Nick Cramer

1.3k total citations
10 papers, 178 citations indexed

About

Nick Cramer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Nick Cramer has authored 10 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Nick Cramer's work include Data Visualization and Analytics (5 papers), Advanced Text Analysis Techniques (3 papers) and Data Management and Algorithms (2 papers). Nick Cramer is often cited by papers focused on Data Visualization and Analytics (5 papers), Advanced Text Analysis Techniques (3 papers) and Data Management and Algorithms (2 papers). Nick Cramer collaborates with scholars based in United States and Germany. Nick Cramer's co-authors include Kristin Cook, Alex Endert, Russ Burtner, Anuj Shah, S. Havre, Alan Turner, Aritra Dasgupta, J. Joshua Thomas, Joon‐Yong Lee and Samuel Payne and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Information Visualization and University of North Texas Digital Library (University of North Texas).

In The Last Decade

Nick Cramer

10 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nick Cramer United States	7	126	79	30	21	18	10	178
Stuart Rose United States	5	79 0.6×	38 0.5×	29 1.0×	16 0.8×	30 1.7×	13	127
Dominik Jäckle Germany	10	255 2.0×	104 1.3×	40 1.3×	68 3.2×	12 0.7×	28	326
Helen Gibson United Kingdom	7	98 0.8×	47 0.6×	66 2.2×	20 1.0×	26 1.4×	17	210
Fabian Sperrle Germany	10	152 1.2×	115 1.5×	7 0.2×	21 1.0×	17 0.9×	16	239
Wojciech Basalaj United Kingdom	6	221 1.8×	43 0.5×	9 0.3×	32 1.5×	11 0.6×	7	262
Tomohiro Fukuhara Japan	8	41 0.3×	79 1.0×	29 1.0×	11 0.5×	62 3.4×	33	181
Shah Rukh Humayoun Germany	8	75 0.6×	47 0.6×	14 0.5×	18 0.9×	67 3.7×	54	183
Claudiu Musat Switzerland	10	78 0.6×	303 3.8×	22 0.7×	12 0.6×	54 3.0×	20	343
Luchen Tan Canada	9	24 0.2×	104 1.3×	21 0.7×	12 0.6×	61 3.4×	20	156
Vivek Ramavajjala United States	3	35 0.3×	103 1.3×	7 0.2×	7 0.3×	38 2.1×	3	168

Countries citing papers authored by Nick Cramer

Since Specialization

Citations

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

Fields of papers citing papers by Nick Cramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Cramer

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Cramer. A scholar is included among the top collaborators of Nick Cramer 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 Nick Cramer. Nick Cramer 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:

10 of 10 papers shown

1.

Paul, Celeste Lyn, et al.. (2018). TexTonic: Interactive visualization for exploration and discovery of very large text collections. Information Visualization. 18(3). 339–356. 10 indexed citations

2.

Dasgupta, Aritra, et al.. (2016). Familiarity Vs Trust: A Comparative Study of Domain Scientists' Trust in Visual Analytics and Conventional Analysis Methods. IEEE Transactions on Visualization and Computer Graphics. 23(1). 271–280. 39 indexed citations

3.

Cook, Kristin, Nick Cramer, David Israël, et al.. (2015). Mixed-initiative visual analytics using task-driven recommendations. 9–16. 29 indexed citations

4.

Endert, Alex, et al.. (2013). Typograph: Multiscale spatial exploration of text documents. 17–24. 11 indexed citations

5.

Whitney, Paul, Dave Engel, & Nick Cramer. (2009). Mining for Surprise Events Within Text Streams. 617–627. 6 indexed citations

6.

Gregory, Michelle, et al.. (2007). Visual Analysis of Weblog Content. University of North Texas Digital Library (University of North Texas). 15 indexed citations

7.

Cowley, Wendy, et al.. (2005). Enabling massive scale document transformation for the semantic web. 23–25. 6 indexed citations

8.

Wong, Pak Chung, Beth Hetzler, Christian Posse, et al.. (2005). IN-SPIRE InfoVis 2004 Contest Entry. r2–r2. 23 indexed citations

9.

Wong, Pak Chung, Beth Hetzler, Christian Posse, et al.. (2004). IN-SPIRE InfoVis 2004 Contest Entry. 216. 34 indexed citations

10.

Gorton, Ian, et al.. (2004). An efficient, scalable content-based messaging system. 278–285. 5 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