Kris Jack

404 citations
21 papers · 208 · h-index 9

Impact in

Papers in

    • Web Data Mining and Analysis 4
    • Web visibility and informetrics 3
    • Recommender Systems and Techniques 3
    • Topic Modeling 6
    • Natural Language Processing Techniques 3
    • Advanced Text Analysis Techniques 3

Kris Jack

18 papers receiving 193 citations

Peers

Kris Jack
Comparison fields: 5 of 39
  • Statistics, Probability and Uncertainty 56
  • Information Systems 107
  • Communication 20
  • Artificial Intelligence 87
  • History and Philosophy of Science 12
Replace Emma McCulloch with:
Emma McCulloch United Kingdom
Amjad Abu-Jbara United States
Michael Ley Germany
Sagnik Ray Choudhury United States
Priscilla Caplan United States
Monica Lestari Paramita United Kingdom
Mark Meiss United States
Kapil Thadani United States
Karel Ježek Czechia
Or Biran United States
Kris Jack relative to Emma McCulloch United Kingdom Emma McCulloch's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kris Jack

Since Specialization
Citations

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

Fields of papers citing papers by Kris Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kris Jack, 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 Kris Jack Line = papers co-authored together Kris Jack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201454
2 201219
3 201418
4 201515
5 201213
6 201712
7 201212
8 201211
9 20148
10 20168
11 20128
12 20128
13 20026
14 20125
15
{{citation needed}}: Filling in Wikipedia's Citation Shaped Holes.
20144
16 20133
17 20172
18
From Syllables to Syntax: Investigating Staged Linguistic Development through Computational Modeling
20061
19
A Computational Model of Emergent Simple Syntax: Supporting the Natural Transition from the One-Word Stage to the Two-Word Stage
20041
20 20160

About Kris Jack

Kris Jack is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing, having authored 21 papers that have together received 208 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Data Quality and Management (4 papers), Web Data Mining and Analysis (4 papers), Natural Language Processing Techniques (3 papers), Web visibility and informetrics (3 papers), Advanced Text Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Language and cultural evolution (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (56 citations), Information Systems (107 citations), Communication (20 citations), Artificial Intelligence (87 citations) and History and Philosophy of Science (12 citations). Kris Jack has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Peter Kraker, Roman Kern, Michael Granitzer, Christian Schlögl, Christian Gumpenberger, Juan Gorraiz, Stefan Klampfl, Robert P. Knight, Saúl Vargas and Stefanie Lindstaedt. Their work appears in journals such as D-Lib Magazine, International Journal on Digital Libraries, Scientometrics, Program electronic library and information systems and International Journal of Technology Enhanced Learning.

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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