Amar K. Das

4.5k total citations
123 papers, 2.8k citations indexed

About

Amar K. Das is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Amar K. Das has authored 123 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 40 papers in Molecular Biology and 23 papers in Computer Networks and Communications. Recurrent topics in Amar K. Das's work include Semantic Web and Ontologies (43 papers), Biomedical Text Mining and Ontologies (38 papers) and Advanced Database Systems and Queries (20 papers). Amar K. Das is often cited by papers focused on Semantic Web and Ontologies (43 papers), Biomedical Text Mining and Ontologies (38 papers) and Advanced Database Systems and Queries (20 papers). Amar K. Das collaborates with scholars based in United States, Austria and Denmark. Amar K. Das's co-authors include Mark A. Musen, Martin J. O’Connor, Samson W. Tu, Mark Olfson, Myrna M. Weissman, Yuval Shaḥar, Issa Sylla, Roberto Lewis‐Fernández, Yoonyoung Park and Keith E. Campbell and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Amar K. Das

119 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amar K. Das United States	25	968	662	387	361	307	123	2.8k
Jyotishman Pathak United States	40	1.8k 1.9×	1.3k 2.0×	500 1.3×	625 1.7×	361 1.2×	232	5.6k
Angus Roberts United Kingdom	23	1.2k 1.3×	794 1.2×	153 0.4×	117 0.3×	199 0.6×	89	2.4k
Steven R. Steinhubl United States	43	537 0.6×	496 0.7×	232 0.6×	667 1.8×	192 0.6×	172	8.0k
Vasa Ćurčin United Kingdom	29	496 0.5×	441 0.7×	88 0.2×	317 0.9×	200 0.7×	140	3.0k
Jennifer C. Lai United States	51	805 0.8×	325 0.5×	119 0.3×	664 1.8×	187 0.6×	349	9.9k
Mowafa Househ Qatar	38	950 1.0×	114 0.2×	399 1.0×	716 2.0×	474 1.5×	255	5.7k
Leslie Lenert United States	38	296 0.3×	233 0.4×	173 0.4×	616 1.7×	107 0.3×	181	4.2k
Shuang Wang China	32	1.2k 1.3×	564 0.9×	84 0.2×	342 0.9×	260 0.8×	210	3.1k
Ida Sim United States	35	790 0.8×	1.0k 1.6×	107 0.3×	917 2.5×	224 0.7×	112	4.9k
Raymond Bond United Kingdom	30	582 0.6×	87 0.1×	193 0.5×	281 0.8×	138 0.4×	280	3.7k

Countries citing papers authored by Amar K. Das

Since Specialization

Citations

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

Fields of papers citing papers by Amar K. Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amar K. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Amar K. Das. A scholar is included among the top collaborators of Amar K. Das 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 Amar K. Das. Amar K. Das 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

Sharif, Behnam, Gabriel Tremblay, Victoria M. Raymond, et al.. (2024). Population health outcomes of blood-based screening for colorectal cancer in comparison to current screening modalities: insights from a discrete-event simulation model incorporating longitudinal adherence. Journal of Medical Economics. 27(1). 991–1002. 1 indexed citations

Chen, Wansu, Michael Schatz, Yichen Zhou, et al.. (2023). Prediction of persistent chronic cough in patients with chronic cough using machine learning. ERJ Open Research. 9(2). 471–2022. 4 indexed citations

Kujawski, Stephanie, et al.. (2023). Predicting Measles Outbreaks in the United States: Evaluation of Machine Learning Approaches. JMIR Formative Research. 7. e42832–e42832. 1 indexed citations

Seneviratne, Oshani, Amar K. Das, Sabbir M. Rashid, et al.. (2023). Semantically enabling clinical decision support recommendations. Journal of Biomedical Semantics. 14(1). 8–8. 3 indexed citations

Prajapati, Girish, Amar K. Das, Yezhou Sun, & Eileen Fonseca. (2023). Hospitalization Among Patients Treated With Molnupiravir: A Retrospective Study of Administrative Data. Clinical Therapeutics. 45(10). 957–964. 1 indexed citations

Das, Amar K., et al.. (2022). Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. IEEE Journal of Biomedical and Health Informatics. 27(2). 1084–1095. 4 indexed citations

Ganoe, Craig H., Paul Barr, William Haslett, et al.. (2021). Natural language processing for automated annotation of medication mentions in primary care visit conversations. JAMIA Open. 4(3). ooab071–ooab071. 7 indexed citations

Gruen, Daniel M., et al.. (2021). Quantifying representativeness in randomized clinical trials using machine learning fairness metrics. JAMIA Open. 4(3). ooab077–ooab077. 16 indexed citations

Barr, Paul, William Haslett, Michelle D Dannenberg, et al.. (2021). An Audio Personal Health Library of Clinic Visit Recordings for Patients and Their Caregivers (HealthPAL): User-Centered Design Approach. Journal of Medical Internet Research. 23(10). e25512–e25512. 8 indexed citations

10.

Gruen, Daniel M., et al.. (2020). Visualizing Inequities in Clinical Trials using ML Fairness Metrics.. AMIA. 1 indexed citations

11.

Kim, Sunny Jung, Lisa A. Marsch, Jeffrey T. Hancock, & Amar K. Das. (2017). Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research. 19(10). e353–e353. 57 indexed citations

12.

Kao, David, et al.. (2012). Consequences of Federal Patient Transfer Regulations: Effect of the 2003 EMTALA Revision on a Tertiary Referral Center and Evidence of Possible Misuse. Archives of Internal Medicine. 172(11). 891–2. 13 indexed citations

13.

O’Connor, Martin J. & Amar K. Das. (2012). A Pair of OWL 2 RL Reasoners.. 5 indexed citations

14.

Waldinger, Richard, Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, & Amar K. Das. (2011). Accessing Structured Health Information through English Queries and Automatic Deduction. National Conference on Artificial Intelligence. 5 indexed citations

15.

Bridewell, Will, et al.. (2011). Alignment and clustering of breast cancer patients by longitudinal treatment history.. PubMed Central. 5 indexed citations

16.

O’Connor, Martin J., et al.. (2011). SWEETInfo: a Web-Based System for Visualizing and Querying Temporal Data.. 1 indexed citations

17.

Hassanpour, Saeed, Martin J. O’Connor, & Amar K. Das. (2009). A Rule Management and Elicitation Tool for SWRL Rule Bases.. 1 indexed citations

18.

O’Connor, Martin J., Ravi Shankar, Csongor Nyulas, Samson W. Tu, & Amar K. Das. (2008). Developing a Web-Based Application using OWL and SWRL.. National Conference on Artificial Intelligence. 93–98. 21 indexed citations

19.

O’Connor, Martin J., Ravi Shankar, Mark A. Musen, Amar K. Das, & Csongor Nyulas. (2008). The SWRLAPI: A Development Environment for Working with SWRL Rules.. 16 indexed citations

20.

Xu, Rong, Kaustubh Supekar, Yang Huang, Amar K. Das, & Alan M. Garber. (2006). Combining Text Classification and Hidden Markov Modeling Techniques for Structuring Randomized Clinical Trial Abstracts. Europe PMC (PubMed Central). 2006. 824. 20 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.

Explore authors with similar magnitude of impact