Brian Summa

461 citations
27 papers · 284 · h-index 11

Impact in

Papers in

Brian Summa

24 papers receiving 275 citations

Peers

Brian Summa
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 69
  • Computer Vision and Pattern Recognition 157
  • Biophysics 34
  • Information Systems and Management 32
  • Hardware and Architecture 23
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Aaron Adcock United States
Pedro Comesaña Spain
Emil Axelsson Sweden
Jyh-Jong Tsay Taiwan
Ravi Teja Mullapudi United States
Jeff A. Stuart United States
Paul Mackerras Australia
Gwenaël Doërr France
Yun-Qing Shi United States
Fengguang Song United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Summa

Since Specialization
Citations

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

Fields of papers citing papers by Brian Summa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Summa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Summa Line = papers co-authored together Brian Summa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201133
2 201133
3 201230
4 201124
5 201824
6 201122
7 202020
8 201216
9 201414
10 201612
11 201011
12 20119
13 20227
14 20175
15 20135
16 20135
17 20113
18 20203
19
Comparing Distance Metrics on Vectorized Persistence Summaries
20202
20 20162

About Brian Summa

Brian Summa is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 27 papers that have together received 284 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Data Visualization and Analytics (8 papers), Advanced Vision and Imaging (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Topological and Geometric Data Analysis (5 papers), Cell Image Analysis Techniques (4 papers), Advanced Data Storage Technologies (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (69 citations), Computer Vision and Pattern Recognition (157 citations), Biophysics (34 citations), Information Systems and Management (32 citations) and Hardware and Architecture (23 citations). Brian Summa has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Valerio Pascucci, Julien Tierny, Peer‐Timo Bremer, Giorgio Scorzelli, Bei Wang, Mikael Vejdemo‐Johansson, Huy T. Vo, Claudio Silva, João L. D. Comba and Ming Jiang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, ACM Transactions on Graphics, Journal of Pathology Informatics and Advances in parallel computing.

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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