Anind K. Dey

31.2k total citations · 7 hit papers
266 papers, 15.4k citations indexed

About

Anind K. Dey is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Information Systems and Management. According to data from OpenAlex, Anind K. Dey has authored 266 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Vision and Pattern Recognition, 55 papers in Human-Computer Interaction and 52 papers in Information Systems and Management. Recurrent topics in Anind K. Dey's work include Context-Aware Activity Recognition Systems (90 papers), Personal Information Management and User Behavior (52 papers) and Innovative Human-Technology Interaction (29 papers). Anind K. Dey is often cited by papers focused on Context-Aware Activity Recognition Systems (90 papers), Personal Information Management and User Behavior (52 papers) and Innovative Human-Technology Interaction (29 papers). Anind K. Dey collaborates with scholars based in United States, United Kingdom and Finland. Anind K. Dey's co-authors include Gregory D. Abowd, Daniel Salber, Brian D. Ziebart, J. Andrew Bagnell, Jennifer Mankoff, Brian Y. Lim, Andrew L. Maas, SeungJun Kim, Denzil Ferreira and Louise Barkhuus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Anind K. Dey

260 papers receiving 14.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding and Using Context

2001 2.8k citations Anind K. Dey profile →
A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications

2001 1.7k citations Anind K. Dey et al. profile →
Maximum Entropy Inverse Reinforcement Learning

2018 795 citations Brian D. Ziebart, Andrew L. Maas et al. profile →
The context toolkit

1999 685 citations Anind K. Dey et al. profile →
Smart Devices are Different

2015 479 citations Anind K. Dey et al. profile →
AWARE: Mobile Context Instrumentation Framework

2015 274 citations Denzil Ferreira, Anind K. Dey et al. profile →
Mental-LLM

2024 78 citations Xuhai Xu, Bingsheng Yao et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies profile →

Peers

Countries citing papers authored by Anind K. Dey

Since Specialization

Citations

This map shows the geographic impact of Anind K. Dey'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 Anind K. Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anind K. Dey more than expected).

Fields of papers citing papers by Anind K. Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anind K. Dey. 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 Anind K. Dey. The network helps show where Anind K. Dey may publish in the future.

Co-authorship network of co-authors of Anind K. Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Anind K. Dey. A scholar is included among the top collaborators of Anind K. Dey 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 Anind K. Dey. Anind K. Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Mental-LLM breakdown → 2024 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K. Dey, Dakuo Wang	78
2	Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study 2024 ·PubMed ·(unknown), (unknown), Janine M. Dutcher, Michael Tumminia, Daniella K. Villalba, Sheldon Cohen, J. David Creswell, Kasey G. Creswell, Jennifer Mankoff, Anind K. Dey, Afsaneh Doryab	0
3	FairComp: 2nd International Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing 2024 ·VBN Forskningsportal (Aalborg Universitet) ·(unknown), Dimitris Spathis, Marios Constantinides, (unknown), (unknown), Niels van Berkel, Anind K. Dey	1
4	Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior 2022 ·Future Generation Computer Systems ·(unknown), Whitney R. Ringwald, Julio Vega, (unknown), Sang Won Bae, Anind K. Dey, Carissa A. Low, Aidan G.C. Wright, Afsaneh Doryab	12
5	Impact of Online Learning in the Context of COVID-19 on Undergraduates with Disabilities and Mental Health Concerns 2022 ·ACM Transactions on Accessible Computing ·(unknown), Margaret E. Morris, Paula S. Nurius, Kelly Mack, Jennifer Brown, Kevin S. Kuehn, Yasaman S. Sefidgar, Xuhai Xu, E.A. Riskin, Anind K. Dey, Jennifer Mankoff	9
6	GLOBEM 2022 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Xuhai Xu, (unknown), (unknown), Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, E.A. Riskin, Shwetak Patel, Tim Althoff, Andrew T. Campbell, Anind K. Dey, Jennifer Mankoff	47
7	A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Pilot Randomized Controlled Trial 2022 ·SHILAP Revista de lepidopterología ·Carissa A. Low, (unknown), (unknown), Julio Vega, (unknown), (unknown), (unknown), (unknown), Susan M. Sereika, David L. Bartlett, Dana H. Bovbjerg, Anind K. Dey, John M. Jakicic	7
8	Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping 2022 ·JMIR Mental Health ·Prerna Chikersal, (unknown), (unknown), (unknown), (unknown), Anind K. Dey, Mayank Goel, Zongqi Xia	12
9	Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study 2021 ·JMIR Cancer ·Carissa A. Low, (unknown), Julio Vega, (unknown), Denzil Ferreira, Vernissia Tam, Melissa E. Hogg, Herbert J. Zeh, Afsaneh Doryab, Anind K. Dey	21
10	College from home during COVID-19: A mixed-methods study of heterogeneous experiences 2021 ·PLoS ONE ·Margaret E. Morris, Kevin S. Kuehn, Jennifer Brown, Paula S. Nurius, (unknown), Yasaman S. Sefidgar, Xuhai Xu, E.A. Riskin, Anind K. Dey, Sunny Consolvo, Jennifer Mankoff	32
11	A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study 2020 ·PubMed ·Carissa A. Low, (unknown), (unknown), (unknown), (unknown), (unknown), David L. Bartlett, Dana H. Bovbjerg, Anind K. Dey, John M. Jakicic	32
12	Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study 2020 ·JMIR mhealth and uhealth ·Tammy Chung, Sang Won Bae, Eun‐Young Mun, Brian Suffoletto, (unknown), (unknown), Anind K. Dey	11
13	Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data 2019 ·JMIR mhealth and uhealth ·Afsaneh Doryab, Daniella K. Villalba, Prerna Chikersal, Janine M. Dutcher, Michael Tumminia, (unknown), Sheldon Cohen, Kasey G. Creswell, Jennifer Mankoff, J. David Creswell, Anind K. Dey	96
14	Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study 2017 ·Journal of Medical Internet Research ·Carissa A. Low, Anind K. Dey, Denzil Ferreira, Thomas W. Kamarck, Weijing Sun, Sang Won Bae, Afsaneh Doryab	50
15	The effects of aging and stimulus duration on face identification accuracy with differing viewpoints 2010 ·Journal of Vision ·Anind K. Dey, (unknown), Patrick Bennett, Allison B. Sekuler	2
16	Human Behavior Modeling with Maximum Entropy Inverse Optimal Control 2009 ·National Conference on Artificial Intelligence ·Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey	31
17	Online selection of mediated and domain-specific predictions for improved recommender systems 2009 ·Stephanie Rosenthal, Manuela Veloso, Anind K. Dey	1
18	Asking Questions and Developing Trust 2009 ·National Conference on Artificial Intelligence ·Stephanie Rosenthal, Manuela Veloso, Anind K. Dey	1
19	Modeling and using context : 5th International and Interdisciplinary Conference, CONTEXT 2005, Paris, France, July 5-8, 2005 : proceedings 2005 ·Springer eBooks ·(unknown), Anind K. Dey, Boicho Kokinov, David Leake, Roy M. Turner	2
20	Location-Based Services for Mobile Telephony: a study of users' privacy concerns 2003 ·IT University Of Copenhagen (IT University of Copenhagen) ·Louise Barkhuus, Anind K. Dey	282

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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