Rumi Chunara
#98,027
Most Influential Person Now
American computer scientist
Rumi Chunara's AcademicInfluence.com Rankings
Rumi Chunaracomputer-science Degrees
Computer Science
#8934
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#9390
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Informatics
#82
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#87
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Data Science
#326
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#334
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Database
#9124
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#9595
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Computer Science
Rumi Chunara's Degrees
- PhD Computer Science Columbia University
- Masters Computer Science Columbia University
- Bachelors Computer Science Columbia University
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Why Is Rumi Chunara Influential?
(Suggest an Edit or Addition)According to Wikipedia, Rumi Chunara is a computer scientist who is an associate professor of biostatistics at the New York University School of Global Public Health. She develops computational and statistical approaches to acquire, integrate and make use of data improve population-level public health.
Rumi Chunara's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- COVID-19 transforms health care through telemedicine: Evidence from the field (2020) (816)
- Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. (2012) (428)
- Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting (2010) (247)
- Monitoring Influenza Epidemics in China with Search Query from Baidu (2013) (226)
- Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. (2015) (165)
- Telemedicine and healthcare disparities: a cohort study in a large healthcare system in New York City during COVID-19 (2020) (142)
- A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives (2014) (136)
- Public health for the people: participatory infectious disease surveillance in the digital age (2014) (126)
- Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2020) (106)
- Twitter as a Sentinel in Emergency Situations: Lessons from the Boston Marathon Explosions (2013) (101)
- Characterizing Sleep Issues Using Twitter (2015) (83)
- Assessing the Online Social Environment for Surveillance of Obesity Prevalence (2013) (70)
- Suspended microchannel resonators with piezoresistive sensors. (2011) (70)
- Flu Near You: An Online Self-reported Influenza Surveillance System in the USA (2013) (67)
- Using search queries for malaria surveillance, Thailand (2013) (63)
- Phased array systems in silicon (2004) (61)
- Machine learning and algorithmic fairness in public and population health (2021) (54)
- Fairness Violations and Mitigation under Covariate Shift (2019) (50)
- Preventing Pandemics Via International Development: A Systems Approach (2012) (49)
- Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System (2017) (48)
- Online reporting for malaria surveillance using micro-monetary incentives, in urban India 2010-2011 (2012) (47)
- Estimating influenza attack rates in the United States using a participatory cohort (2015) (47)
- New technologies for reporting real-time emergent infections (2012) (45)
- Why We Need Crowdsourced Data in Infectious Disease Surveillance (2013) (37)
- Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet (2014) (34)
- Assessing Behavior Stage Progression From Social Media Data (2017) (34)
- Surveillance of Acute Respiratory Infections Using Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing (2015) (28)
- Denominator Issues for Personally Generated Data in Population Health Monitoring. (2017) (25)
- Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS (2018) (22)
- High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data (2017) (21)
- Averting the perfect storm: addressing youth substance use risk from social media use. (2014) (19)
- Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities (2019) (17)
- Network inference from multimodal data: A review of approaches from infectious disease transmission (2016) (16)
- Mass-based readout for agglutination assays (2007) (16)
- Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions. (2013) (14)
- No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity (2020) (14)
- Deep Landscape Features for Improving Vector-borne Disease Prediction (2019) (13)
- Social Determinants in Machine Learning Cardiovascular Disease Prediction Models: A Systematic Review. (2021) (13)
- Fair Predictors under Distribution Shift (2019) (11)
- Causal Multi-level Fairness (2020) (11)
- Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study (2020) (10)
- Socio-spatial Self-organizing Maps (2018) (10)
- Etiology of respiratory tract infections in the community and clinic in Ilorin, Nigeria (2017) (10)
- Quantitative methods for measuring neighborhood characteristics in neighborhood health research (2018) (10)
- Laboratory for Human and Machine Haptics (2003) (10)
- Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database (2021) (9)
- Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning (2019) (8)
- Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes (2018) (8)
- Impact of COVID-19 forecast visualizations on pandemic risk perceptions (2021) (7)
- Using Contextual Information to Improve Blood Glucose Prediction (2019) (6)
- Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19 (2020) (6)
