Jonathan Schler

3.4k total citations
36 papers, 2.0k citations indexed

About

Jonathan Schler is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Jonathan Schler has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Jonathan Schler's work include Authorship Attribution and Profiling (16 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (12 papers). Jonathan Schler is often cited by papers focused on Authorship Attribution and Profiling (16 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (12 papers). Jonathan Schler collaborates with scholars based in Israel and United States. Jonathan Schler's co-authors include Moshe Koppel, Shlomo Argamon, James W. Pennebaker, Ronen Feldman, Ido Dagan, Benjamin Rosenfeld, Yonatan Aumann, David Sarne, Moshe Fresko and Kate Loveys and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Communications of the ACM.

In The Last Decade

Jonathan Schler

32 papers receiving 1.8k citations

Peers

Jonathan Schler
Comparison fields: 5 of 76
  • Artificial Intelligence 1.8k
  • Information Systems 542
  • Sociology and Political Science 330
  • Human-Computer Interaction 106
  • Communication 86
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Citations per field, relative to Jonathan Schler
Jonathan Schler · 1×
Citations per year, relative to Jonathan Schler
Jonathan Schler · 1×

Countries citing papers authored by Jonathan Schler

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Schler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Schler

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Schler. A scholar is included among the top collaborators of Jonathan Schler 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 Jonathan Schler. Jonathan Schler 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 1
7
Utilizing Natural Honeypots for Efficiently Labeling Astroturfer Profiles.
1
8 16
9
Automatic Thesaurus Construction for Modern Hebrew.
1
10
Authorship Attribution: What's Easy and What's Hard?
10
11
Statistical Thesaurus Construction for a Morphologically Rich Language
6
12
Authorship Attribution in Law Enforcement Scenarios
5
13 311
14
Measuring Differentiability: Unmasking Pseudonymous Authors
109
15 18
16
Effects of Age and Gender on Blogging
343
17
Using neutral examples for learning polarity
10
18 99
19 0
20 8

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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