Aurel Cami

546 total citations
20 papers, 379 citations indexed

About

Aurel Cami is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Aurel Cami has authored 20 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Computational Theory and Mathematics and 4 papers in Information Systems. Recurrent topics in Aurel Cami's work include Peer-to-Peer Network Technologies (5 papers), Computational Drug Discovery Methods (5 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Aurel Cami is often cited by papers focused on Peer-to-Peer Network Technologies (5 papers), Computational Drug Discovery Methods (5 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Aurel Cami collaborates with scholars based in United States and Australia. Aurel Cami's co-authors include Ben Y. Reis, Alana Arnold, Shannon Manzi, Kenneth D. Mandl, Narsingh Deo, Ahmet E. Topcu, Geoffrey Fox, Mei-Sing Ong, Karen L. Olson and Alfred DeMaria and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Science Translational Medicine.

In The Last Decade

Aurel Cami

19 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aurel Cami United States	10	157	111	79	54	42	20	379
Bethany Percha United States	16	230 1.5×	397 3.6×	51 0.6×	98 1.8×	211 5.0×	25	942
Emily Welebob United States	9	88 0.6×	117 1.1×	196 2.5×	38 0.7×	68 1.6×	15	658
Reza Ferdousi Iran	13	255 1.6×	301 2.7×	17 0.2×	71 1.3×	47 1.1×	34	634
Sanjoy Kumer Dey Bangladesh	13	220 1.4×	245 2.2×	42 0.5×	29 0.5×	117 2.8×	65	728
Hideto Yokoi Japan	10	49 0.3×	54 0.5×	25 0.3×	17 0.3×	123 2.9×	44	343
John Kilbourne United States	6	58 0.4×	193 1.7×	46 0.6×	29 0.5×	124 3.0×	10	386
Alana Arnold United States	11	136 0.9×	91 0.8×	68 0.9×	46 0.9×	18 0.4×	13	441
Louisa Walsh Australia	10	117 0.7×	39 0.4×	308 3.9×	44 0.8×	22 0.5×	30	727
Stephanie J. Reisinger United States	9	62 0.4×	80 0.7×	142 1.8×	12 0.2×	40 1.0×	10	322
Kelly Zeng United States	7	61 0.4×	193 1.7×	42 0.5×	29 0.5×	130 3.1×	12	383

Countries citing papers authored by Aurel Cami

Since Specialization

Citations

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

Fields of papers citing papers by Aurel Cami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurel Cami. 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 Aurel Cami. The network helps show where Aurel Cami may publish in the future.

Co-authorship network of co-authors of Aurel Cami

This figure shows the co-authorship network connecting the top 25 collaborators of Aurel Cami. A scholar is included among the top collaborators of Aurel Cami 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 Aurel Cami. Aurel Cami 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

Homer, Mark, Nathan Palmer, Olivier Bodenreider, et al.. (2016). The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight.. PubMed. 2016. 105–11. 4 indexed citations

Banda, Juan M., Alison Callahan, Rainer Winnenburg, et al.. (2015). Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records. Drug Safety. 39(1). 45–57. 29 indexed citations

Ong, Mei-Sing, Karen L. Olson, Aurel Cami, et al.. (2015). Provider Patient-Sharing Networks and Multiple-Provider Prescribing of Benzodiazepines. Journal of General Internal Medicine. 31(2). 164–171. 40 indexed citations

Tseng, Yi‐Ju, Aurel Cami, Donald A. Goldmann, Alfred DeMaria, & Kenneth D. Mandl. (2015). Using Nation-Wide Health Insurance Claims Data to Augment Lyme Disease Surveillance. Vector-Borne and Zoonotic Diseases. 15(10). 591–596. 18 indexed citations

Tseng, Yi‐Ju, Aurel Cami, Donald A. Goldmann, Alfred DeMaria, & Kenneth D. Mandl. (2015). Incidence and Patterns of Extended-Course Antibiotic Therapy in Patients Evaluated for Lyme Disease. Clinical Infectious Diseases. 61(10). 1536–1542. 14 indexed citations

Cami, Aurel & Ben Y. Reis. (2014). Concordance and predictive value of two adverse drug event data sets. BMC Medical Informatics and Decision Making. 14(1). 74–74. 4 indexed citations

Cami, Aurel, Shannon Manzi, Alana Arnold, & Ben Y. Reis. (2013). Pharmacointeraction Network Models Predict Unknown Drug-Drug Interactions. PLoS ONE. 8(4). e61468–e61468. 62 indexed citations

Watson, Alice J., Julia A. O’Rourke, Kamal Jethwani, et al.. (2011). Linking Electronic Health Record-Extracted Psychosocial Data in Real-Time to Risk of Readmission for Heart Failure. Psychosomatics. 52(4). 319–327. 45 indexed citations

Cami, Aurel, Alana Arnold, Shannon Manzi, & Ben Y. Reis. (2011). Predicting Adverse Drug Events Using Pharmacological Network Models. Science Translational Medicine. 3(114). 114ra127–114ra127. 96 indexed citations

10.

Cami, Aurel, Garrick Wallstrom, & William R. Hogan. (2009). Measuring the effect of commuting on the performance of the Bayesian Aerosol Release Detector. BMC Medical Informatics and Decision Making. 9(S1). S7–S7. 12 indexed citations

11.

Cami, Aurel, et al.. (2008). Mining aggregates of over-the-counter products for syndromic surveillance. Pattern Recognition Letters. 30(3). 255–266. 3 indexed citations

12.

Litow, Bruce, et al.. (2008). Compression of Vertex Transitive Graphs. ResearchOnline at James Cook University (James Cook University).

13.

Cami, Aurel, Garrick Wallstrom, & William R. Hogan. (2008). Effect of commuting on the detection and characterization performance of the Bayesian Aerosol Release Detector. 91–98. 1 indexed citations

14.

Deo, Narsingh & Aurel Cami. (2007). Preferential deletion in dynamic models of web-like networks. Information Processing Letters. 102(4). 156–162. 14 indexed citations

15.

Cami, Aurel & Narsingh Deo. (2007). Techniques for analyzing dynamic random graph models of web‐like networks: An overview. Networks. 51(4). 211–255. 10 indexed citations

16.

Topcu, Ahmet E., et al.. (2007). A novel event-based consistency model for supporting collaborative cyberinfrastructure based scientific research. 8. 271–277. 9 indexed citations

17.

Fox, Geoffrey, et al.. (2007). SRG: A Digital Document-Enhanced Service Oriented Research Grid. 12. 61–66. 8 indexed citations

18.

Topcu, Ahmet E., et al.. (2007). Integration of Collaborative Information Systems in Web 2.0. 4 indexed citations

19.

Topcu, Ahmet E., et al.. (2007). Integration of Collaborative Information Systems in Web 2.0. 29. 523–526. 5 indexed citations

20.

Cami, Aurel, Christine Lisetti, & Maarten Sierhuis. (2003). Accounting for Emotions in Multi-Agent Modeling and Simulation Systems. 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.

Explore authors with similar magnitude of impact