activity
20172023
most citedPublication Patterns' Changes due to the COVID-19 Pandemic: A longitudinal and short-term scientometric analysis

204 citations · 275 across the 15 of their papers we have counts for

collaborators

15 papers

cs.DL2023★ 8 cited

The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles

Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld

Online academic profiles are used by scholars to reflect a desired image to their online audience. In Google Scholar, scholars can select a subset of co-authors for presentation in…

cs.LG2023★ 1 cited

Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics

Elizaveta Savchenko, Ariel Rosenfeld, Svetlana Bunimovich-Mendrazitsky

Cancer is one of the most widespread diseases around the world with millions of new patients each year. Bladder cancer is one of the most prevalent types of cancer affecting all in…

stat.AP2023

Optimizing SMS Reminder Campaigns for Pre- and Post-Diagnosis Cancer Check-Ups using Socio-Demographics: An In-Silco Investigation Into Bladder Cancer

Elizaveta Savchenko, Ariel Rosenfeld, Svetlana Bunimovich-Mendrazitsky

Timely pre- and post-diagnosis check-ups are critical for cancer patients, across all cancer types, as these often lead to better outcomes. Several socio-demographic properties hav…

cs.DL2023★ 4 cited

A Computational Model For Individual Scholars' Writing Style Dynamics

Teddy Lazebnik, Ariel Rosenfeld

A manuscript's writing style is central in determining its readership, influence, and impact. Past research has shown that, in many cases, scholars present a unique writing style t…

cs.LG2023

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies

David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa +17

Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding…

cs.DL2023★ 15 cited

Authorship conflicts in academia: an international cross-discipline survey

Elizaveta Savchenko, Ariel Rosenfeld

Collaboration among scholars has emerged as a significant characteristic of contemporary science. As a result, the number of authors listed in publications continues to rise steadi…

cs.CY2022★ 6 cited

Should Young Computer Scientists Stop Collaborating with their Doctoral Advisors?

Ariel Rosenfeld, Oleg Maksimov

One of the first steps in an academic career, and perhaps the pillar thereof, is completing a PhD under the supervision of a doctoral advisor. While prior work has examined the adv…

cs.MA2022★ 2 cited

Proportional Ranking in Primary Elections: A Case Study

Ariel Rosenfeld, Ehud Shapiro, Nimrod Talmon

Many democratic political parties hold primary elections, which nicely reflects their democratic nature and promote, among other things, the democratic value of inclusiveness. Howe…

cs.MA2021

What Should We Optimize in Participatory Budgeting? An Experimental Study

Ariel Rosenfeld, Nimrod Talmon

Participatory Budgeting (PB) is a process in which voters decide how to allocate a common budget; most commonly it is done by ordinary people -- in particular, residents of some mu…

cs.DL2021★ 15 cited

A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus

Shir Aviv-Reuven, Ariel Rosenfeld

Journal classification into subject categories is an important aspect in scholarly research evaluation as well as in bibliometric analysis. However, this classification is not stan…

cs.DL2020★ 204 cited

Publication Patterns' Changes due to the COVID-19 Pandemic: A longitudinal and short-term scientometric analysis

Shir Aviv-Reuven, Ariel Rosenfeld

In recent months the COVID-19 (also known as SARS-CoV-2 and Coronavirus) pandemic has spread throughout the world. In parallel, extensive scholarly research regarding various aspec…

cs.CY2019★ 10 cited

Big Data Analytics and AI in Mental Healthcare

Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong +14

Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population. The application of Artificial Intelligence (AI) a…

cs.AI2018

Providing Explanations for Recommendations in Reciprocal Environments

Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus

Automated platforms which support users in finding a mutually beneficial match, such as online dating and job recruitment sites, are becoming increasingly popular. These platforms…

cs.AI2018

Leveraging human knowledge in tabular reinforcement learning: A study of human subjects

Ariel Rosenfeld, Moshe Cohen, Matthew E. Taylor +1

Reinforcement Learning (RL) can be extremely effective in solving complex, real-world problems. However, injecting human knowledge into an RL agent may require extensive effort and…

cs.SE2017★ 10 cited

Automation of Android Applications Testing Using Machine Learning Activities Classification

Ariel Rosenfeld, Odaya Kardashov, Orel Zang

Mobile applications are being used every day by more than half of the world's population to perform a great variety of tasks. With the increasingly widespread usage of these applic…