Gene Golovchinsky

2.6k citations
69 papers · 1.7k indexed · h-index 23
Topics
Information Retrieval and Search Behavior (30 papers)Personal Information Management and User Behavior (18 papers)Semantic Web and Ontologies (15 papers)

In The Last Decade

Gene Golovchinsky

64 papers receiving 1.5k citations

Peers

Gene Golovchinsky
Comparison fields: 5 of 82
  • Information Systems 746
  • Human-Computer Interaction 484
  • Computer Vision and Pattern Recognition 459
  • Artificial Intelligence 370
  • Information Systems and Management 334
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Citations per field
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Citations per year

Countries citing papers authored by Gene Golovchinsky

Since Specialization
Citations

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

Fields of papers citing papers by Gene Golovchinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Golovchinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Gene Golovchinsky. A scholar is included among the top collaborators of Gene Golovchinsky 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 Gene Golovchinsky. Gene Golovchinsky 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 14
2 12
3
SearchPanel: A browser extension for managing search activity
0
4 5
5 39
6 109
7 29
8 4
9 14
10 2
11 4
12 17
13
IN INFORMATION EXPLORATION
3
14 3
15 1
16 224
17
Browsing local and global information
7
18
Is Recall Relevant? An Analysis of How User Interface Conditions Affect Strategies and Performance in Large Scale Text Retrieval.
3
19
Interactive exploration as a formal text retrieval method : how well can interactivity compensate for unsophisticated retrieval algorithms
10
20
Information visualization and interactive querying for online documentation and electronic books
1

About Gene Golovchinsky

Gene Golovchinsky is a scholar working on Human-Computer Interaction, Information Systems and Management and Information Systems, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (30 papers), Personal Information Management and User Behavior (18 papers) and Semantic Web and Ontologies (15 papers). The work is most often cited by research in Human-Computer Interaction (484 citations), Information Systems and Management (334 citations) and Computer Science Applications (181 citations). Gene Golovchinsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Morgan N. Price, Bill N. Schilit, Pernilla Qvarfordt, Jeremy Pickens, Miles Efron, Catherine C. Marshall, Maribeth Back, Chirag Shah, Mark Chignell and Andreas Girgensohn. Their work appears in journals such as Communications of the ACM, Computer and Information Processing & Management.

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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