Allan Kuchinsky

6.0k citations
27 papers · 2.2k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Allan Kuchinsky

26 papers receiving 2.0k citations

Hit Papers

Guidelines for using multiple views in information visualization 2000 · 508 citations
5082000202620082017100200300400500

Peers

Allan Kuchinsky
Comparison fields: 5 of 160
  • Human-Computer Interaction 417
  • Computer Vision and Pattern Recognition 809
  • Information Systems and Management 194
  • Computer Networks and Communications 320
  • Signal Processing 129
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Allan Kuchinsky relative to Nathaniel Good United States Nathaniel Good's profile →
Citations per field
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Citations per year

Countries citing papers authored by Allan Kuchinsky

Since Specialization
Citations

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

Fields of papers citing papers by Allan Kuchinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Allan Kuchinsky, 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 Allan Kuchinsky Line = papers co-authored together Allan Kuchinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201067
2 2010188
3 200975
4 200818
5 200811
6 200453
7 20043
8 200219
9 20023
10
Guidelines for using multiple views in information visualization
Hit paper breakdown →
2000508
11 2000210
12 2000222
13 1999137
14 199962
15 19966
16 19961
17 199457
18 199382
19
The dynamics of small group decision-making using electronic mail
199010
20 199054

About Allan Kuchinsky

Allan Kuchinsky is a scholar working on Human-Computer Interaction, Information Systems and Management, Computer Vision and Pattern Recognition, Molecular Biology and Computer Networks and Communications, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Multimedia Communication and Technology (5 papers), Biomedical Text Mining and Ontologies (4 papers), Gene expression and cancer classification (4 papers), Caching and Content Delivery (3 papers), Usability and User Interface Design (3 papers), Personal Information Management and User Behavior (2 papers) and Team Dynamics and Performance (2 papers). The work is most often cited by research in Human-Computer Interaction (417 citations), Computer Vision and Pattern Recognition (809 citations), Information Systems and Management (194 citations), Computer Networks and Communications (320 citations) and Signal Processing (129 citations). Allan Kuchinsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Allison Woodruff, Michelle Baldonado, Anna Bouch, Nina Bhatti, Celine Pering, Abbe Don, Steven Ariss, Dávid Fröhlich, John H. Morris and Michael Creech. Their work appears in journals such as Bioinformatics, Communications of the ACM, Current Protocols in Bioinformatics, PLoS Computational Biology and Computer Supported Cooperative Work (CSCW).

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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