Kristen Summers

553 total citations
12 papers, 137 citations indexed

About

Kristen Summers is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Kristen Summers has authored 12 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Kristen Summers's work include Handwritten Text Recognition Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Image Processing and 3D Reconstruction (3 papers). Kristen Summers is often cited by papers focused on Handwritten Text Recognition Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Image Processing and 3D Reconstruction (3 papers). Kristen Summers collaborates with scholars based in United States. Kristen Summers's co-authors include Daniela Rus, John E. Hopcroft, Naren Ramakrishnan, Chang‐Tien Lu, David R. Mares, Jaime Arredondo, Ilya Zavorin, Ting Hua, Feng Chen and P. J. Butler and has published in prestigious journals such as Computer, IEEE Intelligent Systems and Big Data.

In The Last Decade

Kristen Summers

12 papers receiving 126 citations

Peers

Countries citing papers authored by Kristen Summers

Since Specialization

Citations

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

Fields of papers citing papers by Kristen Summers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristen Summers

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Watson Discovery Advisor: Question-answering in an industrial setting 2016 ·(unknown), Graham Katz, Allen Ginsberg, (unknown), (unknown), Paul Chase, (unknown), Kristen Summers	1
2	EMBERS at 4 years 2016 ·Sathappan Muthiah, P. J. Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, José Cadena, Chang‐Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Summers, Graham Katz, (unknown), Jaime Arredondo, Dipak K. Gupta, David R. Mares, Naren Ramakrishnan	17
3	Model-Based Forecasting of Significant Societal Events 2015 ·IEEE Intelligent Systems ·Naren Ramakrishnan, Chang‐Tien Lu, Madhav Marathe, Achla Marathe, Anil Vullikanti, Stephen Eubank, Scotland Leman, Michael J. Roan, John S. Brownstein, Kristen Summers, Lise Getoor, Aravind Srinivasan, Tanzeem Choudhury, Dipak K. Gupta, David R. Mares	5
4	Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System 2014 ·Big Data ·(unknown), Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, (unknown), Sathappan Muthiah, P. J. Butler, Nathan Self, Liang Zhao, Chang‐Tien Lu, Rupinder Paul Khandpur, (unknown), Naren Ramakrishnan	19
5	The EMBERS architecture for streaming predictive analytics 2014 ·(unknown), Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, (unknown), Sathappan Muthiah, Liang Zhao, Chang‐Tien Lu, P. J. Butler, Rupinder Paul Khandpur, (unknown), Naren Ramakrishnan	8
6	Analyzing Civil Unrest through Social Media 2013 ·Computer ·Ting Hua, Chang‐Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David R. Mares, Kristen Summers	28
7	A multi-evidence, multi-engine OCR system 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ilya Zavorin, (unknown), (unknown), (unknown), Kristen Summers, (unknown)	1
8	<title>Combining different classification approaches to improve off-line Arabic handwritten word recognition</title> 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Ilya Zavorin, (unknown), (unknown), (unknown), Kristen Summers	7
9	A text image enhancement system based on segmentation and classification methods 2004 ·Yaguang Yang, Kristen Summers, (unknown)	4
10	<title>Document image improvement for OCR as a classification problem</title> 2003 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Kristen Summers	6
11	Automatic Discovery of Logical Document Structure 1998 ·eCommons (Cornell University) ·Kristen Summers, John E. Hopcroft	20
12	Using White Space for Automated Document Structuring 1994 ·eCommons (Cornell University) ·Daniela Rus, Kristen Summers	21

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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