95. 13 indexed citations
8.
Galore-Haskel, Gilli, Eyal Greenberg, Inbal Yahav, et al.. (2020). microRNA expression patterns in tumor infiltrating lymphocytes are strongly associated with response to adoptive cell transfer therapy. Cancer Immunology Immunotherapy. 70(6). 1541–1555. 6 indexed citations
9.
Slobodin, Ortal, Inbal Yahav, & Itai Berger. (2020). A Machine-Based Prediction Model of ADHD Using CPT Data. Frontiers in Human Neuroscience. 14. 560021–560021. 49 indexed citations
10.
Schwartz, David G., Janna Ataiants, Alexis M. Roth, et al.. (2020). Layperson reversal of opioid overdose supported by smartphone alert: A prospective observational cohort study. EClinicalMedicine. 25. 100474–100474. 33 indexed citations
11.
Yahav, Inbal, et al.. (2019). The journey to engaged customer community: Evidential social CRM maturity model in Twitter. Applied Stochastic Models in Business and Industry. 36(3). 397–416. 2 indexed citations
12.
Ayalon, Liat & Inbal Yahav. (2019). Location, location, location: Close ties among older continuing care retirement community residents. PLoS ONE. 14(11). e0225554–e0225554. 6 indexed citations
13.
Yahav, Inbal, Onn Shehory, & David G. Schwartz. (2018). Comments Mining With TF-IDF: The Inherent Bias and Its Removal. IEEE Transactions on Knowledge and Data Engineering. 31(3). 437–450. 73 indexed citations
14.
Yahav, Inbal, et al.. (2018). The Information Content of Multiword #Hashtags. Journal of the Association for Information Systems. 1 indexed citations
15.
Yahav, Inbal & David G. Schwartz. (2017). Citizen engagement and the illusion of secrecy: exploring commenter characteristics in censored online news articles. Information Communication & Society. 21(11). 1620–1638. 1 indexed citations
16.
Conti, Mauro, et al.. (2017). The insider on the outside: a novel system for the detection of information leakers in social networks. European Journal of Information Systems. 27(4). 470–485. 10 indexed citations
17.
Shmueli, Galit, Peter Bruce, Inbal Yahav, Nitin Patel, & Kenneth C. Lichtendahl. (2016). Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner. 75 indexed citations
18.
Yahav, Inbal, Itir Karaesmen, & Louiqa Raschid. (2013). Managing on-demand computing services with heterogeneous customers. Winter Simulation Conference. 5–16. 1 indexed citations
19.
Lieberman, Michael D., et al.. (2010). Visual Exploration across Biomedical Databases. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 536–550. 8 indexed citations
20.
Yahav, Inbal & Galit Shmueli. (2007). An Elegant Method for Generating Multivariate Poisson Data. arXiv (Cornell University). 1 indexed citations

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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