- Role of the Built and Online Social Environments on Expression of Dining on Instagram (2020) (6)
- From the User to the Medium: Neural Profiling Across Web Communities (2018) (6)
- Predicting Acute Respiratory Infections from Participatory Data (2017) (5)
- Quantifying the impact of dengue containment activities using high-resolution observational data (2018) (4)
- Segmenting across places: The need for fair transfer learning with satellite imagery (2022) (4)
- Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes (2020) (4)
- Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts (2018) (3)
- Daily Microaggressions and Mood in a Community-Based Sample of Young Gay and Bisexual Men: A Focus on Within-Person Daily Processes (2019) (3)
- Machine Learning for Integrating Social Determinants in Cardiovascular Disease Prediction Models: A Systematic Review (2020) (3)
- Evidence for Telemedicine’s Ongoing Transformation of Health Care Delivery Since the Onset of COVID-19: Retrospective Observational Study (2022) (3)
- What Do People Tweet When They ’ re Sick ? A Preliminary Comparison of Symptom Reports and Twitter Timelines (2018) (3)
- Participatory disease surveillance in Latin America (2013) (3)
- Online reporting for malaria surveillance using micro-monetary incentives, in urban India 2010-2011 (2012) (2)
- Quantifying the localized relationship between vector containment activities and dengue incidence in a real-world setting: A spatial and time series modelling analysis based on geo-located data from Pakistan (2020) (2)
- Creating full individual-level location timelines from sparse social media data (2017) (2)
- Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health. (2022) (2)
- Data science in public health: building next generation capacity (2022) (1)
- Electronic readout of microchannel resonators for precision mass sensing in solution by Rumi Chunara. (2010) (1)
- Quantifying depression-related language on social media during the COVID-19 pandemic (2022) (1)
- Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media (2017) (1)
- Using search queries for malaria surveillance, Thailand (2013) (1)
- Individualized formative assessment in online module improves learning of glomerular filtration (2007) (1)
- Machine Learning in Population and Public Health (2020) (1)
- Using Sparse Digital Traces to Fill in Individual Level Mobility Timelines (2017) (1)
- International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance (2011) (1)
- Population-aware Hierarchical Bayesian Domain Adaptation (2018) (1)
- Discrimination is associated with C-reactive protein among young sexual minority men (2021) (1)
- Quantifying Depressed Social Media During COVID-19: Information Retrieval With ML & NLP (2020) (0)
- Do geographic trends of social media indicate risk of secondary infectious disease outbreaks (2011) (0)
- ICWSM 2022 Workshop on Data for the Wellbeing of Most Vulnerable: Global Problems, Local Solutions (2022) (0)
- Fair contrastive pre-training for geographic images (2022) (0)
- FluNearYou:CrowdsourcedSymptomReportingSpanning 2InfluenzaSeasons (2015) (0)
- Methodological improvements in social vulnerability index construction reinforce role of wealth across international contexts (2023) (0)
- First Feasibility of a Surveillance Platform Combining Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing (2014) (0)
- Is there a need for graduate-level programmes in health data science? A perspective from Pakistan. (2023) (0)
- Etiology of respiratory tract infections in the community and clinic in Ilorin, Nigeria (2017) (0)
- Publisher Correction: Impact of COVID-19 forecast visualizations on pandemic risk perceptions (2022) (0)
- Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media (2019) (0)
- SUSPENDED MICROCHANNEL RESONATORS WITH INTEGRATED ELECTRONIC READOUT FOR BIOMOLECULAR AND SINGLE CELL ANALYSIS (2007) (0)
- NEIGHBORHOOD-LEVEL SOCIOECONOMIC STATUS AND PRESCRIPTION FILL PATTERNS FOR GUIDELINE DIRECTED MEDICAL THERAPY AMONG PATIENTS WITH HEART FAILURE (2023) (0)
- Abstract 39: Association Between Copay Amount And Medication Adherence For Angiotensin Receptor Neprilysin Inhibitors In Patients With Heart Failure (2022) (0)
- Low-noise electronic readout for high-throughput, portable biomolecular detection in microchannel arrays (2006) (0)
- Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube (2022) (0)
- Association of U.S. birth, duration of residence in the U.S., and atherosclerotic cardiovascular disease risk factors among Asian adults (2022) (0)
- Effects of COVID-19 Uncertainty Visualizations on Novice Risk Estimates (2021) (0)
- National cervical cancer burden estimation through systematic review and analysis of publicly available data in Pakistan (2023) (0)
- Is virtual care the new normal? Evidence supporting Covid-19's durable transformation on healthcare delivery (2022) (0)
- Sequential Design of Experiments with Unknown Covariates (2020) (0)
- Association Between Copayment Amount and Filling of Medications for Angiotensin Receptor Neprilysin Inhibitors in Patients With Heart Failure (2022) (0)
- New data paradigms: From the crowd and back (2017) (0)
- ICWSM 2021 Workshop on Data for the Wellbeing of Most Vulnerable: Promises and Challenges (2021) (0)
- Structural racism and homophobia evaluated through social media sentiment combined with activity spaces and associations with mental health among young sexual minority men. (2023) (0)
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