Barbara H. Kwaśnik

916 citations
32 papers · 589 indexed · h-index 13

Barbara H. Kwaśnik

30 papers receiving 480 citations

Peers

Barbara H. Kwaśnik
Comparison fields: 5 of 93
  • Artificial Intelligence 218
  • Information Systems 217
  • Human-Computer Interaction 117
  • Information Systems and Management 100
  • Communication 78
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Citations per field
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Citations per year

Countries citing papers authored by Barbara H. Kwaśnik

Since Specialization
Citations

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

Fields of papers citing papers by Barbara H. Kwaśnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara H. Kwaśnik. 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 Barbara H. Kwaśnik. The network helps show where Barbara H. Kwaśnik may publish in the future.

Co-authorship network of co-authors of Barbara H. Kwaśnik

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 4
3 53
4 52
5 43
6 3
7
Can document-genre metadata improve information access to large digital collections?
36
8 12
9 2
10 21
11
Identifying Document Genre to Improve Web Search Effectiveness. The Bulletin of the American Society for Information Science and Technology
1
12
The R ole of Classific ation in Knowledge Represantation and Discovery
5
13
The Role of Classification in Knowledge Representation and Discovery.
159
14 18
15
HCI: Whose Problem Is It Anyway?
9
16 3
17
The influence of context on classificatory behavior
26
18 12
19 34
20 25

About Barbara H. Kwaśnik

Barbara H. Kwaśnik is a scholar working on Literature and Literary Theory, Artificial Intelligence and Human-Computer Interaction, having authored 32 papers that have together received 589 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (6 papers), Advanced Text Analysis Techniques (4 papers) and Digital Humanities and Scholarship (3 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Library and Information Sciences (25 citations) and Information Systems and Management (100 citations). Barbara H. Kwaśnik has collaborated with scholars based in United States, Finland and Israel. Frequent co-authors include Kevin Crowston, Dmitri Roussinov, Michael S. Nilan, Nicholas J. Belkin, Jin Cai, Xiaoyong Liu, Victoria L. Rubin, Michael D. Harrison, Rob Procter and Gilbert Cockton. Their work appears in journals such as Information Technology and People, The International Journal of Oral & Maxillofacial Implants and Library trends.

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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