Anamaria Crisan

2.9k total citations
26 papers, 500 citations indexed

About

Anamaria Crisan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Anamaria Crisan has authored 26 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Information Systems and Management. Recurrent topics in Anamaria Crisan's work include Data Visualization and Analytics (12 papers), Scientific Computing and Data Management (7 papers) and Data Analysis with R (6 papers). Anamaria Crisan is often cited by papers focused on Data Visualization and Analytics (12 papers), Scientific Computing and Data Management (7 papers) and Data Analysis with R (6 papers). Anamaria Crisan collaborates with scholars based in Canada, United States and United Kingdom. Anamaria Crisan's co-authors include Jennifer L. Gardy, Tamara Munzner, Martin Hirst, Gavin Ha, Sohrab P. Shah, Marco A. Marra, Samuel Aparício, Ryan D. Morin, Melanie Tory and Brittany Fiore-Gartland and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Anamaria Crisan

23 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anamaria Crisan Canada 11 211 176 143 66 66 26 500
Peter Yang United States 11 242 1.1× 90 0.5× 54 0.4× 32 0.5× 52 0.8× 26 686
Shikhar Sharma United States 16 811 3.8× 142 0.8× 123 0.9× 62 0.9× 197 3.0× 28 1.2k
Andreas Dander Austria 7 344 1.6× 134 0.8× 214 1.5× 8 0.1× 27 0.4× 10 518
Markéta Tomková United Kingdom 11 533 2.5× 173 1.0× 99 0.7× 24 0.4× 95 1.4× 24 823
Yuan Xiong United States 10 296 1.4× 72 0.4× 30 0.2× 40 0.6× 19 0.3× 29 637
Johanna McEntyre United Kingdom 17 563 2.7× 53 0.3× 98 0.7× 5 0.1× 101 1.5× 35 835
Emma Dyer United States 11 132 0.6× 20 0.1× 73 0.5× 10 0.2× 190 2.9× 23 726
John Blischak United States 9 544 2.6× 103 0.6× 145 1.0× 7 0.1× 28 0.4× 17 753
Meihong Zheng China 11 149 0.7× 88 0.5× 70 0.5× 24 0.4× 14 0.2× 31 379
Jonathan Chan United States 11 403 1.9× 64 0.4× 39 0.3× 19 0.3× 92 1.4× 22 680

Countries citing papers authored by Anamaria Crisan

Since Specialization
Citations

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

Fields of papers citing papers by Anamaria Crisan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anamaria Crisan

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

All Works

20 of 20 papers shown
1.
2.
Crisan, Anamaria, et al.. (2025). Probing the Visualization Literacy of Vision Language Models: The Good, the Bad, and the Ugly. IEEE Transactions on Visualization and Computer Graphics. 32(1). 1175–1185.
3.
Crisan, Anamaria, et al.. (2025). Data Has Entered the Chat: How Data Workers Conduct Exploratory Visual Analytic Conversations with GenAI Agents. ACM Transactions on Interactive Intelligent Systems. 15(4). 1–40.
4.
Srinivasan, Arjun, et al.. (2024). From Dashboard Zoo to Census: A Case Study With Tableau Public. IEEE Transactions on Visualization and Computer Graphics. 31(9). 6085–6099. 1 indexed citations
5.
Crisan, Anamaria, et al.. (2024). Groot: A System for Editing and Configuring Automated Data Insights. 36–40. 1 indexed citations
6.
Crisan, Anamaria. (2024). We Don't Know How to Assess LLM Contributions in VIS/HCI. 115–118. 1 indexed citations
7.
Crisan, Anamaria, et al.. (2023). Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work. 1–22. 4 indexed citations
8.
Crisan, Anamaria, Margaret Drouhard, Jesse Vig, & Nazneen Fatema Rajani. (2022). Interactive Model Cards: A Human-Centered Approach to Model Documentation. arXiv (Cornell University). 427–439. 52 indexed citations
9.
Crisan, Anamaria, et al.. (2021). GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4855–4872. 5 indexed citations
10.
Crisan, Anamaria, Brittany Fiore-Gartland, & Melanie Tory. (2020). Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers. IEEE Transactions on Visualization and Computer Graphics. 27(2). 1860–1870. 30 indexed citations
11.
Crisan, Anamaria & Tamara Munzner. (2019). Uncovering Data Landscapes through Data Reconnaissance and Task Wrangling. 46–50. 7 indexed citations
12.
Crisan, Anamaria, Jennifer L. Gardy, & Tamara Munzner. (2018). A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT. Bioinformatics. 35(10). 1668–1676. 12 indexed citations
13.
Crisan, Anamaria, Tamara Munzner, & Jennifer L. Gardy. (2018). Adjutant: an R-based tool to support topic discovery for systematic and literature reviews. Bioinformatics. 35(6). 1070–1072. 12 indexed citations
14.
Crisan, Anamaria, Geoffrey McKee, Tamara Munzner, & Jennifer L. Gardy. (2018). Evidence-based design and evaluation of a whole genome sequencing clinical report for the reference microbiology laboratory. PeerJ. 6. e4218–e4218. 34 indexed citations
15.
16.
Didelot, Xavier, Sue Pollock, Patrick Tang, et al.. (2016). Declaring a tuberculosis outbreak over with genomic epidemiology. Microbial Genomics. 2(5). e000060–e000060. 23 indexed citations
17.
Crisan, Anamaria, James C. Johnston, Patrick Tang, et al.. (2015). Spatio-temporal analysis of tuberculous infection risk among clients of a homeless shelter during an outbreak. The International Journal of Tuberculosis and Lung Disease. 19(9). 1033–1038. 10 indexed citations
18.
Crisan, Anamaria, Rodrigo Goya, Gavin Ha, et al.. (2012). Mutation Discovery in Regions of Segmental Cancer Genome Amplifications with CoNAn-SNV: A Mixture Model for Next Generation Sequencing of Tumors. PLoS ONE. 7(8). e41551–e41551. 4 indexed citations
19.
Goya, Rodrigo, Mark Sun, Ryan D. Morin, et al.. (2010). SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. Bioinformatics. 26(6). 730–736. 145 indexed citations
20.
Țățulescu, D., et al.. (2010). An update on human trichinellosis in Romania - a 15 years retrospective study on the epidemiology and clinical signs. 11(1). 51–54. 2 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.

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