Sean Kandel

989 total citations
10 papers, 644 citations indexed

About

Sean Kandel is a scholar working on Management Science and Operations Research, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Sean Kandel has authored 10 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Infectious Diseases. Recurrent topics in Sean Kandel's work include Data Quality and Management (5 papers), Data Visualization and Analytics (4 papers) and Big Data and Business Intelligence (2 papers). Sean Kandel is often cited by papers focused on Data Quality and Management (5 papers), Data Visualization and Analytics (4 papers) and Big Data and Business Intelligence (2 papers). Sean Kandel collaborates with scholars based in United States, Switzerland and Italy. Sean Kandel's co-authors include Jeffrey Heer, Joseph M. Hellerstein, Andreas Paepcke, Jessie Kennedy, Paolo Buono, Frank van Ham, Nathalie Henry Riche, Catherine Plaisant, Dominique Brodbeck and Chris Weaver and has published in prestigious journals such as Journal of Clinical Microbiology, IEEE Transactions on Visualization and Computer Graphics and Information Visualization.

In The Last Decade

Sean Kandel

10 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Kandel United States 8 272 214 154 145 126 10 644
Marino Segnan Italy 10 110 0.4× 181 0.8× 82 0.5× 52 0.4× 334 2.7× 37 554
Krist Wongsuphasawat United States 14 587 2.2× 282 1.3× 52 0.3× 61 0.4× 83 0.7× 19 871
Madian Khabsa United States 17 101 0.4× 468 2.2× 99 0.6× 128 0.9× 299 2.4× 49 867
Yunyao Li United States 15 92 0.3× 614 2.9× 70 0.5× 157 1.1× 268 2.1× 55 944
Theodoros Rekatsinas United States 15 103 0.4× 689 3.2× 61 0.4× 520 3.6× 244 1.9× 39 996
Arjun Srinivasan United States 17 579 2.1× 366 1.7× 72 0.5× 32 0.2× 80 0.6× 41 937
Javier Vázquez-Salceda Spain 13 54 0.2× 275 1.3× 139 0.9× 94 0.6× 164 1.3× 51 560
Lois Delcambre United States 17 68 0.3× 414 1.9× 82 0.5× 80 0.6× 347 2.8× 107 883
Theresia Gschwandtner Austria 13 465 1.7× 228 1.1× 59 0.4× 46 0.3× 50 0.4× 36 651
Xia Lin United States 16 288 1.1× 533 2.5× 54 0.4× 46 0.3× 369 2.9× 75 1.0k

Countries citing papers authored by Sean Kandel

Since Specialization
Citations

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

Fields of papers citing papers by Sean Kandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Kandel

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

All Works

10 of 10 papers shown
1.
Vartanov, Alexander R., et al.. (2021). Immunotherapy-associated complete heart block in a patient with NSCLC: A case report and literature review. Respiratory Medicine Case Reports. 33. 101390–101390. 5 indexed citations
2.
Kandel, Sean. (2019). An Evidence-based Look at the Effects of Diet on Health. Cureus. 11(5). e4715–e4715. 9 indexed citations
3.
Hellerstein, Joseph M., Jeffrey Heer, & Sean Kandel. (2018). Self-Service Data Preparation: Research to Practice.. IEEE Data(base) Engineering Bulletin. 41. 23–34. 15 indexed citations
4.
Heer, Jeffrey, Joseph M. Hellerstein, & Sean Kandel. (2015). Predictive Interaction for Data Transformation. Conference on Innovative Data Systems Research. 42 indexed citations
5.
Nasef, Nehad, Abd Elazeez Shabaan, Sabah Mohammed, et al.. (2014). Factors influencing parental consent for participation in clinical research involving their children in Egypt. Eastern Mediterranean Health Journal. 20(3). 162–168. 5 indexed citations
6.
Kandel, Sean, Andreas Paepcke, Joseph M. Hellerstein, & Jeffrey Heer. (2012). Enterprise Data Analysis and Visualization: An Interview Study. IEEE Transactions on Visualization and Computer Graphics. 18(12). 2917–2926. 283 indexed citations
7.
Kandel, Sean, et al.. (2012). Microbiological Analysis of Nontyphoidal Salmonella Strains Causing Distinct Syndromes of Bacteremia or Enteritis in HIV/AIDS Patients in San Diego, California. Journal of Clinical Microbiology. 50(11). 3598–3603. 19 indexed citations
8.
Heer, Jeffrey & Sean Kandel. (2012). Interactive analysis of big data. XRDS Crossroads The ACM Magazine for Students. 19(1). 50–54. 37 indexed citations
9.
Kandel, Sean, Jeffrey Heer, Catherine Plaisant, et al.. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization. 10(4). 271–288. 221 indexed citations
10.
Cachay, Edward R., et al.. (2010). Utility of clinical assessment, imaging, and cryptococcal antigen titer to predict AIDS-related complicated forms of cryptococcal meningitis. AIDS Research and Therapy. 7(1). 29–29. 8 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

Rankless by CCL
2026