Brian Summa

457 citations
25 papers · 248 · h-index 10

Impact in

Papers in

Brian Summa

21 papers receiving 240 citations

Peers

Brian Summa
Comparison fields: 5 of 48
  • Computer Graphics and Computer-Aided Design 61
  • Computer Vision and Pattern Recognition 142
  • Biophysics 31
  • Information Systems and Management 22
  • Signal Processing 31
Replace Emil Axelsson with:
Emil Axelsson Sweden
Jyh-Jong Tsay Taiwan
Pedro Comesaña Spain
Yun-Qing Shi United States
Gwenaël Doërr France
Ashim Garg United States
Paul Mackerras Australia
Adobe Press
Ernst Althaus Germany
Jérémy Barbay Chile
Brian Summa relative to Emil Axelsson Sweden Emil Axelsson's profile →
Citations per field
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Emil Axelsson · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201132
2 201129
3 201229
4 201823
5 201123
6 201120
7 202018
8 201414
9 201612
10 201011
11 20119
12 20226
13 20175
14 20134
15 20113
16 20203
17
Comparing Distance Metrics on Vectorized Persistence Summaries
20202
18 20162
19 20111
20 20101

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 25 papers that have together received 248 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (8 papers), Data Visualization and Analytics (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Topological and Geometric Data Analysis (5 papers), Cell Image Analysis Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (61 citations), Computer Vision and Pattern Recognition (142 citations), Biophysics (31 citations), Information Systems and Management (22 citations) and Signal Processing (31 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, Mikael Vejdemo‐Johansson, Bei Wang, Giorgio Scorzelli, Huy T. Vo, João L. D. Comba, Claudio Silva 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 PubMed.

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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